This points to a deeper issue: Many organizations have automated tasks and implemented point solutions, but they haven’t fundamentally changed how work flows across their ecosystems.

Understanding why so many teams stop short of autonomous automation requires looking behind the technology curtain to examine how automation is governed and embedded into the operating model. It’s the accumulation of structural constraints that can quietly but consistently slow progress. These constraints show up less in tooling decisions and more in people and process issues.

Automation advances faster than operating models

If you introduce automation into environments that weren’t designed to support it at scale, your processes will be automated without being restructured. The risk is that ownership stays distributed and decision-making feels unclear.

There’s a practical ceiling you’ll reach in this scenario. Dependencies and exceptions will multiply, because what worked for a handful of workflows is difficult to extend across end-to-end processes. At this stage, automation won’t be slowed by technical limits, but by uncertainty around who can change what, when and under what conditions.

Autonomous automation is driven by shared accountability across IT, operations and the business. That doesn’t mean everyone owns everything, but it does mean no critical process lives entirely within one function’s control. Decisions about logic, exceptions, risk and change management have to be made in the open with a clear operating model behind them. Without that, automation can move quickly in pockets but will always stall when it reaches the seams between teams.

Complexity becomes institutionalized

The report shows that workflow complexity is the most commonly cited barrier to automation adoption. Such complexity is generally unplanned or accidental — the result of years of layered systems and incremental fixes.

Rather than being addressed directly, complexity is often worked around. Teams automate what they can without disturbing upstream or downstream dependencies. Over time, automations inherit the same structural complexity as the environment they operate in. This increases costs and makes change progressively harder to justify.

It also creates a troublesome paradox. You’re introducing automation to simplify execution, but it becomes embedded in architectures that are stuck in the proverbial mud. Autonomous automation depends on the opposite condition: predictable, observable systems designed to adapt without constant intervention.

Governance keeps automation in a holding pattern

As automation’s surface area expands, governance typically becomes more restrictive. Controls are added to reduce risk, but many times without a corresponding increase in transparency or coordination.

In practice, you end up performing cautious automation. Your teams avoid automating processes that cross organizational boundaries because changes require lengthy approvals. The automations you do have may be reliable, but they’re static and siloed.

The research shows that only 10% of organizations prioritize automation adoption at the enterprise level. This can manifest as a focus on preventing failure instead of enabling evolution. Your governance framework should support change in addition to stability.

Utilization plateaus before autonomy emerges

Most organizations own capable automation platforms, but only 27.5% fully utilize them, according to the same study. Underutilization isn’t simply a matter of missing features. It reflects how automation is positioned. Is it treated as a strategic capability or simply supporting infrastructure?

It’s common to only automate what’s immediately visible or urgent, then leave broader opportunities unexplored. You hit a plateau when you continue to do only this, normalizing automation but not expanding its reach. And it’s difficult to overcome without explicit goals tied to utilization and scale.

Autonomy requires confidence and capability

A less visible barrier to autonomy is confidence in automation itself. Many leaders hesitate to allow systems to operate without human oversight, especially when outcomes have financial, regulatory and operational consequences. That’s understandable, but only a true risk if you don’t have strong observability, auditability and recovery mechanisms in place. In which case, you have to default to manual checkpoints.

Redwood’s data suggests that organizations achieving higher levels of automation maturity tend to pair execution with visibility and control. Autonomy becomes possible only when trust in the system is established.

Be among the few that move forward

Those who progress toward autonomous automation behave differently long before they reach it. They treat automation as a coordinated capability, not a collection of tools. And they invest in simplification and accountability across IT, operations and the business — early, not after complexity has set in.

The “Enterprise automation index 2026” provides deeper insight into where most organizations stall and what differentiates those that continue to advance up the ladder of automation maturity. Use this data as a practical lens for evaluating and reworking your organization’s automation trajectory.

That’s because most systems and teams just aren’t built for AI yet. The hype is running ahead of the architecture. According to Redwood Software’s “Enterprise automation index 2026,” nearly 40% of organizations admit they’re not ready to adopt or implement AI-driven automation. 

This isn’t about getting access to a model. It’s not even about building one. Readiness is the boring stuff under the hood: data quality, process consistency, orchestration, exception handling. That’s what makes AI useful (or useless).

Redwood’s data shows that fewer than 6% of companies have reached autonomous automation in any major business process. Most are still crawling, even in high-stakes areas like quote-to-cash. So when an AI tool misfires — maybe it reorders the wrong part, flags a non-issue or misroutes a service ticket — the real problem isn’t the AI. It’s everything feeding into it.

You invested in automation, but did you stabilize it?

More than 73% of companies say they increased automation spending last year. Only 36.6% feel ready to apply AI. That should tell you something. A lot of teams bought the tools, but the groundwork isn’t there.

If your workflows are still rule-based and brittle, your exception handling is half-human, half-spreadsheet and your APIs are duct-taped together from three systems ago, using AI won’t solve that. It’ll just scale the mess instead. This is what stalls pilots: not bad models — broken environments.

About your workflows…

You’ve got platforms everywhere. CRM, ERP, maybe a ticketing system for customer support or field service. They work (sort of), but they’re not exactly talking to each other.

You’ve got automation, but it’s scattered across tools. And it’s hard to know what’s actually happening when something goes wrong. Now imagine dropping AI into that mix and asking it to make decisions, in real time and with real impact. 

We’ve seen this movie. The pilot works, and the chatbot answers a few questions. The predictive model makes a recommendation. But there’s no feedback loop, no clean handoff, no way to measure if the output actually helped. So the pilot ends, and nobody wants to own it anymore.

Here’s what you’re skipping — and shouldn’t

Most AI efforts start with the use case. 

• Let’s automate onboarding
• Let’s forecast demand
• Let’s personalize support

Fine goals. But what about:

• Who owns the outcome when AI makes a choice?
• Can you see — and explain — how it got to that choice?
• What happens when something breaks at 3 AM?
• Can the system ask for help? Does it even know it needs to?

Governance. Data orchestration. Exception flows. Alignment with actual business outcomes.

These are boring, but when you skip them, you end up with a demo, not a system.

What the mature teams are doing

They’re not chasing shiny tools; they’re tuning the engine. Here’s what we see from the AI-ready crowd:

• End-to-end workflow automation that connects systems, not just apps
• Clean, version-controlled datasets that support real-time decision-making
• Clear governance rules that define what AI can (and can’t) do
• Exception handling that doesn’t depend on someone checking their inbox

Redwood customers who follow this approach are:

• 2x as likely to cut manual workloads by 50%
• 1.6x as likely to improve operational efficiency
• More likely to reduce costs by over 50%

These teams aren’t more enthusiastic about AI-powered solutions. They’re just more prepared.

Are you actually ready for AI?

It’s a fair question. Before you deploy another chatbot or predictive model, take a hard look at what’s underneath:

1. Are your business processes clearly mapped and automated?
2. Can your systems handle complex tasks — or just repetitive ones?
3. Are your AI models getting data they can actually trust?
4. Do your outputs link back to measurable outcomes?

AI won’t magically fix disorganized operations. But it will accelerate what’s already there — good or bad. If you haven’t mapped your exceptions, validated your inputs or built real-time visibility across systems, you’re not ready yet. And that’s okay. That’s fixable.

But don’t plug in AI and expect it to clean things up. Clean first, then scale.
Want to know how your automation foundation stacks up? Download the full report and benchmark your AI readiness.

While 73% of companies increased their automation spend last year, less than 30% are fully utilizing their tools. The data is clear: the issue isn’t a lack of investment or technology — it’s a stubborn execution gap.

In a climate where every budget line is under the microscope, automation is still getting the green light. That’s because the business case is solid.

• 37% of organizations report that automation reduced costs by over 25%
• 43% have cut manual workloads by at least a quarter
• 49% say it increased efficiency by the same amount

Those are meaningful results, but they’re not the norm. The data also reveals a widespread failure to scale. 

From where I sit, working alongside enterprise teams on automation migration and orchestration every day, I can tell you this isn’t a technology issue. It’s a stubborn execution gap.

The 4 traps of underperforming automation

Too many organizations treat automation like an arms race, adding new tools to plug gaps and hoping for the best. My team sees the consequences of this approach daily, typically in these four traps:

1. Ad hoc tool sprawl: Marketing, Finance and IT all buy their own automation tools, creating “shadow automation.” These siloed, ungoverned processes don’t share data, follow security protocols or align with a larger strategy, undermining enterprise-wide visibility.  
2. Stopping at the task level: Teams often automate the simplest, low-hanging fruit and then declare victory, ignoring the cross-functional processes where the real value lies. This technical debt accrues until a critical process, like month-end close or supply chain fulfillment, inevitably breaks, leading to frantic, manual interventions.
3. Legacy tech dependency: Many enterprises still run their most important processes on outdated schedulers or basic scripts. These tools lack the visibility, error handling and security features required for today’s business. When they fail (and they do), the business impact is immediate and severe, but migrating off them is perceived as too difficult.
4. No automation strategy: Without a plan to consolidate, migrate and optimize, the collection of tools becomes a digital junkyard. The organization has technically invested in automation, but operationally, nothing has changed. The tools are there, but they’re underutilized, misaligned or completely isolated.

These execution pitfalls are symptoms of a deeper issue, one that consistently derails even well-funded automation projects.

Complexity: The #1 blocker to automation ROI

According to Redwood’s research, the top challenge isn’t budget, talent or tools — it’s complexity. Nearly 20% of professionals point to complex workflows as their number-one barrier to scaling automation. 

That echoes what I see in the field. Enterprises are sitting on decades of custom scripts, legacy architecture, fragile integrations and undocumented processes. And every time someone says “We’ll automate that later,” the mess grows.

When you delay migration or fail to redesign around orchestration, you lose the ability to scale. You automate the easy stuff and stall out at the first sign of friction. If you want automation to deliver, you need to:

• Standardize before you automate. Don’t just pave the path. A chaotic manual process will only become a faster chaotic automated process. Take the time to map, simplify and standardize workflows first. This initial investment pays dividends in scalability and resilience.
• Migrate strategically. A simple “lift-and-shift” of old jobs to a new platform just moves the problem. Strategic migration involves analyzing, consolidating and redesigning workflows to take full advantage of a modern orchestration platform’s capabilities.
• Orchestrate across systems. True value is unlocked when you manage processes end to end, from the mainframe to the cloud and across all applications. This breaks down the silos between IT operations, data pipelines and business applications, which the report identifies as a key challenge for industries like finance.
• Align to business outcomes. The goal isn’t just to run jobs successfully; it’s to reduce costs, accelerate innovation and improve data visibility — the top three business priorities cited in the research. Frame every automation initiative around these goals.

The path to mature automation: A call to action 

If your automation investment isn’t delivering, it’s a critical warning sign. Don’t fall into the trap of simply adding more tools. The path forward requires a shift in mindset: focus on orchestration, elevate automation to a C-suite priority and build a cohesive strategy. It’s the only way to transform it from a tactical fix to a genuine growth lever for your entire organization. 

Download the full report to get:

• Automation maturity benchmarks across industries
• Barriers and drivers of automation success
• What separates top performers from the rest
• Guidance for aligning automation with business goals

69% of organizations call automation “mission-critical,” but only 10% are actually prioritizing it at the executive level.

That gap isn’t theoretical — it’s operational. And for leaders trying to move the needle on cost, innovation or speed of execution, it’s a red flag.

I’ve spent my career scaling technical and product teams, supporting global platforms and helping businesses modernize their operations. Here’s what I’ve seen consistently: Every business outcome is the result of process mechanics. If you’re not looking at automation through that lens, you’re missing the point.

Spending more ≠ Doing it better

It’s easy to assume more investment equals progress. But the data shows otherwise:

• 73% of organizations increased automation spending in the past year
• Yet only 28% say they fully utilize their tools
• And less than 6% have achieved autonomous automation in a single critical process

That’s not a funding issue. It’s a prioritization and ownership problem.

Too often, automation lives in a silo: owned by IT, disconnected from business outcomes and fragmented across departments. When that happens:

• It lacks alignment to core strategy
• It can fail to connect to key operational insights to drive better results
• It lacks the exec-level sponsorship required to scale the impact

The result? Your investment in tools doesn’t translate into an operating capability for the business.

Automation works — when it’s an aligned operating capability

Done right, automation delivers measurable results:

• 37% reduced costs by 25% or more
• 49% improved efficiency by at least 25%
• 43% cut manual workloads by a quarter

These aren’t marginal improvements. They’re operating-model shifts. But they only show up in organizations that treat automation as an integrated operating capability — not a patchwork of IT point solutions.

