Case Study: Automating Social Media Content Creation with ChatGPT 4.0

From checklists to automation: Why your close management is still manual

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A close management system is only as good as the automation it enables. Get real-time visibility into your tasks.

Digital point or close management tools have replaced spreadsheets for many accounting professionals and finance teams, but the work beneath those tools is still largely manual. Critical close tasks, from SAP job execution to journal entry posting, still depend on you to run the process, confirm it’s done and update its status afterward, which is time-consuming.

Tracking is helpful, but it doesn’t equal progress. A faster, more scalable close requires intelligent automation that executes the work — not just organizes it.

That’s exactly what Finance Automation by Redwood is built to deliver. As the only financial close management software designed to orchestrate a full, touchless record-to-report (R2R) process, Finance Automation connects directly with ERP systems like SAP to automate execution, streamline dependencies and surface exceptions in real time. Explore the different ways your close management process is still manual and how Redwood Software built a tool to help you reach full automation in your financial processes, whether it’s by helping you catch discrepancies ahead of time, update account balances and balance sheets or manage other financial data.

Manual work still runs the process

Most checklist tools only centralize task management. They don’t launch SAP close jobs, start reconciliation processes or automate end-to-end journal entries. Those tasks still happen offline or inside disconnected accounting software and rely on you to return to the checklist you created in an Excel template to mark them as complete.

If your tasks go unconfirmed, successor tasks are delayed. This slows the close cycle, forces follow-ups and leaves your team with an incomplete view of progress. During high-stakes accounting periods like your entity’s close, this lack of insight leads to bottlenecks, delays in financial reporting processes and costly rework.

Finance Automation automates this handoff. Tasks are closed by the system once work is executed, not by someone trying to remember to check a box. That means your close checklist reflects truth, not approximation.

Where most tools fall short

Digital checklists and shared dashboards offer visibility, but not execution. The underlying manual effort remains and requires finance and accounting teams to manually launch close activities, manage data entry and update task statuses, usually in tools that aren’t connected to your ERP.

Without system-driven updates, your metrics, KPIs and dashboards are lagging indicators instead of real-time performance signals. That leaves CFOs, controllers and global stakeholders guessing about the true close status and unable to confidently have fast, informed decision-making.

Finance Automation integrates with SAP to automate the close at its core by removing these dependencies entirely and allowing your teams to operate in real time with full control and traceability.

What intelligent close management looks like

Modern close execution doesn’t require more checklists; it requires fewer manual steps. Finance Automation executes close activities directly within your SAP environment, then updates the task status automatically.

This includes:

• Automatically escalating exceptions and delays across workflows
• Creating, validating, approving and posting journal entries, including accruals, provisions and reclassifications
• Initiating and tracking account reconciliation workflows based on a top-down, risk-based approach
• Managing intercompany eliminations and automatically posting transactions in the core ERP with the correct trading partners
• Running SAP close programs (e.g., depreciation, currency revaluation and allocations)

This task automation is captured with a complete audit trail that gives you the controls you need without slowing down execution. Finance Automation doesn’t just track work — it performs it.

Built to scale with complexity

Global finance operations rely on consistent, reliable execution across regions, systems and teams. Finance Automation was built specifically to support the orchestration of close activity across multiple entities and ERPs, while maintaining compliance and control.

The platform automatically adjusts task calendars, handles multi-entity dependencies and routes exceptions based on business logic. Whether your team is centralizing its financial close processes or managing decentralized business units, Finance Automation ensures that your close remains consistent, scalable and auditable. You’ll also gain:

• A reduction in manual tasks and repetitive manual processes
• Enterprise-ready support, including AI-powered exception detection and 99.95% uptime
• ERP-native execution across SAP ECC and S/4HANA
• Streamlined workflows that eliminate unnecessary coordination
• Support for dynamic tasks across business units, sub-ledgers and general ledgers

Why finance teams choose Redwood

Unlike checklist tools that depend on you to move the process forward, Finance Automation automates the actions behind the scenes. It enables finance teams to:

• Complete close tasks with fewer handoffs and greater speed
• Ensure system-driven validation of critical milestones
• Improve financial performance by accelerating close and reporting cycles
• Optimize timelines across regions, departments and systems
• Provide confidence to executives and auditors with a full, traceable audit trail

And with transparent, scalable pricing — with no per-user or per-task fees — this close management solution grows with your business needs, not against them.