What do they do differently?

• They don’t just ask “What can we automate?”
• They ask “What outcome are we optimizing?” and work backward
• They measure process volume, yield, throughput and cycle time
• They build automation architectures that span systems and teams to focus on value-stream processes and outcomes
• They begin with operational objectives, identifying where current processes underperform, why those gaps exist and how automation can significantly improve the outcome.
• They treat automation not as a siloed initiative but as an embedded capability that works across Finance, Operations and Product to drive measurable improvements.

Your automation strategy should reflect your operating model — not just your tech stack.

It needs ownership.
It needs a business case.
And it needs to be framed as an operating capability, not a toolset.

I’ve seen firsthand how teams unlock transformative value when they integrate automation as an operating capability at the strategic level.

Get the full story

If these findings resonate with you, I encourage you to dive deeper. Redwood’s “Enterprise automation index 2026” unpacks:

• How teams across industries are investing in automation
• Benchmarks for tools utilization and maturity
• The most common barriers to adoption (Spoiler: It’s not budget!)
• How leaders are preparing for AI-driven automation
• What sets top-performing organizations apart

Download the full report to learn how you can move from fragmented tasks to orchestrated outcomes.

Most enterprise workflows are subject to disruption and involve variables beyond the scope of those in traditional, rule-based automation. These deviations, known as exceptions, can lead to operational bottlenecks, delayed customer orders, missed compliance deadlines and the like if they’re not properly planned for.

In large-scale business operations, where workflows are complex and interconnected, exceptions are inevitable. The real challenge for IT is to manage process exceptions, rather than just technical exceptions, which require a deeper understanding of business context. Many automation solutions are ill-equipped for the nuanced approach necessary to deal with — and help you see the impact of — anything beyond run-of-the-mill server errors or broken integrations.

Your systems should be as flexible and adaptable as the conditions in which they operate.

Technical exceptions vs. process exceptions

Process exceptions directly impact business outcomes, not just system performance. Left unresolved or poorly managed, they can lead to increased operational costs, revenue loss or customer dissatisfaction.

The limitations of traditional automation solutions in managing process exceptions

Most traditional automation platforms are designed for linear, rule-based workflows. Their rigid parameters make them effective for predictable, repeatable tasks, but they struggle with the unexpected.

A simple approval delay — a relatively common occurrence — can be a huge snag for a complex supply chain if the platform isn’t capable of initiating an API call to an ERP or CRM to gather updated details directly from source systems. Moreover, traditional tools aren’t likely to have centralized dashboards to view exceptions across the entire workflow lifecycle.

These solutions are likely to have:

• An inability to handle deviations dynamically: They assume all processes will follow pre-defined paths. When an exception pops up, the standard approach is to pause the workflow or issue an alert for human intervention, which then delays subprocesses and dependent tasks.
• A lack of business context awareness: These systems focus on task completion rather than evaluating an overall business outcome. They may flag an exception, such as a delayed shipment, without understanding that the end goal (e.g., meeting a customer’s delivery window) will still be achieved. They can’t prioritize critical issues appropriately.
• Rigid integrations with core business processes: Traditional automation solutions often lack deep integration with key systems such as ERPs. Thus, they can’t differentiate between exceptions that need immediate attention and those that can be resolved automatically.

The cost of these limitations isn’t just inefficiency; it’s operational agility and resilience — factors that can make or break your business’s survival.

Reactive to proactive: What exception handling should look like

The future of exception handling in automation begins with dynamic classification. Your system should be able to identify and categorize process exceptions in real time. Leveraging machine learning and decision rules, workload automation (WLA) platforms can determine the most appropriate response for each exception. For example, if an order approval is delayed, the system can predict whether it will impact the delivery timeline and take steps accordingly — notifying relevant parties or rerouting the workflow.

Effective process exception management requires deep integration with ERP systems so the platform can interpret business context and understand whether a deviation from the expected workflow has a material impact on a given business outcome. Let’s say a purchase order (PO) doesn’t match the exact quantity expected but still fulfills the customer’s broader requirement. The system can automatically accept it and help the IT team avoid spending time on manual intervention.

Modern WLA platforms should be capable of auto-remediating technical exceptions whenever possible. This could look like retrying a failed integration or reprocessing a stalled transaction. The system should be capable of deciding on the appropriate alerting or escalation mechanism. In a healthcare context, a platform might reassign a doctor’s appointments when an emergency surgery takes precedence over a clinic day. It could prioritize appointments based on urgency, notify patients of new appointment details and escalate if there are no suitable slots available.

To handle ongoing changes, WLA solutions must also support the adoption of new processes with configurable rules.

Make the unpredictable predictable

Even with the most robust automation strategies, process exceptions are inevitable. Business environments are always changing, and workflows will need to reflect current operational protocols and priorities.

Having a platform that automatically and wisely deals with exceptions can be the difference between a seamless operation and a drawn-out, costly disruption.

RunMyJobs by Redwood has all of the above key features: dynamic classification, deep ERP integration and auto-remediation. It stands out in the world of WLA with a low-code, drag-and-drop user interface, templates and reusable components that make process design and exception handling simple. 
Get a glimpse of the peace of mind you could gain about process exceptions: Book a demo.

The dual pressure to integrate multiple cloud computing environments with business and IT systems while implementing new technologies, such as artificial intelligence (AI), makes it challenging to meet evolving business requirements while simultaneously addressing resource constraints and filling skill gaps across new and legacy systems. 

These elements struggle to co-exist harmoniously, leaving your team mired in troubleshooting issues while attempting to integrate new technologies. To enable transformation without impacting business services, you must adopt a strategic approach to scaling your IT workload management.

Read on to explore IT workload automation as a solution — its applications in a Service Orchestration and Automation Platform (SOAP) capacity and a step-by-step guide to using it to scale effectively.

Gartner SOAP Critical Capabilities: IT workload automation 

In its 2025 Critical Capabilities for SOAPs report, Gartner® spells out five top Use Cases for these advanced workload automation tools, one of which is IT workload automation. According to the report, this use case is defined as the “automating planning, execution, management and reporting of IT workloads across enterprise systems.”

An IT workload is any program or application that runs on a computer — anything from a simple script to move some data around to a complex chain of tasks in a remote system (e.g., SAP ERP, AWS, Databricks or Informatica). A SOAP that successfully automates these functions must enable teams to:

1. Plan: Assess IT processes to identify those with high impact for performance and reliability improvements from automation.
2. Define: Map processes to workflows, set schedules, establish run and failure conditions and align them with service-level agreements (SLAs) and business outcomes.
3. Execute: Implement workloads according to predefined parameters.
4. Manage: Oversee IT operations, adjust for performance and resolve issues.
5. Report: Generate detailed insights to guide ongoing optimization.

IT processes: Quick wins for targeted scalability 

To fully capitalize on the opportunities offered by an orchestration platform, it’s important to know which processes are most suited for scaling. Depending on your current resource availability and the potential impact on your business operations, you may prefer to prioritize the simplest processes first.

Look for:

• Tasks that span multiple systems. Coordinating these can deliver efficiencies and reliability improvements. Perhaps identify achievable but challenging hybrid cloud processes or ones that span on-premises and SaaS cloud services to build on for future phases.
• Tasks that are dependent on business events. Connecting IT and business systems with workload automation means activities happen more quickly from the end-user’s point of view. Starting with IT services that are triggered in a customer-facing system can deliver demonstrable benefits in early phases.
• Tasks that are interdependent or have complex dependencies. Verifying that all the pieces are in place maximizes the likelihood of success. Workload automation allows us to do this using methods that align with skills and other solutions, reducing technical debt. Choosing tasks that often fail due to dependency on employees can show immediate benefits and are incredibly cost-effective.

The following examples are in order from simplest to most complex:

1. Backup and archival of data from across the business
2. Setup for new employees or customers across different systems
3. Automatic scaling of cloud environments up and down during company downtime
4. Disaster recovery replication management, ensuring all requirements are met
5. Data center management, managing control of physical and digital systems
6. Disaster recovery testing and activation 

Automate your way into the green: How to scale IT workloads

While there will be some variation in how you pave the way for growth and efficiency, here are some general guidelines if you’re not sure where to start.

1. Assess your current automation landscape

The first step is to perform a thorough audit of your existing automation environment. Begin by identifying solutions with automation capabilities, stand-alone automation tools, resource-intensive tasks, critical dependencies and workflows that have high latency or delays between steps.

Then, determine key performance indicators (KPIs) to establish a baseline. For example:

• Automation success and failure rates
• Process completion speed
• Manual intervention and labor costs

Or, more specific to your processes, considering our examples above:

• Data restoration request response time?
• New employee request resolution time?
• Reduced cloud computing costs?
• Disaster recovery failover testing success rates?
• Time to shut down an on-premises data center for maintenance?

Potential challenges at this stage: You may have to tackle outdated scripts and grapple with fragmented tools. Without centralized visibility, you’ll also likely face insufficient monitoring. 

Note your issues early to lay a solid foundation for the upcoming steps.

2. Build a scalable IT automation strategy

Once you’ve assessed your current automation stage, it’s time to define a true strategy for scalability. 

• Set clear, measurable goals. Do you want to reduce manual interventions by 50%? Cut job failure rates by 30% within six months?
• Prioritize high-impact cloud workloads. Focus on those that:
  • Often involving file transfers or high-volume, repeatable jobs
  • Require batch processing power
  • Cloud resource management
• Configure your workload automation for load balancing. Distributing tasks evenly across your available resources gives you the best chance of preventing bottlenecks as you take on increased demand.

3. Manage and monitor workloads in real time

Effective real-time management is essential when scaling. Dashboards can give you instant visibility into job statuses and system health. Alerts are also key for being able to rapidly respond to issues despite an increase in volume.

Set up automatic failure recovery protocols, such as job retries, failovers and escalations, to maintain continuity even when issues pop up.

The insights from your real-time monitoring are only as valuable as what you do with them. Take quick action when it becomes clear you need to adjust computing resources or dependencies to streamline execution.

Keep in mind that real-time workload management isn’t a one-and-done process. Continuous adaptability is what will make your automation efforts successful.

4. Report on and communicate automation successes

You need support from your entire leadership team and all stakeholders to keep up with the backend needs that support changes in the business. IT scalability contributes to broader business growth, but this correlation is not clear to everyone.

This means generating comprehensive reports that highlight the business impact of IT process automation. How have your workload adaptations contributed to greater efficiency in routine tasks, improved service delivery and/or a better customer experience?

If you can also use your data to help forecast your needs, you’ll be more likely to expand quickly with new automation tools and integrations, which will allow you to handle even more complex workflows and perhaps support new services. Scalability could be a self-perpetuating cycle!

Why a ranked SOAP solution should be your scaling companion

More than just running scheduled tasks, you need to strategically orchestrate automated processes to ensure your operations continue to be error-free as you grow. A SOAP solution, especially one that’s been named a Leader in the 2025 Gartner Magic Quadrant for SOAPs, is an indispensable partner along this journey.

With a Redwood Software solution, you’ll get:

• Centralized control
• Measurable efficiency gains
• Unparalleled adaptability
• Easy enforcement of compliance and governance

Redwood ranked #1 in all five Gartner Critical Capabilities Use Cases for SOAP in 2025. Download the full analyst report to find out why and envision the resilience you could achieve with all types of workloads by using a leading SOAP solution as you scale.

Even with the best intentions and the latest technology, including SAP ERP and supporting applications, you could find several factors are working against you. These roadblocks can hinder production quality, ramp up costs and even lower customer satisfaction. Read on to learn about six common obstacles to optimal manufacturing efficiency and how to overcome them.

1. Manual processes and human errors

Manual manufacturing processes are a liability. They’re time-consuming and can lead to costly mistakes with long-term repercussions. One wrong entry or miscalculation can cause delays, errors and a cascade of issues that disrupt your entire operation.

Consider a scenario in which an operator might mistakenly schedule two critical production tasks at the same time. Machines sit idle waiting for materials that aren’t ready, workers stand by with nothing to do and your production timeline stretches further than planned. The financial impacts of such errors accumulate quickly. When there’s chaos on the shop floor, your profit margins erode.

Solution: Automation is the key to mitigating these risks, but robotic process automation (RPA) is limited. Automated orchestration and data processing removes the human error component from the equation. Leveraging sophisticated time- and event-based triggers and real-time data, your workload automation solution can ensure optimal production schedules and allocate your resources efficiently. 

2. Lack of real-time data integration

Operating without real-time data is like driving a car while looking through the rearview mirror. You’re always reacting to outdated information. Disjointed systems and delayed data flows mean your production adjustments are always a step behind. Imagine you’re preparing for a major order, but your inventory data is lagging. You might overestimate your stock levels and end up with a shortage of materials. On the other hand, if you underestimate and over-purchase, you tie up capital in unused inventory. 

Solution: Real-time integration of workload automation (WLA) with your SAP solutions transforms this scenario. Data flows seamlessly across systems, providing you with up-to-the-minute insights. You can make decisions quickly and confidently, become more agile with production plans and be more precise about procurement. 

3. Inefficient resource allocation

When you have to distribute resources manually, you expend excess time and effort. Wasting resources inflates costs, and overlapping jobs create machine downtime and labor inefficiency. Picture a situation where multiple jobs are scheduled on the same machine. The results are bottlenecks and underutilized human capital. 

Solution: Automated resource planning and dynamic load balancing functionality are the answer. By analyzing and allocating resources without human intervention, your automation solution applies all of your assets where they work best. Your machines can be scheduled for maintenance at the right times, and your production will flow smoothly with minimal downtime. 

4. Inconsistent orchestration

If not orchestrated correctly, the wrong execution of background processes and transactions can create bottlenecks that ripple through your production process or cause inconsistent business data. Ad-hoc or only time-based scheduling makes your supply chain delivery timelines unreliable at best. Trying to meet a critical deadline and finding out key jobs were scheduled haphazardly is more than frustrating — it can block your value chain and even tarnish your reputation.

Solution: Adopt a more systematic approach with end-to-end orchestration. That way, you can prioritize individual jobs and transactions based on predefined criteria such as deadlines, resource availability and production requirements. With high-priority tasks completed on time, you don’t have to worry or guess about your operational efficiency.

5. Poor visibility and reporting

Without clear visibility and robust reporting, your team will have trouble identifying issues and optimizing business processes. If decision-makers fly blind, they can’t make informed choices about how to improve operations. Not knowing where bottlenecks are or which machines are underperforming can put a major dent in productivity.

Solution: Advanced reporting tools integrated with your WLA software provide detailed insights into every aspect of the production process. A consolidated solution provides a single pane of glass from which to generate comprehensive reports highlighting key performance metrics and inefficiencies. With better visibility, you can make data-driven decisions and stay proactive.

6. Scalability challenges

As your company grows, so do your production demands. Peak seasons could be particularly complicated. Keeping up with market demands and maintaining customer satisfaction is essential, and siloed automations simply won’t work when you need to accommodate higher volumes without compromising efficiency or quality. Ramping up production for a big order isn’t possible if your existing processes can’t handle the increased workload.

Solution: End-to-end process automation is scalable — so long as you streamline your workflows. Automation solutions can handle increased production volumes, optimize resource allocation and maintain high levels of efficiency even during peak times. Scalability is crucial for meeting market demands and driving growth.

Workload automation: The efficiency booster

Even if you have an ERP system and dedicated manufacturing solutions in place, you might still be losing time and money if your processes are siloed. A robust WLA solution that works across on-premises, hybrid and cloud environments is the secret weapon because it optimizes every aspect of your supply chain management and supports better decision-making.

Download our latest guide on how to maximize the return on your SAP investment with an automation solution built to drive results for manufacturing businesses. 

Given that more than 80% of global businesses are planning process automation initiatives, this moment in time is likely a crucial turning point in your business process automation journey. How should you go about developing and automating durable processes?

In this article, we’ll examine the process-related root causes of your less-than-optimal business outcomes and how to build a central nervous system in the form of end-to-end process automation that supports efficient growth.

What is an end-to-end business process?

To understand the difficulty of establishing a true end-to-end process, we should first align on what it is.

An end-to-end business process is a series of interconnected steps that collectively deliver a product or service. It encompasses all stages from initiation to completion and often requires coordination across multiple business units. 

Examples of end-to-end processes in various verticals

Processes look different for different business functions, but in every instance, an end-to-end process closes a cycle or loop that must repeat from beginning to end.

Consider some industry-specific examples:

• A utility company automatically monitors usage across a network of meters in real time and collects data in a central control system. The billing department converts usage data into invoices based on current rates and leverages billing software to distribute invoices to customers. Customer service representatives address disputes. The payment processing team follows up on overdue accounts while the finance team records successful payments.
• A retailer receives goods from suppliers, sorts them in its warehouse and prepares them for dispatch to various retail outlets or directly to consumers. Logistics teams, warehouse staff and POS systems track and optimize the flow of goods to ensure a positive customer experience.
• A consumer places an order online or with an electronics distributor. An order management system captures details and initiates production planning and manufacturing. It checks inventory for raw materials, then sets into motion assembly line operations, quality assurance tests and packaging. Logistics then coordinates delivery while a finance team creates an invoice and processes payment. When payment is received, the process loop closes.

Barriers to constructing end-to-end business processes

While their repetitive nature may make them seem simple to set up, end-to-end processes are constructed from many micro processes that must happen in just the right order at just the right time. Overwhelmed by a volume humans can’t handle, technology solutions that fail to speak to one another and siloed functions, many leaders resort to building processes that fall short of end-to-end. 

Human limitations

With any business process at scale, technology plays a starring role. Humans don’t have the time or capacity to complete as many tasks as are necessary to keep huge numbers of end-to-end processes flowing error-free. The sheer volume of data involved and the interconnectivity of modern enterprise systems require rapid decision-making and adaptation that outpace human reaction times. Bottlenecks are unavoidable and consistency is impossible when people are in charge beyond a certain critical growth stage.

Disjointed tech 

Many organizations also grapple with legacy technological architecture. Outdated systems and a proliferation of applications, including some with cumbersome customizations, can’t keep pace with the process automation evolution. Fragmentation via isolated solutions creates data silos, prevents holistic analysis and may necessitate custom coding when you’re ready to automate across the entire tech stack. Even if your leadership team recognizes the negative impact of compartmentalized information, they might be reluctant to invest the effort and resources necessary to update or replace old technology to make end-to-end automation successful.

Instead of having a solution that’s only meaningful to and accessible by your IT or operations team, for example, you need a fully integrated automation layer that transmits signals like a nervous system to every corner of your business.

Siloed visibility

The most common kink in an enterprise process nexus is this reluctance, amplified — It’s people, not infrastructure. In most roles, you won’t inherently be aware of what everyone else in the organization is doing. It’s normal to focus on your responsibilities and fail to see the bigger picture. However unintentional, this leads to the acceptance of inefficiency across many departments and processes. What you can’t see, you can’t fix.

How the day-to-day drives outcomes

End-to-end automation requires a mindset shift. Instead of zooming in on micro processes your team takes part in and staying in that myopic state, imagine them rolling up into macro processes that span multiple business functions. When macro processes become uninterrupted from beginning to end, your desired outcomes are within reach. See the chart below for how properly implemented automation supports seamless operations.

Implement your business’s nervous system

Your personal nervous system drives your ability to move, think and respond to your environment. It’s a network of impulses that manages input and output across all systems of your body. If you’ve developed sufficient coping skills, such as breathing techniques or static stretching, you can better handle what life throws your way.

Similarly, an automation nervous system must integrate and monitor all functions to ensure minor stressors don’t disrupt operations. In an environment where you’re carrying out huge numbers of repetitive tasks per day (10,000+), all of them must take place on time and factor in complex dependencies for your larger, goal-driven end-to-end processes to work. Orchestrating these tasks via comprehensive business process automation is the only viable solution.

Components of an automation-driven nervous system 

It’s not one person’s job to transition your business processes from disconnected and inefficient to unified and streamlined. It’s a strategic move by multiple process owners for the benefit of every stakeholder. To initiate and follow through on this change, your teams should be educated on the optimal infrastructure.

A well-functioning nervous system in business:

• is built on a tightly integrated foundation of enterprise-grade workload automation (WLA) and managed file transfer (MFT) solutions that support unencumbered mission-critical processes. 
• connects your tech stack via an intuitive integration layer that reduces the need for and risk of workarounds or vulnerable endpoints.
• enables IT to swiftly and smoothly collaborate with all departments to drive success and adoption among business users.
• supports the design and development of entire processes at any scale and for any industry.

Large-scale business process management via automation 

Automating critical business processes today is all about making it easier to design and develop those processes from end to end. With drag-and-drop interfaces, templates and automation wizards, you can strengthen your organization’s nervous system and establish resilience despite the volatility of the market  — or the world.

Collaboration between IT and other departments is critical to successful automation initiatives. Traditionally, there has been a divide between technical experts and business users. Bridging this gap ensures that automations properly align with strategic objectives. An effective automation platform enables non-technical users while delivering the power and flexibility that IT professionals require.

A solution that connects a hybrid tech stack sans programming and scales easily without additional technical staff or human capital investment empowers your business to evolve and accommodate future processes and technologies. 

Enterprise automation in practice: “No limits” for Journal Media Group

What does successful organization-wide automation look like? With RunMyJobs by Redwood, Journal Media Group knows from firsthand experience.

The company’s 35 radio stations, 13 TV stations and more than 20 newspapers and magazines across 11 US states keep its teams busy. In-house systems, multiple IT divisions and too many systems made it tough to confidently promise important business outcomes, such as delivering newspapers no later than 6 AM daily.

By migrating to cloud-based applications, eliminating manual steps and combining advertising, circulation and billing in one highly flexible environment, Journal Media Group discovered the benefits of a single solution. The business automated 30 in-house systems altogether. Data extraction and distribution are now complete by 5:30 PM each evening, allowing the team plenty of time to troubleshoot before morning delivery.

Achieve digital transformation and stay nimble with Redwood Software

Start building your organizational nervous system with a full stack advanced automation solution like RunMyJobs. Whether you choose an on-premise or cloud environment, RunMyJobs connects all your systems and data, provides end-to-end visibility and enables effortless automation creation. 
Discover the power of a modern automation fabric — a connective layer that integrates all of your essential processes and enables unprecedented growth and innovation. Book a demo of Redwood’s solutions to explore the potential impact on your business outcomes.

This not only hampers efficiency but also clouds the transparency that’s so vital in month-end financial reporting. The whitepaper “Master the Touchless Close” offers a ground-breaking solution to this enduring problem.

The touchless close: A paradigm shift in finance

Redwood’s solution revolutionizes the record-to-report (R2R) process, automating over 90% of the accounting processes around the financial close. The innovative approach extends beyond traditional ERP systems’ limitations, introducing the touchless close concept. This new standard in finance strategic automation redefines the role of finance teams, making them more effective and integral to the organization.

Tailored benefits for every role

The adoption of Redwood’s touchless close redefines the operational landscape for various stakeholders, delivering specific, impactful benefits aligned with the unique demands of each position.

Here’s how the touchless close enriches the roles within the finance department:

CFOs: Attain unprecedented reductions in days to close, significantly boosting efficiencies across the board. The touchless close instills a robust confidence in the accuracy of financial numbers, empowering CFOs with reliable, real-time data for strategic decision-making and investor communications.

Controllers: Leverage automated accuracy and compliance, ensuring every financial statement’s integrity. Controllers can navigate the complexities of regulatory compliance with ease, thanks to the system’s precise and automated controls, minimizing risk and enhancing the organization’s reputation.

Finance and Accounting staff: Shift from transactional tasks to strategic activities, such as analytical reviews and business support. Freed from the confines of manual entries and reconciliations, the finance staff can now devote their expertise to advising on financial strategies and optimizing financial performance.

R2R process owners: Benefit from a holistic oversight of the close process, ensuring a smooth, coordinated effort across teams. The solution’s intelligent automation process automation capabilities allow for a proactive approach to managing and refining the R2R process, thereby elevating the strategic contribution of financial reporting within the organization.

Implementing record-to-report automation transforms the finance department from a traditional cost center to a strategic powerhouse, driving operational excellence and strategic insights that reduce the close cycle and propel the organization forward.

Real-world success stories

The effectiveness of Redwood’s touchless R2R process is best illustrated through real-world case studies. Organizations across different sectors have experienced significant improvements in efficiency and accuracy, demonstrating the versatile applicability of this solution.

Here are just a few examples:

Allianz: Operating in 70 countries with €140 billion in revenue, this financial services company achieved an 70% reduction in manual effort and an impressive 11-month ROI.

Arla Foods: A $15bn CPG company, Arla Foods reduced their close by 3 days and increased efficiency by 70%.