Stop tracking. Start automating.

If your close checklist still depends on manual inputs, disconnected tools or human coordination, it’s not built to scale.

Finance Automation transforms your checklist into an execution layer. SAP tasks run when ready. Journal entries are prepared and posted automatically. Reconciliations are initiated and completed based on actual source data. And your team members focus on analysis versus manual work.With this solution, your month-end close process becomes faster, more consistent and confidently audit-ready every time. Your modern finance organization needs more than visibility. It needs results. Schedule a demo to see how Finance Automation can help your team close smarter, reduce risk and lead with real-time performance instead of after-the-fact reporting.

Beyond the dot: A strategist’s guide to the 2025 Gartner® Magic Quadrant™ for SOAP

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Each year, the Gartner Magic Quadrant™ for Service Orchestration and Automation Platforms (SOAPs) becomes a focal point of enterprise IT strategy. It’s widely shared, often cited and used as a north star for vendor selection and investment decisions. For good reason: it offers a concise, research-backed view of how the market is evolving and which vendors are leading that evolution. But its real value is unlocked only when viewed with strategic discipline.

In my view, the Magic Quadrant™ isn’t a scoreboard. It’s a strategic map that reflects thousands of product decisions, customer outcomes and architectural bets. Reading it strategically can help you make smarter investments in automation, extensibility and long-term innovation.

This year’s report reinforces something we’ve known for some time: not all Leaders are interchangeable. The quadrant tells you where vendors are positioned. Interpreting why they are there — and how that aligns with your own transformation priorities — is where the real insight lies.

Two axes, one strategy lens

The two dimensions Gartner evaluates — Ability to Execute and Completeness of Vision — each reveal a different layer of vendor maturity. Together, they create a framework for interpreting platform relevance not just in the present, but across the lifecycle of enterprise automation strategy.

Ability to Execute: A test of operational resilience

I believe high placement here reflects sustained operational performance under enterprise conditions.

Leaders on this axis tend to demonstrate:

• Scalable performance across hybrid and multi-cloud systems
• Deep integrations with complex applications like SAP, mainframe and proprietary tools
• Operational simplicity that reduces total cost of ownership, not just task count
• Clear expansion momentum across customer accounts

As Gartner notes, Leaders “execute strongly at scale and offer deep capabilities across a breadth of use cases.”

Execution strength is, essentially, a measure of enterprise trust. It answers the questions: Can this vendor reliably orchestrate critical business processes at scale? 

Completeness of Vision: A proxy for architectural longevity

A forward-leaning position on the Vision axis, in my opinion, speaks to how well a provider anticipates market direction and whether its platform investments are aligned with that trajectory.

Strong positioning here suggests:

• Future-ready architecture — cloud-native, API-first, event-driven by design
• Flexible, extensible capabilities that allow teams to adapt without vendor lock-in
• Alignment with ecosystem shifts, including AI, data fabric and digital ops strategies
• Strategic investment discipline, not reactive product expansion

Vision matters because today’s innovation is tomorrow’s technical debt. A platform that lacks architectural foresight may soon be outpaced by your organization’s needs.

Interpreting quadrant dynamics

In my experience, reading quadrant by quadrant makes it easier to identify tradeoffs and risks. Here’s the breakdown of each quadrant position according to Gartner methodology — and my interpretation of these positions.

Extract maximum value by connecting quadrant insights to tangible outcomes: reduced cycle time, improved SLA performance or lower integration overhead, for example. Ask vendors to demonstrate how their execution and vision translate into business impact, not just platform metrics. By tying evaluation to outcomes, you transform an analyst framework into an instrument for performance accountability.

SOAP Leaders today

Leaders who share space in the top right quadrant may take fundamentally different approaches to orchestration, extensibility and AI integration. I feel a strong Leader in 2025 is defined not only by breadth of capability but by the ability to remain competitive through:

• AI-driven operations
• Composable, event-driven architectures
• Autonomous remediation and continuous optimization 

The most important question isn’t “Who leads today?” but “Who is building for what’s next?”

Enduring leadership depends on both continuous architectural evolution and current market momentum.

How to use the Magic Quadrant™ in your vendor evaluation

Position within the Leaders quadrant should not be viewed as a stamp of parity. Vendors may share a quadrant, but not a philosophy, architecture or roadmap. 