Forvia: A $25bn car component manufacturer, Forvia enhanced business process efficiency and strengthened internal controls, deploying our solution in under 12 months.

Jabil: This manufacturing firm saved 10,000 man-hours per year on their balance sheet certification processes alone.

A strategic, incremental approach to automation

Implementing finance automation is a strategic decision. Redwood advocates for a clear vision aimed at achieving a touchless, hands-free R2R process. This approach tackles the current challenges and sets the stage for continuous improvement and innovation in finance functions.

The whitepaper “Master the Touchless Close” is a must-read for finance professionals seeking to elevate their operations. Finance teams can now transcend traditional limitations and usher in an era of enhanced efficiency, accuracy and strategic impact.

To discover the full potential of Redwood’s touchless close and how it can transform your finance function, book a demo today.

As the former CEO of one of the enterprise software leaders in analytics, I had a front-row seat to this “data fabric” revolution.  While it was easy to get caught up in the marketing hype around new terms like “big data” and “predictive analytics,” the reality was that the most competitive companies in the world were increasingly differentiating their ability to serve their customers based on how well they collected, managed and utilized their data.  By eliminating data silos, these leaders were able to consolidate and organize data from multiple sources and capture a unified view of the customer across all touchpoints.  

The inevitable domino effect

Today, the use cases and benefits of a modern data fabric architecture are apparent. And now, this revolutionary interwoven approach is happening in the automation industry. The result of this will be a requirement for every modern enterprise to build “automation fabrics” in order to effectively compete and profitably grow.  

An automation fabric is a cohesive and integrated framework that seamlessly connects various automation tools, processes and data sources. It acts as a central nervous system, enabling seamless communication and collaboration among disparate business activities, applications and environments, driving mission-critical business processes across any tech stack. Think things like procure-to-pay, just-in-time delivery, record-to-report.  

The core market change driving this revolution and the need for automation fabrics isn’t rocket science. It’s simply a number of market shifts that we have all been investing in for some time. For starters, IT is no longer relegated to being a simple enabler of the back office. Lines of business leaders expect their technology investments to drive core business outcomes, with delivering a superior customer and employee experience being the new competitive battleground. For example, how do I close the books in record time? How do I translate an online order into cash collections without error? Or, how do I massively improve the resilience of my supply chain? Each of these business outcomes starts with some kind of end-to-end business process transformation.

However, achieving that end-to-end business process transformation is now quite complicated. As best-of-breed products replaced business suites for more superior, targeted functionality, the number of applications that house these business processes, and their underlying transaction data, has absolutely exploded over the last two decades. 

The good news is these highly specialized, process-oriented applications have made many individual tasks easier and more forgettable. But the bad news is they’ve created an endless sea of silos that do everything incredibly efficiently alone but do virtually nothing together. Today, almost no business outcome — including mission-critical ones — is accomplished with just one application. Furthermore, most mission-critical business outcomes still require working with established transaction systems of record, like your ERP system. As a result, the transaction data and business processes needed to come together to drive these business outcomes require coordination across multiple applications — cloud, on-premises or hybrid — working in an orchestrated fashion.

To make things more complex, all these bespoke applications and systems often run on tech infrastructure that is constantly changing. Enterprise modernization efforts are no longer just considering a simple lift and shift from on-premises to the cloud. Instead, leaders are conducting a careful reassessment and refactoring of their entire tech stack, as they are on a mission to tear down monolithic systems and refactor their vast tech stacks to microservices architectures while putting everything into containers, including modernizing their CI/CD and DevOps pipelines for faster delivery.  

When companies start refactoring their entire tech stack into microservices and containers spinning up and down on this massive a scale, you need an immense amount of automation because human beings cannot handle this manually — it’s an n-dimensional problem. This great replatforming has created a real problem for enterprises, as their legacy automation platforms simply do not have the ability to automate business processes end to end across this full stack of mission-critical applications and underlying, ever-changing tech infrastructure. This n-dimensional complexity requires a new approach to automation. One that’s purpose-built for a best-of-breed application world but also provides the flexibility to work across any IT infrastructure you may encounter. It’s why automation will become the pervasive operation system fabric powering today’s modern enterprises. 

Choose your partner wisely

In the same way data fabrics revolutionized our ability to make more informed decisions for our companies, customers and employees, automation fabrics will now revolutionize our ability to deliver superior customer and employee experiences. Like building data fabrics, building your automation fabric requires making critical decisions around your automation platform and software partner. After all, your automation fabric will be the pervasive operation system driving your entire company. So, it’s an important decision! Some points you may want to consider in choosing your automation partner include:

• Connecting applications and systems: Can I connect deeply to all the applications and systems I need to connect to ensure seamless, end-to-end business process automation? Does this include connections to my ERP system and my SaaS and legacy applications?

• Composability: Can I create new automations quickly and at scale without extensive programming resources? Can I easily create a new automation with a drag-and-drop approach and pre-built components rather than creating code? 
  
• Monitoring and control: Can I monitor and control the myriad of processes in real time and have confidence that the processes will run to completion? Can I predict, manage and take action on SLA performance? 
  
• Confidence: How confident am I in the platform’s ability to scale its performance in a highly secure manner? Does it come with global 24/7 support?  

Harness the power of automation

You will hear a lot of buzz around enterprise businesses turning their attention to the automation fabric. But in its essence, it’s simply about tying every mission-critical business process together into a seamlessly orchestrated effort. And at its core, it’s about freeing up the time and mind space for you and your team to focus on the bigger picture and more strategic initiatives that will drive your business forward. You just need the time and space to see the forest! Your automation fabric will help you do just that.  

While RPA simplifies many processes by autonomously performing specific, structured tasks, the journey isn’t without its hurdles, especially when navigating the intricate landscape of modern business operations of various industries, including healthcare and finance.

A closer look at RPA’s limitations

Robotic process automation is not just about bots. RPA is about replicating human actions in digital tasks. These software robots or RPA bots can carry out specific, rules-based tasks, often without the need for human intervention. For example, data entry tasks in Excel or CRM systems, which were traditionally manual, can now be performed by these bots.

However, as the demand for RPA solutions grows, we’ve observed certain limitations of RPA:

Grasping beyond rules

While RPA shines in structured, rules-oriented tasks, it encounters significant limitations with tasks that eschew straightforward rules. For example, content creation or customer complaint resolution, where human empathy and creativity are crucial, can only partially be managed by bots. The pure logical processing of RPA fails to capture the nuanced, emotional and creative dimensions that human operators bring to the table.

The inescapable need for human intuition

Although highly efficient for structured tasks, bots are at a roadblock when faced with roles demanding cognitive or emotional intelligence, such as strategic decision-making or nuanced customer interactions. The cognitive capacities, creativity and emotional responsiveness of humans, or even more sophisticated technologies like AI, become paramount in these contexts.

Scaling woes

Scalability emerges as a prominent issue for RPA. A solution that might be fitting for a smaller organization or limited tasks may falter when stretched to accommodate the burgeoning needs of a growing enterprise, emphasizing a profound need for adaptable and scalable RPA solutions.

Consider a quickly growing e-commerce platform where an RPA solution. Initially, managing orders effectively could be challenging as order volumes and customer inquiries soar, pointing towards the exigency of scalability in solutions.

The dilemma with legacy systems

Integrating RPA bots with older, legacy systems, especially those devoid of modern interfacing capabilities, could impede smooth data transfer and task execution. The absence of user-friendly APIs could pose a major hindrance, making integration a cumbersome and potentially flawed process.

When these bots, highly dependent on specific user interfaces, encounter updates or changes in the UI, it disrupts their operational flow. Imagine a bot programmed for data entry into a CRM, floundering when confronted with a UI revamp where data fields and buttons are repositioned or altered. This disrupts functionality and necessitates a painstaking reconfiguration of the bot’s operational parameters.

An expanded view on digital transformation and RPA

Embracing digital transformation via RPA tools offers a pathway to automating simple tasks. Still, it comes with unique challenges, notably in managing unstructured data and ensuring scalable and secure RPA implementations. Embedding RPA software into a broader canvas of business process management (BPM) and IT process automation (ITPA) platforms is pivotal to morphing short-term fixes into sustainable, long-term solutions.

Addressing RPA implementation intricacies, from deciphering handwritten documents to ensuring robust governance and security amidst stringent regulations, is indispensable. The journey towards an efficient digital transformation using automation software involves leveraging RPA tools for simplicity and embedding them within a secure, scalable and integrated technological framework, ensuring a future-ready and resilient automation trajectory.

RPA vs. WLA — What’s the difference?

While RPA and workload automation (WLA) seek to enhance efficiency through automation, they embody different approaches and are apt for varying contexts.

• Scope and focus: RPA primarily focuses on automating rule-based, repetitive tasks and is often utilized for front-end processes. It mimics human actions, such as mouse clicks and keyboard strokes, to perform tasks. In contrast, WLA is more rooted in back-end processes, automating data workflows between applications and systems without human intervention.
• Integration and scalability: WLA is typically more scalable and deeply integrates with IT systems and applications, addressing comprehensive workload needs across an enterprise. On the other hand, RPA might confront scalability issues, particularly when dealing with enhanced task volumes or complexities, as it’s mainly used to automate tasks at a surface level.
• Use cases: RPA is ideally suited for processes that involve interacting with user interfaces or dealing with structured data. In contrast, WLA finds its stronghold in managing complex data workflows, especially in an IT environment where tasks are triggered by specific events or schedules, managing dependencies between different jobs.
• Technological depth: WLA usually necessitates a deeper technological understanding of system architectures, as it often interacts with applications at a database or API level. RPA, however, is often praised for its user-friendly nature and is generally considered easier to implement for business users without deep technical expertise.

Interestingly, the differences between RPA and WLA can shed more light on these aspects, and understanding the power of IT automation beyond efficiency can offer more depth to this discussion.

Merging RPA with advanced technologies

When RPA intertwines with intelligent automation, a dynamic synergy is formed, enabling bots to learn, adapt and manage tasks that require a dash more ingenuity and flexibility than conventional RPA assignments. Integrating blockchain with RPA introduces an unassailable layer of security and traceability, ensuring transparent and secure data handling and tracking in various processes such as finance and supply chains.

RunMyJobs by Redwood doesn’t just automate; it digitizes. Your automated processes aren’t merely efficient but also resilient and adaptable to evolving business landscapes with our solutions. We transform not only tasks but also the overarching workflow, introducing your operations to a digital era where technology and human insight integrate seamlessly.

Overcoming RPA challenges with Redwood’s solutions

Redwood’s automation solutions are adept at navigating the complexities and potential obstacles of RPA, ensuring fluid and scalable automated processes that evolve with your business. Appreciating the unique strengths of both automated and human-driven processes, our offerings ensure that while bots manage repetitive, rule-based tasks with meticulous precision, human teams guide where intuition and creativity are paramount.

Your journey towards intelligent automation begins now. It’s one thing to read about solutions and another to experience them firsthand. Together, let’s ensure every step is secure, navigating through challenges toward a future where your business processes are not just efficient but agile, robust and intrinsically aligned with your unfolding needs.

If you’re looking to understand how Redwood can help your overcome some of these limitations, consider signing up for a demo here.

The lifespan of BPM

BPM is a systematic approach that optimizes and streamlines a company’s business processes. BPM ensures enhanced workflow and improved customer experience by integrating process automation and continuous improvement techniques.

Think of it as the lifecycle of your business operations. BPM provides a comprehensive overview, from the onset of new processes, like onboarding, to the critical decision-making stages and real-time metrics monitoring. It’s all about striking a balance between the technological interfaces and human touchpoints.

Why choose BPM?

Here are five reasons a growing business should adopt BPM solutions:

1. Digital transformation: In today’s age, businesses are continually evolving with digital transformation. BPM solutions empower companies to adapt faster, especially with low-code or no-code features. Platforms such as Redwood’s Business Process Automation are a testament to this ever-evolving digital era.
2. Optimized workflow: An efficient workflow management system reduces bottlenecks and ensures processes run seamlessly. With tools like workflow automation management, you can leverage templates and drag-and-drop features to create an end-to-end process, ensuring operational efficiency.
3. Enhanced customer experience: The quicker you streamline operations and remove inefficiencies, the better your customer relationship becomes. This is where BPM shines by providing business value that directly impacts the customer experience.
4. Real-time dashboards and analytics: BPM tools offer real-time dashboards, especially hybrid cloud management solutions. This allows stakeholders to monitor processes, track business outcomes and make informed decisions.
5. Process automation and AI: Robotic process automation (RPA) and artificial intelligence (AI) are game-changers in the BPM landscape. By leveraging tools like IT automation, businesses can predict bottlenecks and streamline approvals, creating an orchestration of efficient processes.

Redwood’s commitment to optimizing and refining processes is a testament to the value it brings to the table. If you’ve been pondering the right BPM tool for your business, perhaps it’s time to consider what Redwood offers.

Final thoughts

BPM services are undeniably essential in the contemporary business environment. They serve as the bridge between business strategies, goals, and their successful execution. The benefits are evident if you consider adopting BPM or refining your current processes. Leveraging the right tools and methodologies will set your business up for undeniable success. And if you’re keen to explore more, don’t miss the opportunity to sign up for a demo with Redwood and witness the transformation first-hand.

What is a business process workflow?

A business process workflow is a defined sequence of tasks organized to complete a specific objective within a business operation. Every task in this sequence is vital and must be executed precisely to achieve the desired outcome, whether it’s onboarding a new team member or handling a purchase order. Detail is critical, and the arrangement of tasks is essential, to ensure efficiency and effectiveness.

For example, during employee onboarding, there’s a set of specific tasks like paperwork, permissions setting and team member introductions. A well-optimized workflow ensures that the new employee gets up to speed in real time, improving both their experience and the company’s efficiency.

Why is it essential?

Managing each component of every task daily is not only labor-intensive but also prone to errors. Here is where business process management (BPM) becomes crucial. BPM assists in lightening the load of manual management, distributing real-time updates to relevant parties and ensuring cohesive communication and operation throughout the team. It aims not only to minimize repetitive tasks but also to enhance the overall quality and excellence of business operations.

Workflow vs. process: A brief dive

To provide clarity: “Workflow” refers to the holistic path designed to realize a specified result, while a “process” is centered on individual tasks that occur along this path. Redwood’s workflow management software ensures that the entire path is smooth by proactively managing tasks and addressing potential roadblocks promptly and effectively. This guarantees that every step, from inception to completion, is streamlined and efficient, bolstering the performance and output of the business operations.

Each section meticulously expands upon the essential aspects of workflow, the necessity of implementing BPM and clarifying core terminology while adhering to a straightforward and clear communication style.

The value of diagrams and templates

Workflow diagrams serve as visual guides that allow you to clearly see how tasks progress through your business process workflow. They afford a clear representation of each task’s movement and interaction, which can facilitate easier identification of inefficiencies or bottlenecks, aiding in enhancing operational clarity and optimization.

Workflow automation templates facilitate a hassle-free method to manage processes like procurement and project management. By pre-defining certain aspects and stages of a workflow, templates save time, ensure consistency and increase the reliability of outcomes across repeated processes, thereby minimizing variability and ensuring steadiness in the tasks performed.

Enabling software to elevate workflows

Cloud-based software provides a powerhouse of capabilities to optimize and automate your business workflows. It facilitates ease of access, scalability and collaborative capacities that are critical in modern business environments. With software, workflows are not merely managed; they are enhanced, enabling them to operate at peak efficiency while minimizing the requirement for intensive manual oversight.

Redwood’s cloud-based business process automation does more than automate; it provides insightful observations into your business operations, offering you a detailed view of each task and process as it unfolds. This ensures not only the automation of repetitive tasks but also provides valuable data that can be used to further refine and optimize workflows, enhancing efficiency and output across the board.

Your workflows, while essential across the board, get that extra dash of finesse with Redwood Software solutions. We’re not just providing top-notch workflow automation management tools but also lending an ear to truly understand the heartbeat of today’s businesses.

Navigating a streamlined path to operational mastery

In the pursuit of operational success, the subtle yet pivotal role of business process workflows is indisputable. They streamline every task and detail, eliminating redundancies and enhancing the overall workflow process. By integrating Redwood’s solutions, you’re not merely elevating the efficacy of these workflows. You’re also forging a path where every automated process is refined and every stakeholder is aligned, ensuring management processes are optimized and enabling your business to ascend toward unmatched operational brilliance.

Ready to explore the power of streamlined automation? Sign up for a demo of Redwood’s state-of-the-art products here.

Understanding RPA and BPA

In the fast-evolving world of digital transformation, understanding the intricacies of RPA and BPA is pivotal. These technologies, armed with artificial intelligence and machine learning, aim to streamline workflows, enhance customer experience and reduce human intervention in different contexts.

What is RPA?

RPA, utilizing “bots” or RPA bots, focuses on automating individual, repetitive and rules-based tasks traditionally performed by humans. It excels in environments where interactions with user interfaces, apps and data entry processes are predominant. The bots mimic human actions, logging into apps, interpreting and triggering responses and they’re especially efficient with structured, consistent data. The implementation of RPA necessitates the precise conversion of task steps into lines of code, ensuring the bot encompasses all requisite rules and information.

When is RPA suitable?

• For executing distinct, straightforward tasks with a fixed set of rules
• In scenarios with structured, stable data

When is RPA less suitable?

• When dealing with tasks subject to frequent variations or procedural changes, as they demand constant coding modifications
• Not the best fit for orchestrating or optimizing entire workflows

What is BPA?

BPA is a comprehensive solution, incorporating API integrations, that goes beyond automating single tasks. It strives to optimize entire workflows, facilitating collaboration and incorporating analytics to assess and enhance overall business process management. BPA is ideal for situations necessitating a blend of intelligent automation, decision-making and continual adjustments to address multiple outcomes or frequent alterations in processes.

When is BPA suitable?

• For addressing complex goals related to improving user experiences or minimizing error rates
• Ideal for automating complex and variable processes like procurement and employee onboarding

When is BPA less suitable?

• For automating isolated, standalone tasks

RPA and BPA: Drawing conclusions

RPA serves as a tactical solution for automating specific tasks that mimic human activities and do not undergo frequent changes. It adds a layer of automation without altering the existing form of tasks or processes.

Conversely, BPA acts as a strategic ally, offering a holistic approach to automation. It integrates seamlessly with existing tech stacks and is ideal for scenarios where the goals extend beyond automation, focusing also on remodeling and optimizing various organizational processes.

Ultimately, many organizations deploy both RPA and BPA as intertwined components in broader hyperautomation or digital transformation initiatives, aiming to revamp and streamline their operational landscapes comprehensively.

Choosing the right automation approach

The choice between RPA and BPA hinges on the specific needs and objectives of a business. If the goal is to automate specific, repetitive tasks and reduce the load on human resources, RPA could be the suitable choice. However, for businesses looking to revamp and optimize entire processes and workflows, embracing BPA may yield more holistic and impactful results.

By implementing the appropriate automation strategy, organizations can not only increase operational efficiency and accuracy but also free up human resources to focus on more value-driven tasks and creative problem-solving, ultimately leading to enhanced productivity and customer satisfaction.

Diving deeper: Use cases and applications

In the battle of RPA vs BPA, the journey isn’t about picking one over the other in the automation arena. It’s more about diving deep into their unique strengths and recognizing how they can best fit into your organizational puzzle. By thoroughly assessing your business needs, identifying the nooks and crannies that need a boost and leveraging the right mix of automation wonders, you can usher your enterprise into an era of elevated efficiency and outstanding productivity.

RPA is the star when it comes to managing individual tasks that are high-volume and time-consuming, particularly those that are prone to human error due to dealings with unstructured data. It’s the go-to solution for automating routine, desktop-based activities and syncing with CRM and ERP systems, streamlining operations and minimizing inaccuracies.

On the other hand, BPA software takes a broader, more comprehensive approach, focusing on refining entire business processes from end to end. It’s your best bet when you’re looking to revamp your whole operational workflow, cutting out inefficiencies across the board. BPA is especially beneficial for optimizing complex processes that require smart automation and thoughtful decision-making, enhancing the overall customer experience.

If you’re dealing with tasks that feel like they take forever and are pretty repetitive, RPA is your friend. It hooks up to computer systems and does the heavy lifting, reducing the chances of mistakes happening.

And if you’re looking at the big picture, wanting to improve entire workflows and processes that are intricate and need a bit more brain power and adaptability, that’s where BPA comes in. It’s like a Swiss Army knife for automation, offering low-code solutions and ensuring every step in a process is streamlined, making the overall journey smoother and more user-friendly for everyone involved.

Redwood’s approach to automation

At Redwood, we understand the nuances of both RPA and BPA. Our business process automation solutions and IT automation tools are designed to help you navigate the automation landscape effectively. Whether you are looking to automate specific tasks with RPA or take a more comprehensive approach with BPA, Redwood’s digital automation platforms have you covered.

For an in-depth exploration of how automation can redefine your operational workflows, check out our article on bringing your SAP processes into the future.

Embarking on the automation journey may seem like a tall order at first, but with a well-rounded grasp of the nuances between RPA and BPA, coupled with the right set of tools at your disposal, fine-tuning your business processes can transition from a daunting task to a seamless, exciting adventure. Ready to explore further? Sign up for a demo of Redwood’s automation solutions today!

The pinnacle of intelligent automation

Intelligent business process automation (IBPA) integrates three key technological components: robotic process automation (RPA), artificial intelligence (AI) and machine learning (ML) to elevate and streamline business workflows. Unlike traditional automation, which simply follows prescribed rules, IBPA employs a sophisticated approach to automate complex processes.

With the application of RPA, tasks that are repetitive and rule-based can be automatically completed without human intervention. This not only enhances efficiency but also reduces the possibility of human error.

AI, on the other hand, provides the capability to analyze data, recognize patterns and make decisions. It enables systems to comprehend complex scenarios and respond appropriately, often engaging in processes that require a level of decision-making and adaptability.

Incorporating machine learning means that the automation system has the ability to learn and improve from experience. The system analyzes data from previous operations, learns from it and utilizes this knowledge to improve future process executions. It essentially enables the system to adapt and optimize its performance over time without being explicitly programmed to do so.

IBPA involves deploying bots that can execute repetitive tasks autonomously, guided by smart algorithms, freeing up human resources to focus on more strategic activities. Chatbots can instantaneously respond to customer inquiries, providing real-time support and improving customer interaction. Additionally, intelligent tools process and analyze vast and varied data, converting it into actionable insights that can inform strategic decisions and enhance operations.

IBPA is not merely about automating tasks. It’s about embedding a level of intelligence and continuous improvement within the automated workflows, ensuring they are not only efficient but also progressively evolving and adapting to changing business environments and demands.

The difference between RPA and IPA

Robotic process automation (RPA) and intelligent process automation (IPA) both play vital roles in the automation landscape, yet they serve distinctly different purposes based on their inherent capabilities.

Robotic process automation

Let’s talk about RPA first. It’s like your trusty worker bee, systematically handling repetitive, rule-based tasks with a stoic precision that ensures accuracy and consistency. RPA follows a script, diligently performing tasks like data entry, processing transactions, or managing data without the need for a human to be involved. It does its job and it does it well, but it doesn’t stray from the prescribed path or make decisions — it sticks strictly to the rules and patterns it was programmed to follow.

Intelligent process automation

Enter IPA, which essentially takes the robust, rule-following nature of RPA and gives it a bit of a cerebral boost. By integrating machine learning and natural language processing, IPA not only automates tasks but also brings a level of adaptability and decision-making to the table. It doesn’t just follow set patterns — it learns from the data it processes, adapts to evolving scenarios and makes nuanced decisions based on the insights it gathers. With IPA, you’re not just automating — you’re enabling a system that can think, learn and decide in a way that’s inherently more dynamic and responsive.

While RPA and IPA might seem quite different, they complement each other in a balanced automation strategy. RPA provides a solid foundation, ensuring repetitive tasks are handled efficiently, while IPA brings the intelligence and adaptability needed to manage more complex, decision-centric processes. The key is to understand the strengths and applications of both, ensuring that your business leverages RPA for unwavering accuracy in repetitive tasks and employs IPA when processes demand a level of decision-making and adaptation.

How intelligent automation impacts various industries

Intelligent automation is not industry-specific — its applications are diverse and transformative across various sectors. In healthcare, bots automate administrative tasks, reducing manual workloads and enabling professionals to dedicate more time to patient care.

Within financial services, sophisticated algorithms are utilized to inform decision-making, enhancing accuracy and efficiency. In the realm of supply chains, automation ensures that processes are optimized from inception to delivery, minimizing disruptions and elevating customer satisfaction by ensuring timely and accurate product deliveries.

In the last few years, numerous industries have accelerated their digital transformation, recognizing the indispensable role of automation in maintaining and enhancing business continuity and efficiency.