The most strategic organizations treat the Magic Quadrant™ not just as validation, but as an input in a broader due diligence process. Map vendor placement to your operating model maturity to turn the quadrant from a static chart into a living framework for modernization. Over time, this mindset shifts the focus from comparing vendors to clarifying enterprise priorities.

Ask questions like:

• How does the platform align with our current tech stack, business model and operating environment?
• Will this vendor support our transformation roadmap — or limit it?
• What aspects of execution or vision earned the placement? Are those priorities aligned with our needs?
• Do case studies and references indicate expansion, innovation and long-term value?

Use the quadrant to inform your next questions, not to answer them outright. Read our guide to choosing the right SOAP solution for a more detailed analysis.

Strategy, not symmetry

We’re all searching for simplicity in a fast-changing world of automation tech, so it’s tempting to view proximity on the Magic Quadrant™ as a sign of equivalence. It’s not.

Go beyond the dot — use this year’s Magic Quadrant™ for SOAP as your starting point. Consider the rationale behind each placement. Investigate the executional proof points and architectural investments. And above all, choose partners who will not only deliver results in the current environment, but evolve with you as strategy, scale and complexity accelerate.

The quadrant gives you a map. The next move is yours. Download the full Gartner report to examine the landscape and learn why Redwood Software was named a Leader for the second consecutive year.

The new rules of enterprise orchestration platforms

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Every IT leader reaches the breaking point. Automation tools that once ran like clockwork start to wobble more than once in a while. There’s the typical story of a critical overnight job breaking and an alert showing up in your inbox 12 hours too late. Or that one employee who “knows how it all works” being out on leave, so no one can recover a failed process without them. 

The problem isn’t a lack of automation. You have scripts, schedules and tools. The problem is a lack of orchestration. And that gap is putting your business outcomes at risk.

Modern Service Orchestration and Automation Platforms (SOAPs) exist to solve this. When you look at the leaders in the latest Gartner® Magic Quadrant™ for SOAP, you’ll find they aren’t just job schedulers with a prettier UI. They connect disparate systems. Understand business events. Anticipate outcomes and manage the mind-numbing complexity of a hybrid cloud world without increasing your team’s cognitive load.

Here are the new rules defining the modern orchestration platform.

Rule #1: Automation that listens

Time-based schedulers are still everywhere, but they’re tuned to a world that doesn’t exist anymore. Business runs on events now, not clocks.

A supply chain workflow, for example, doesn’t need to run at 2 AM. It needs to run after the fulfillment file hits your cloud bucket and the payment clears and the inventory check validates.

Modern orchestration listens instead of waiting for time to pass. In other words, it sequences jobs based on the triggers that matter. Those might be external events, upstream outcomes or system states.

Rule #2: Integration is deeper than connectivity

Every platform says it “integrates.” But in my experience, that often means little more than a basic API handshake. Real orchestration is understanding what connection means in the context of a process.

For example, did the SAP job finish successfully, or did it hit a soft failure? Is the returned dataset complete? Does the next system require a transformation before ingesting it?

Modern orchestration is built to manage this kind of nuance. It adapts to API changes, handles schema validation, triggers follow-ups, reroutes based on conditions and preserves dependencies across platforms.

Rule #3: Failure is a scenario instead of an anomaly

Legacy tools treat failure like an edge case. If a job fails, they send a generic alert and might retry once or twice. But in distributed cloud architecture, failure is expected. It’s just a matter of how you recover.

Modern orchestration platforms treat failure paths with full auditability — and no panic. They track SLAs, anticipate delays, escalate intelligently and reroute automatically. It’s not mere incident avoidance.

Rule #4: Orchestration is no longer a solo role

You don’t build processes in a vacuum. DevOps is managing CI/CD, IT Ops is overseeing runtime, Finance is owning the close — everyone needs orchestration. But that doesn’t mean everyone should write scripts.

Modern SOAP platforms make orchestration collaborative. Devs work in YAML or code. IT manages by exception. Business users trigger workflows safely via self-service portals. Meanwhile, centralized controls keep everything governed.

Rule #5: Observability must trace outcomes, not just steps

Most platforms can tell you a job ran, and some can tell you it failed. Very few can tell you why, though. Not to mention which business outcome was affected and who needs to fix it.

Modern orchestration gives you end-to-end visibility, so you can trace a late report all the way back to the missing data file and see the ripple effect through every dependent system.