If you’re curious to see how businesses are utilizing these advancements, our Redwood case studies offer in-depth insights. Especially post-pandemic, industries are going full-tilt into digital transformation, realizing automation is key to keeping business smooth and continuous.

Incorporating cutting-edge automation tools into business process management

In the realm of business process management (BPM), the spotlight is increasingly shining on digital process automation (DPA), offering a roadmap to bridge traditional practices with forward-thinking initiatives. Through the utilization of innovative automation tools, businesses are not only mitigating the need for time-consuming manual tasks but are also carving pathways toward more intelligent, adaptive workflows.

Automation platforms play a pivotal role in this evolution, serving as the linchpin that connects robust apps and digital interfaces to enhance the overall user experience. Here, every interaction, whether internal or customer-facing, is designed to be as seamless and intuitive as possible, ensuring that businesses operate with a blend of efficiency and precision.

Moreover, the integration of cognitive technologies into BPM shifts the paradigm from mere task execution to more thoughtful, strategic automated actions. It’s an environment where the technology doesn’t merely perform but learns, adapts and assists in informed decision-making, driving processes that are not just replicated but intelligently optimized.

Imagine a future where each component of your business process management — from manual tasks to strategic initiatives — is seamlessly intertwined with an intelligent automation platform, empowering your operations to be more efficient, responsive and user-centric. Redwood Software offers this reality, guiding businesses towards a horizon where operational processes are not just performed but perfected. It’s not merely about stepping into the future but crafting it, with Redwood anchoring your journey towards operational excellence.

Why Redwood?

At Redwood, our business process automation solutions are tailored to address modern challenges. Our cloud-based platforms are crafted with a priority on user and customer experiences, ensuring every interaction is smooth, intuitive and user-friendly. We’ve seen firsthand what the future holds for business processes and how intelligent automation acts as an engine driving next-generation operating models.

For businesses that are ready to embrace intelligent business process automation, the path forward is illuminated with possibilities of enhancing operational efficiency and elevating customer satisfaction. If you’re prepared to propel your business processes into a future characterized by smart, efficient operations, we invite you to sign up for a quick demo of Redwood’s cutting-edge solutions today.

In this post, we’ll explore the evolution of process automation and how it can be used effectively in today’s business process management initiatives.

What is process automation?

Process automation is the digital transformation of repetitive tasks to streamline workflows and optimize business processes. It’s all about leveraging technology to carry out sequences of tasks, minimizing human intervention. It’s often referred to as business process automation (BPA), where specific software streamlines and manages workflows within an organization.

Companies often start with automating basic tasks like data input or expense approvals. But the real power lies in automating intricate, cross-functional tasks and employing sophisticated technologies for crucial business operations.

Whether it’s through dedicated automation software, RPA bots or specific scripts, the ways to embed automation in your business are numerous. It could be as straightforward as directing a customer question to the right representative or as advanced as harnessing AI to shortlist job applicants.

Process automation types

1. Robotic process automation (RPA): RPA tools empower businesses by streamlining repetitive, rule-based tasks. With RPA bots at the helm, businesses can efficiently process extensive data sets, significantly reducing the chances of bottlenecks and mistakes and ultimately accelerating their operations.
   
2. Business process automation (BPA): Taking a step further, BPA offers a broader approach to automation. It’s not just about individual tasks but about automating entire workflows. Think of transforming the manual invoicing sequence in a financial department into a swift, automated digital system, ensuring both accuracy and significant cost efficiency.
   
3. Intelligent automation: This is where RPA meets AI. By combining the two, businesses can tackle more sophisticated tasks that require a blend of repetitive execution and cognitive abilities. An instance is customer service chatbots equipped with natural language processing, ensuring a more responsive and tailored customer engagement.

Eager to see these in action? Explore more real-world case studies of businesses leveraging Redwood Software’s process automation solutions.

Benefits of process automation

Process automation isn’t just a buzzword — it’s a game changer for businesses. Embracing it offers transformative results:

• Enhanced productivity: Automation significantly boosts efficiency by removing manual, repetitive tasks and unifying diverse processes into one cohesive workflow. It’s about working smarter, not harder.
  
• Quick decision-making: With automation, collecting and analyzing vast data sets becomes swift, paving the way for faster and better-informed decisions.
  
• Elevated customer experience: Streamlined processes mean rapid responses to customer queries. Integrating tools like chatbots can provide immediate assistance, elevating the customer journey without needing constant human intervention.
  
• Rigorous compliance: Automation ensures consistent and accurate task execution. Whether it’s adhering to internal protocols or external regulations, automation enhances reliability and compliance.
  
• Cost efficiency: Process automation, especially when it digitizes manual, repetitive tasks, can dramatically reduce operating costs. In some cases, as Forrester points out, by up to 90%.
  
• Empowering employees: With automation handling mundane tasks, staff can channel their focus towards more strategic, value-added activities. This not only benefits the business but also boosts employee satisfaction.
  
• Minimized errors: Mistakes are human, but they can be costly. Process automation reduces the potential for human errors, ensuring tasks are executed correctly the first time, which safeguards both time and reputation.

Implementing process automation, particularly with a partner like Redwood, can transform how businesses operate, offering a competitive edge in an ever-evolving market.

Essential Automation Tools

The market brims with diverse process automation tools. From adaptable low-code platforms to industry-focused RPA tools, there’s a fit for every need. As automation technology evolves, businesses can integrate processes, reduce manual chores and alleviate operational strains.

Here’s a breakdown of some essential categories:

• Low-code platforms: These tools empower users with limited coding experience to create applications by dragging and dropping components. They accelerate development and deployment, making automation more accessible to a broader audience.
  
• Industry-specific RPA tools: Not all businesses operate the same and neither should their automation tools. RPA tools tailor-made for sectors like finance, healthcare or retail ensure that each industry’s unique challenges and nuances are addressed.
  
• End-to-end automation platforms: These platforms offer comprehensive solutions, automating processes from start to finish. They provide a bird’s eye view of operations, making it easier to spot inefficiencies and optimize workflows.
  
• Integration tools: As businesses use a mix of software applications, integration tools are essential. They ensure that different systems communicate seamlessly with each other, making data flow and task handoffs smoother.
  
• DevOps tools: Enhancing the collaboration between development and operations, these tools streamline the software development lifecycle. They foster continuous integration and continuous delivery, making software releases faster and more reliable.
  
• End-user automation solutions: These tools allow everyday users to automate their routine tasks. Think of macros in spreadsheets or automated email responses. They bring automation to the grassroots level, enhancing individual productivity.

For a deep dive into how Redwood’s tools revolutionize industries, check out this insightful article on workflow automation management.

The impact of automation

Embracing automation is a necessity for businesses aiming for growth and resilience. Let’s explore the notable ways automation is reshaping the business landscape:

• Elevated customer experience: Automation ensures that your customers receive timely and efficient service. Whether it’s resolving a query or processing a request, automated systems ensure a seamless experience, leading to heightened customer satisfaction.
  
• Data-driven decision making: In the information age, having vast amounts of data isn’t enough. It’s about harnessing that data effectively. Automation helps businesses collate, analyze and interpret data, enabling business leaders to make informed and strategic decisions.
  
• Operational efficiency and cost savings: Automation frees your workforce from time-consuming, mundane and repetitive tasks. This not only leads to significant cost savings but also allows your team to focus on strategic initiatives, fostering innovation and growth.
  
• Enhanced scalability: With automated processes in place, scaling up operations becomes a smoother journey. Businesses can adapt to increasing demands without proportionally increasing their resources.

As you navigate the power of IT automation, it’s essential to remember that collaboration is key. For an in-depth perspective, our article on IT automation dives into why merging process automation with team collaboration ensures sustainable success.

Embracing the future with automation

In today’s fast-paced digital landscape, leveraging the power of automation is more than a competitive advantage — it’s necessary to truly harness your potential growth. By integrating artificial intelligence and machine learning, businesses can handle vast volumes of unstructured data, transforming them into actionable insights. Process automation software not only simplifies these tasks but also supercharges them, providing solutions tailored to the complexities of the modern world.

Automation allows businesses to unify diverse processes, streamlining day-to-day operations and ensuring cohesion in a fragmented digital environment. As we look ahead, the potential for innovation and efficiency is boundless. With partners like Redwood, organizations are not just keeping pace with the future but leading the charge.

Ready to jumpstart your automation journey? Sign up for a demo and experience the Redwood difference today.

What does that mean?

We help companies automate their mission-critical business processes end-to-end across the entire organization and infrastructure, including all applications. 

When talking about automating IT and business processes, particularly repetitive and time-consuming tasks, two terms are commonly used: robotic process automation (RPA) and workload automation (WLA). Both make workflows more efficient and reduce errors. Both lower overhead costs. Both support scalability. And sometimes, both technologies can be used together, which is part of why they sometimes seem interchangeable. But they aren’t. 

If you’re like most people, you’re already drowning in the alphabet soup of tech jargon, so let’s simplify these two terms.

What is robotic process automation (RPA)?

RPA uses software robots or “bots” to automate time-consuming, repetitive, rules-based, well-defined tasks. Because humans traditionally performed these tasks, the bots were initially designed to mimic human interactions with digital systems, like data entry or invoice processing. In layperson’s terms, the bots did what they were told to do. And this can be helpful for both companies and employees. 

For companies, bots work 24/7 without human intervention and complete tasks much faster than people — meaning greater productivity at a lower cost. RPA also offers audit trails and increased compliance since all bot activities can be logged and monitored. 

For employees, bots cut down on their boring, mundane tasks, saving individuals’ time and allowing them to focus on the more strategic, value-add parts of their job. You know, the good stuff. The stuff only humans can do.

What is workload automation (WLA)?

WLA is designed to automate, coordinate, monitor and manage workloads from various tools and technologies within an organization’s IT infrastructure. In some ways, you can think about it like the ringleader of a circus. 

Unlike RPA, WLA systems are designed to handle complex and diverse workloads. They consist of a job scheduler that allows users to submit jobs, workloads or batch processes to servers that can execute those jobs. This is why WLA involves defining the dependencies, relationships and conditions between different tasks and scheduling them that optimizes resource utilization and ensures timely execution. Adding advanced technology like artificial intelligence and machine learning enables greater automation, such as intelligent task scheduling and anomaly detection. 

WLA solutions can integrate with various external systems and tools, making WLA ideal for enterprise automation at any organization using multiple business applications. 

The key differences between RPA and WLA

As explained, RPA and WLA solutions are not mutually exclusive and often work together in a company’s overall IT infrastructure. However, there are two key distinctions to keep in mind. 

Multi-tasker vs. singular focus

WLA focuses on automating the scheduling, execution and management of multiple, diverse workloads and managing dependencies between tasks to optimize the overall utilization of computing resources, including data transfers and integrating applications.

RPA tools focus on automating specific, repetitive, rules-based business processes, like data entry or invoicing, by mimicking human interactions with digital systems.

Infrastructure vs. desktop

WLA typically integrates into a complex infrastructure and interfaces with various diverse applications, databases and systems.

RPA tools primarily focus on specific applications or systems and interact with these applications at the user interface level, typically on individual desktops or servers.

Assessing your IT automation needs

When exploring automation tools, it’s crucial in your decision-making process to understand the use cases for your business and what your automation strategy is. Automation tools can make a significant impact through the orchestration of crucial workflows and by eliminating valuable people-power used on mundane tasks. There are time and money savings and increased productivity — which can drive business outcomes. 

An important consideration is selecting automation software that works with the current tech stack. Many businesses have gone through digital transformation and have many applications running. APIs used with workload automation software enable interactions of different applications, databases, cloud services and systems. You want to find a solution that works for your current apps, IT processes, back-end setup and, ultimately, will achieve your IT automation goals.

Choosing between RPA and WLA

If your business needs a simpler solution to save time on repetitive, labor-intensive tasks, then RPA is a great option. These solutions are usually fairly easy to implement and require little technical know-how — but this simplicity could also lead to disappointment if you expect an RPA to drive business outcomes. 

WLA solutions, on the other hand, allow a business to automate their mission-critical processes, with capabilities to manage and coordinate across applications, systems and data — which can significantly drive business efficiency and productivity. With a WLA solution like RunMyJobs by Redwood, your team has the freedom and flexibility to connect to unlimited servers, applications and environments, from modern SaaS solutions to existing legacy systems, from on-premises to cloud and hybrid environments.

Why RunMyJobs is the best WLA platform

RunMyJobs is a WLA tool that enables IT teams to schedule and run essential event-driven workloads, manage file transfers and data and orchestrate across applications and other automation tools like robotic process automation (RPA). The platform enables you to connect, control, compose and confidently run your most critical business processes, all backed by the advanced technology and support of Redwood Software. 

Redwood offers the leading workload automation platform and, unlike competitors, is 100% committed to automation. For 30 years, Redwood has helped companies automate their mission-critical business processes, successfully migrating 50 billion jobs across thousands of customers. 

And migration is done through Redwood’s finely honed three-step seamless process, preventing business disruptions. A team of experts supports Redwood customers throughout the migration process with a hands-on approach and specialized migration tooling built to transition from Control-M, Autosys, Automic and more.

Connect to any tech stack today and tomorrow

Future-proof your automation investment with the flexibility to connect to unlimited servers, applications and environments, no matter how complex your tech stack. With applications constantly launching, evolving and being replaced, it’s crucial to have a platform that allows for this. And suppose B2B data transfers are part of your businesses processes. In that case, you can benefit from JSCAPE by Redwood, which lets you carry out file transfers with trading partners and other organizations.

Easily compose automations

Build automations faster without a heavy lift from IT by using low-code, drag-and-drop visual process editor and an extensive library of integration, templates and wizards. Orchestrate workflows across the entire enterprise seamlessly with automations that minimize manual interventions and include intelligent exception handling. 

Have end-to-end control and visibility

Monitor every automated business process in real-time from a single pane of glass. See progress, conditional logic and dependencies of each individual process, allowing you to track every process execution detail at all times and know at a glance what needs attention. Get an early warning if critical deadlines are predicted to slip, allowing your team to address potential issues before they affect the business, and configure process SLAs and thresholds with custom escalations and alerts to keep the right people informed at the right time. 

Confidently automate processes

Reliably run your critical business processes and scale with less effort from your IT team. RunMyJobs runs millions of transactions daily with a guaranteed 99.95% uptime. Redwood customers enjoy best-in-class customer support with 24/7 response times, aggressive SLAs and industry-leading security. Redwood maintains strict compliance at all times, adhering to full encryption (TLS 1.3, SSL) and security policies, and is certified for ISO 27001, ISAE 3402 Type II, SSAE 18 SOC 1 Type 2, SOC2 Type 2 and Cloud Security Alliance STAR Level 1.

Ultimately, automating with RunMyJobs drives successful business outcomes, allows scalability and frees up human resources for more strategic initiatives. Get a free demo to learn more. 

Why migrating your automated jobs to another platform can be stressful

An operational WLA platform is responsible for automating several business-critical processes. That means any disruption to its operations will have an adverse impact not only on your business but also potentially on your trading partners and other organizations that are dependent on those processes. The longer the disruption, the greater the impact.

When you consolidate vendors, you need to move processes from one solution to another in what is known as a WLA migration. WLA migrations normally involve installations, jobs and data transfers, configurations, testing phases and so on, and they may entail a period of downtime. Some migration approaches require longer downtimes than others. If the migration isn’t well planned or properly executed or is just too complicated because of the target WLA platform, the process could be susceptible to errors and data loss, which could, in turn, cause further delays.

How to ensure a successful migration

Every organization that has considered implementing a WLA migration will tell you it can be concerning. The path can be long, and if things go sideways, it’s a massive headache. Due to the very nature of WLA platforms, i.e., being the main facilitator of every automated business process, the criticality of a WLA migration can’t be overemphasized. That said, there are a couple of things you can do to ensure a successful migration.

Avoiding data loss

Poorly planned WLA migrations can be susceptible to data loss, which can manifest in two areas:

1. Loss of job data: This can happen if the job/calendar/event isn’t properly re-implemented in the target WLA platform.
2. Loss of business data: This can happen if incompatibilities (e.g., dissimilar data formats or database schema) between the source and target WLA platforms aren’t resolved prior to migration. 

You can mitigate the risk of job data loss by instituting careful acceptance testing. Similarly, you can mitigate the risk of business data loss by planning cutovers and implementing dry runs. A good WLA vendor will help you build a timeline and plan for this. 

Minimizing service interruptions

As with other major migrations in IT, WLA migrations may entail service interruptions. Some service interruptions are planned, while others are not. Planned interruptions are part of the process, and are carried out in a controlled manner within a predefined schedule. 

An unplanned interruption, on the other hand, can happen due to unforeseen events. To minimize unplanned interruptions, you should carry out dry runs. This will allow you to discover and address potential issues before the cutover. 

Here, again, a WLA vendor with good migration support can help, sharing best practice advice from experience with hundreds of migrations and identifying processes and systems that will need the most focus. 

Eliminating productivity, revenue, opportunity and reputation loss

Data loss and service interruptions can bring down your overall productivity, which will, in turn, delay product and service delivery and potentially impact revenue. If that happens, you might miss sales opportunities or your customers may be disappointed. 

To eliminate potential productivity, revenue, opportunity and reputation loss, you need to be more deliberate in carrying out a WLA migration. Redwood’s three-step migration process for RunMyJobs can help you in that regard.

RunMyJobs’ 3-step migration

RunMyJobs’ migration strategy has successfully migrated hundreds of customers across the globe who are using a wide range of tools and systems. Migrations are carried out by an in-house team of experts — not outsourced to third parties lacking the experience and expertise required for these highly sensitive undertakings.

Redwood provides complete support throughout the migration process and beyond — contrary to some WLA platform vendors that convert a couple of jobs as examples and then leave it up to the customer to do the rest. Redwood works with you hand in hand every step of the way. 

A RunMyJobs migration consists of three simple steps that are designed to mitigate risks, drive efficiency and build on existing automations. 

Let’s talk about the steps.

Step 1: Configuration

Every RunMyJobs migration starts with a collaborative planning phase, where we assign a dedicated team of migration experts to work with your team. You will have an engagement manager, technical conversion manager and other support team members — each one highly seasoned with 15 years average experience. Your assigned team will conduct a thorough analysis of your existing systems, jobs, schedules, dependencies, configurations and other relevant components in order to identify areas that require special handling and incorporate risk-mitigating measures.

A non-production, low-level environment is created to safely import your existing workload automations without impacting current operations. We will continue to collaborate with your team on a phased cutover plan, typically prioritizing the least mission-critical processes, but can adopt other prioritization schemes (e.g., per department) that make the most sense for your organization. 

At the same time, your team will be provided access to relevant courses, certifications, videos and other resources through our on-demand Redwood University Training. This is an added layer of education and training in addition to the hands-on training by the Redwood team throughout your migration process. This is the beginning of your learning journey that will have you and your team confident and competent in the platform from day one, ensuring you’re getting the most out of your new WLA.

Step 2: Data import

Importation is easy using our proprietary Migration™ tooling, delivering an accurate migration from all major platforms, including:

• Autosys
• Control-M
• Dollar Universe
• Automic UC4
• Tivoli
• Tidal
• APM/APX
• Unicenter WLM/TNG
• Hitachi JP1
• SAP SM37
• ActiveBatch
• and many others

Key elements of your existing automations, such as job names, object definitions and job sequencing, will be carried over, creating familiarity for your team as you explore new features and functionality.

During this step, your team will gain hands-on experience in a sandbox test environment, building proficiency before launch. Our team will guide your team members in setting up job schedules, configuring jobs, as well as in defining security permissions, process dependencies and alerts. We’ll help your team identify process improvement areas and implement SLA management. 

Step 3: Acceptance and go-live

While in the low-level environment, your team will verify and validate whether all sequences are running as expected. If issues are encountered, we’ll work with your team to remediate those issues.

Once everything has been verified, your team will move up to a test environment where all processes will once again be validated. Only when all processes pass QA testing and we are all 100% sure you’re ready to cut over to production will we execute the final cutover.

The final cutover won’t be a single procedure. Rather, we’ll systematically and carefully move individual process automations into production. This is to ensure any issues are quickly detected and easily resolved. We’ll repeat each procedure for each process until all are live. Timing, which will be agreed upon upfront, can vary from one organization to another. Depending on the size and complexity of your WLA environment, these WLA migrations can take a few weeks to a few months.

Post-migration: Ongoing optimization and support

Our presence doesn’t stop when migration completes. As long as you are a customer of Redwood, we are by your side, helping you every step of the way, ready to answer any questions and provide support. Should you need assistance — whether to perform additional optimizations, resolve issues or simply answer questions — our 24/7 support team is available. This ongoing connection will help ensure your continued success way beyond the migration.

Redwood continues to innovate the platform to be easier to use, more flexible and with new additions driven by user input. We offer educational materials and webinars to keep you aware of anything new. 

Final words

Consolidating WLA solutions can be a complex and delicate undertaking. However, with the right migration process and a well-planned strategy, the risks of data loss, service interruptions and impact on productivity, revenue, opportunity or business reputation can be successfully mitigated. 

RunMyJobs’ three-step migration process is designed to help organizations consolidate their WLA solutions with minimal disruptions. By collaborating with your team, preparing and testing the new WLA platform, and monitoring progress throughout the cutover, RunMyJobs can help you achieve a successful migration that delivers improved service levels and eliminates manual work. Contact Redwood today to learn more about our WLA migration process and how it can benefit your organization.

Read more about consolidating your WLA solutions

The evolution of workload automation solutions

What we now know as workload automation software evolved from traditional job schedulers, but some current workload automation tools still have the same limits as legacy job scheduling software and batch processes. Traditional workload automation (WLA) strategies cannot cope with the increasingly complex workload types, volumes and enterprise applications of evolving business demands. As companies have implemented hybrid cloud, on-premises and multi-cloud environments, the limited capabilities and lack of agility of WLA solutions has left them incapable of keeping up.

However, some have advanced beyond early WLA functionality. The 2025 Gartner Critical Capabilities for Service Orchestration and Automation Platforms (SOAP) report states that the SOAP market is now “mature, with vendors differentiated by core capabilities, innovation, integration breadth, use-case support and market responsiveness.”

The future of automation is Service Orchestration and Automation Platforms (SOAPs)

The 2025 Gartner® Magic Quadrant™ for SOAPs report predicts that “by 2029, 90% of organizations currently delivering workload automation will be using service orchestration and automation platforms (SOAPs) to orchestrate workloads and data pipelines in hybrid environments across IT and business domains.”

SOAPs easily adapt to data pipelines, application architectures and cloud-native infrastructure. Add in that SOAPs seamlessly integrate with DevOps toolchains, and organizations have the operational efficiency, standardized processes and cost savings they need.

Here’s a look at how SOAPs will revolutionize process automation and digital transformation across a variety of use cases.

Event-driven automation

Speed up the progress of your workflows in your IT environment and have it respond to events in real time. Event-driven automation enables intelligent automation that triggers processes to begin once a specific action occurs. For example, an event could be when data or files are available to transfer. This reduces time-based dependencies and human intervention, freeing teams to focus on strategic work. Event-driven automation also makes real-time workflow monitoring and alerting more valuable as IT teams can track the health and performance of their automated processes.

Event-driven orchestration helps teams deliver accurate real-time results to business teams faster than ever so your organization can make better decisions.

End-to-end workflow orchestration

SOAPs enable IT operations teams to easily automate and streamline IT processes across on-premises, cloud and hybrid environments. Teams can enable process automation via APIs, open-source apps, web services and containers. This flexibility supports the fulfillment of service-level agreements (SLAs); teams can even receive notifications when SLAs are in danger of not being met. Other teams across the enterprise benefit, too. DevOps can leverage custom workflows and automation services/microservices with native SOA APIs and formats. And any business user who engages an ERP, CRM, finance tool or big data (Hadoop) pipeline will benefit from the streamlined data processing.

Smarter resource provisioning

As teams deploy more workloads to the cloud, automated provisioning with a SOAP can spin up servers on demand. With centralized control of cloud computing, resource provisioning and data, IT teams can automate provisioning to optimize operational efficiency and enable scalability.

Self-service for business and IT teams

Self-service options empower business users across the enterprise to run, monitor and request automated workflows through self-service native web forms and email processing. SOAPs offer consumable automation services, enabling users to publish any automated business process as interactive web service endpoints for user-friendly integration.

Better data management

SOAPs enable IT automation across disparate, cross-platform data sources. They also empower teams to orchestrate the data lifecycle through ingestion, transformation and storage pipelines as real-time streams, batched transactions or managed file transfer.

This makes it easier for teams to coordinate resource management applications, automate virtualization and run ETL testing and database tasks.

Single point of control for strong data security

Unlike traditional scheduling tools, SOAPs create a centralized platform for workflow automation, batch jobs and automating business applications. So not only can teams control processes and policies from one place, but they can also easily establish comprehensive audit trails for all processes and user activity. That means stronger, easier enforcement of business rules across the entire enterprise.

SaaS simplification

Reduce your infrastructure costs with a Software-as-a-Service (SaaS) automation solution. Solutions like RunMyJobs by Redwood provide fully-hosted infrastructure that eliminates complexity and the endless maintenance lifecycle that on-premises automation infrastructure demands.

SaaS SOAPs also offer advantages like connectors that don’t require additional licensing and straightforward pricing that scales with the number of jobs you run. 

As workload automation management evolves, so must businesses in order to maintain their competitive edge. Demo RunMyJobs to discover what’s possible with a flexible, easy-to-use workload automation platform delivered by Redwood, a 2025 Gartner® Magic Quadrant™ for SOAPs Leader.

Magic Quadrant is a trademark of Gartner, Inc. and/or its affiliates.

To be successful, today’s global companies have to create consistent, risk-proof operations. For IT teams, their role ensuring business-critical data is transferred and processes are completed is central to achieving this goal. By delivering a secure, reliable automation platform, they ensure that the business units can meet their objectives.

Challenges of SLA management

Monitoring SLAs is only the first step in creating best-in-class SLA management. RunMyJobs by Redwood takes it to the next level with its predictive SLA management module.

Consistently meeting SLAs — both internal and external — is no easy task. Business and IT processes are complex and always changing. Many of these processes have multiple interdependent steps and involve disparate systems. This makes it even more likely that they’ll break down or be delayed due to back-end issues. 

All these factors introduce complexities and make it time-consuming for your team. Missed SLAs hurt your organization’s revenue, and the downtime hours can never be recovered — putting you permanently behind schedule.

You also have financial or regulatory deadlines to consider. SLAs help your team focus on highly critical processes like these, where delays or failures aren’t just a minor inconvenience but have real impact to top or bottom line and/or customer experience.

Watch this short video to see how the RunMyJobs’ SLA module can transform your IT management.

Impact across industries

The need for SLA management spans industries, from retailers and manufacturers to financial services and insurance companies. 

For retailers and manufacturers, they rely on time-critical deadlines for processes, such as when trucks need to be loaded to restock stores or when the production plan for a factory floor must be ready before workers show up. 

When critical SLAs are missed, customers don’t get their products on time. Sales revenues can’t be booked and the effects roll out through the entire financial operation. 

In production, missed SLAs impact forecasts, inventory, production plans and more. This affects managers’ abilities to know what or how much to produce. Scheduling becomes difficult, leaving machines idle and workers underperforming or needing to be sent home. Without a clear picture of what’s needed, ordering the correct supplies in time becomes even more challenging. 

These supply chain issues roll out into the retail space, making inventory and resupply information unreliable or absent altogether. Retailers are left guessing about what they need. Ordering blindly means the necessary items may not be ordered in time, or they’re left with unwanted products.

All this supply chain instability leads to unhappy customers and businesses looking at profit losses. Organizations have to move dead stock at a loss to free up space in their stores. 

Financial services and insurance organizations rely on SLAs to ensure they have the business-critical data they need from customers to meet their own internal and external SLAs. Missing milestones stop the flow of data transfers, stalling or generating inaccurate information for all downstream processes. 

This incorrect information can be populated throughout the organization in reports and dashboards, impairing teams’ abilities to make the right decisions. Worst case, important audits and regulatory deadlines can be missed and fines may be levied. Financial close processes are halted, preventing accounting teams from reporting material company information and risking fines. Missing a deadline can negatively impact customer satisfaction or even lead to the termination of the business relationship.

How RunMyJobs by Redwood helps

RunMyJobs gives you a comprehensive, cloud-native automation platform to orchestrate all your IT and business processes in a centralized portal, making it easy to monitor workflows and proactively identify issues. 

The platform monitors every process across your organization, looking for issues and missed milestones. If a milestone isn’t completed, RunMyJobs sends out a notification and alerts your team that there’s a problem with the process. This empowers them to take immediate and corrective action, so processes stay on time and your business isn’t negatively impacted. 

With RunMyJobs, you can protect your service-level commitments, ensuring that all issues are resolved in a timely manner and that your internal and external SLA agreements are being met.

Want to see other ways RunMyJobs can transform your automation? Set up your own customized demo.

To understand IT operations, you first need to understand information technology. Information technology, commonly known as IT, is the use of systems, networks, storage and endpoint devices to initiate, send, receive, share, store and secure information in the form of electronic data. An organization’s IT infrastructure is made up of all of its IT resources and is typically managed by an IT Operations manager and/or a team within an IT department.

What does IT operations mean?

IT operations refers to the deployment, management and servicing of an organization’s IT infrastructure. It’s the central purpose of an organization’s IT department.

What is included in IT operations?

IT operations includes all tasks required to consistently keep IT functional and secure. These tasks may include managing devices, monitoring for issues, navigating automation, handling incidents, rolling out upgrades and deploying patches to IT applications, hardware, software and network infrastructure.

What does an IT operations manager do?

An IT operations manager is responsible for ensuring the functionality, security and stability of an organization’s IT infrastructure. They typically don’t choose or purchase tools, network infrastructure, apps or other parts of IT systems, but they play a critical role in IT departments and organizations as a whole. 

In a typical technology-dependent organization, the IT Operations Manager organizes and oversees how those tools and systems interact and is responsible for monitoring, maintenance and support. Support may include both the creation and deployment of upgrades plus patch deployment.

What is the goal of an IT Operations manager?

The goal is to ensure that the entire IT infrastructure is meeting business needs and keeping the business as secure as possible from a data perspective. This requires maintaining that not only are the systems themselves functioning and interacting appropriately, but also that users are engaging with those systems as they should be.

To support systems and users, an IT Operations manager creates best practices that indicate how tools and systems should be used, proper procedures across an endpoint lifecycle and strategies for onboarding, monitoring, troubleshooting and maintaining data security and incident remediation. This may include the creation and maintenance of an IT infrastructure library (ITIL).

What skills are helpful for an IT Operations manager?

An IT Operations manager must have leadership skills, technical skills, project management skills and problem-solving skills. Ideally, they will also have expertise with provisioning, service orchestration and service delivery, workflow management, infrastructure management, security management, IT service management (ITSM), software applications, cloud environments, metric evaluation, cybersecurity and disaster recovery, network security and — more than ever before — machine learning and artificial intelligence, otherwise known as artificial intelligence operations (AIOps).

Given the rapid evolution of technology and digital acceleration, it’s very helpful for an IT Operations manager to be an individual with boundless curiosity, an affinity for lifelong learning and a willingness to stay in tune with the leading edge of innovation. They also need to be able to stay level-headed in a crisis and react quickly and effectively to security incidents.

What does an IT Operations team do?

In midsized and larger businesses, an IT Operations manager oversees a team of IT Operations staff who assist in carrying out these responsibilities. This team is expected to follow best practices as established by the IT Operations manager. It’s also important that they stay on top of trends such as Internet of Things (IoT) devices, cloud migration and artificial intelligence.

What does IT service management look like in the digital era?

IT operations have significantly increased in relevance as digital transformation accelerates and as workers are increasingly decentralized. This decentralization means workers are moving beyond perimeters and local area networks, which increases the burden on IT to offer service delivery and endpoint management throughout the lifecycle for endpoints that are no longer shielded by location-based firewalls. Migration to cloud environments has also intensified workloads for IT teams, complicating network administration and enhancing demand for automation to alleviate manual tasks.

Embracing automation for repetitive, manual tasks can not only allow your IT Operations team to do significantly more with fewer human hours expended, but it can also reduce human error and give them time to focus on other, less repetitive tasks that need their attention and address business needs.

How do IT Operations teams support employees?

While working with systems is a significant portion of the workload for an IT Operations team, they are also tasked with direct support for employees. With job duties tied to technology across a wide range of departments, even employees who work in person are frequently in need of support from IT to enhance their digital experience.

Remote employees need an additional layer of support to ensure a secure, user-friendly experience. An IT Operations team is often responsible for help desk or service desk support to assist with employee onboarding, device onboarding and UX concerns, as well as ensuring successful connectivity and secure access. They’re also tasked with handling outages, helping to manage workflow, performing data backups and addressing any other issues that arise within the IT environment.

The current work landscape makes it more important than ever for people to be able to access the right information at the right time on the right device and the right network – and, critically, to keep out any person or device that isn’t supposed to have access. When you’re logging in from a beach as a digital nomad, you definitely want to be able to access your work platforms and applications, but you definitely don’t want the stranger on the beach chair next to you to be able to do it!

What about IT operations vs. DevOps?

IT operations is often conflated with development operations (DevOps), but they’re not quite the same thing. While IT operations takes a linear and holistic view of how the IT department runs, DevOps focuses on creating, deploying and improving services and applications. DevOps teams are often made up of rapid-fire coding experts whose goal is to develop, test and release software as quickly and efficiently as possible.

IT operations and DevOps often have disparate goals that may come into conflict. Since ITOps is looking at the entire operation, they tend to consider cross-functional and downstream implications of any new software deployment, patch or upgrade. In other words, they prioritize overall stability, security and seamless integrations.

On the other hand, DevOps is likely to prioritize speed and making the development lifecycle optimally short and efficient. They are trained to take a fast and flexible approach, pivoting when things don’t work in order to find the optimal solution within a limited timeframe.

How do conflicting goals affect IT operations and DevOps?

Conflicts arise when IT Operations slows DevOps down with red tape and logistical concerns, causing frustration and preventing teams with a DevOps focus from reaching their goals. Meanwhile, DevOps can sometimes fail to promptly communicate changes and/or take potential collateral impact into account, which causes frustration for teams with an IT operations focus and prevents them from reaching their goals.

Optimally, these seemingly disparate approaches complement each other, with shift-left development that identifies problems early and lets DevOps pivot with plenty of time to loop in other stakeholders and ensure that their work supports overall business needs and objectives.

How do you future-proof IT?

The most successful IT Operations department and IT Operations managers are those who are never complacent. As soon as you think you have technology figured out, it’s bound to change. For that reason, it can be intimidating to invest in IT infrastructure, service orchestration, cloud computing, application management and other advancements. What happens when something new comes along and suddenly the bright and shiny thing you were excited about is suddenly outdated? And what happens if you’re successful and grow out of your existing solutions?

This is a legitimate concern, not only for IT organizations that offer technology-wrapped services to clients, but also for organizations needing to attract and engage great employees who have high expectations for their digital user experience.

The solution: Future-proof your IT with a dynamic, scalable solution set that grows with you and evolves to keep pace with the leading edge of technology.

Why use a Service Orchestration and Automation Platform (SOAP)?

Automation is at the heart of future-proofing. Workload automation, in particular, has become essential for business, but basic workload automation is not sufficient to keep businesses relevant today, let alone in the future.

That’s why there’s such demand for advanced Service Orchestration and Automation Platforms (SOAPs). In the 2025 Gartner® Magic Quadrant™ for SOAPs report, Gartner defines the SOAPs market as “encompassing solutions that empower organizations to manage and automate their entire technology stack, including workloads, workflows, resource provisioning and data pipelines.”

SOAPs have five mandatory features:

1. Management of workloads in complex technology and deployment topologies
2. Management of workflows spanning the operating environment
3. Broad integration capabilities
4. Workflow design
5. Error handling and recovery

Common features include:

• Jobs-as-code development capabilities
• Event-driven automation
• Generative AI (GenAI) support
• Data pipeline support

SOAPs take workload automation to the next level via compatibility with cloud-based workloads. The ability to provision resources across a dynamic, hybrid digital infrastructure is a critical competitive advantage that will pay dividends well into the future.

By 2029, 90% of organizations currently delivering workload automation will be using service orchestration and automation platforms (SOAPs) to orchestrate workloads and data pipelines in hybrid environments across IT and business domains.

– 2025 Gartner Magic Quadrant™ for SOAPs report

How does Redwood Software help future-proof IT operations?

Named a Leader and positioned furthest in Completeness of Vision and highest for Ability to Execute in the 2025 Gartner Magic Quadrant™ for SOAPs report, Redwood believes its workload automation solutions provide all the SOAP features required for the modern enterprise, especially the option of workload automation as SaaS. Many of the tasks that fall on the IT Operations manager and IT Operations team take less time and effort with a SOAP solution in place. That’s a win-win for today and an invaluable investment for tomorrow.