Legacy automation vs. modern orchestration

Rule #6: AI only works when automation does

Enterprises are rushing to embed AI into operations, but smart models are worthless without smart orchestration. A demand forecasting model can’t adjust inventory unless the right workflows gets triggered, and an LLM can’t summarize reports unless the right data lands in the right place. If your data pipelines are fragile or manual, your AI outputs will be dead on arrival.

Orchestration is that invisible engine behind AI-powered operations. It feeds the model, triggers the action, verifies the outcome. Without that layer, your AI is like a disconnected lab experiment.

Evaluation criteria have shifted

If you’ve read the 2025 Gartner Magic Quadrant™ for SOAP report, you’ll notice the bar has been raised. At Redwood Software, we believe the evolving contents of this report are a clear signal that the market has shifted. Hybrid control, event-driven design, persona flexibility, business outcome alignment … these are now table stakes.

If you’re evaluating your next orchestration solution, use the Magic Quadrant™ as a starting point. Download your complimentary copy of the report and ask whether your current platform — or the one you’re considering — is built for the world as it is today or the world as it was a decade ago.

The next evolution of enterprise automation: Introducing Redwood RangerAI

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For years, automation has quietly powered the world’s most critical business processes. But the landscape is changing fast. What used to be about speed and precision is now about adaptability and intelligence.

Redwood Software has spent over 30 years at the forefront of this industry and lived through every evolution of automation. We’ve heard your challenges loud and clear, and we understand that the critical question is no longer just, “Is our process automated?” but, “Is our automation strategy resilient and truly ready for the future?”

With Redwood RangerAI, we’re introducing the next step in that journey: a comprehensive suite of AI capabilities woven into the RunMyJobs by Redwood platform — and previews of more advancements coming soon. These enhancements extend across every stage of the automation lifecycle: design, execution, monitoring and optimization. 

Not only will Redwood’s automation fabric solutions continue to help you orchestrate complex operations across hybrid environments, but its new built-in AI will make every interaction smarter, faster and easier. Rather than just asking whether a process can run automatically, it’s time to begin asking if it can learn, predict and optimize output as it goes.

The friction in modern operations

Modern IT and operations teams face a kind of friction that wasn’t there before. Systems multiply and workloads expand, but expertise gets spread thin. Instead of driving innovation, a lot of teams are stuck reacting, using disconnected tools that don’t speak the same language.

The challenges are clear:

• Teams face growing complexity, and orchestrating thousands of interdependent jobs across clouds and containers makes even simple changes risky
• Expertise is scarce, with critical knowledge often locked in the minds of a handful of specialists
• Tool sprawl and fragmentation add even more friction, creating inefficiency and risk
• In a flood of “AI-washing,” it’s hard to tell what’s trustworthy and enterprise-ready

If you feel your organization has reached this tipping point, you don’t need more automation. You need smarter automation that can reason, assist and adapt without adding more noise.

Introducing Redwood RangerAI: Efficiency for every team

Redwood RangerAI is not another add-on or experimental AI feature. It’s a collection of AI-powered enhancements built directly into the RunMyJobs platform you already trust. It’s designed to simplify how you get work done, so you can learn and troubleshoot faster and scale automation confidently without having to manage yet another system.

These capabilities come to life through two complementary layers.

Effortless expertise

Redwood RangerAI turns experience into a shared asset. Instead of relying on tribal knowledge or lengthy manuals, users can ask questions in natural language and get immediate, accurate guidance.

• The Redwood RangerAI Learning Assistant, a new conversational AI tool on Redwood’s public documentation site, offers 24/7 access to technical insights 
• The Redwood RangerAI Support Assistant, embedded in Redwood’s Support portal, delivers instant answers to common issues, so you can resolve them on the spot and free up your experts to focus on your most complex challenges

Intelligent operations

Every automation team dreams of having more time to focus on meaningful work instead of maintenance. Redwood RangerAI makes that possible by acting as a partner who’s by your side, making you more productive and efficient.

• The Redwood RangerAI Product Assistant for RunMyJobs is built directly into the platform and provides conversational, context-aware guidance and one-click error analysis right where your work happens
• The Redwood RangerAI Automation Co-pilot for RunMyJobs assists with generating complex scripts and creating clear, concise documentation at the click of a button. With this co-pilot on your side, you’ll dramatically speed up the development lifecycle, reduce manual errors and ensure your automated workflows are well-understood and easy to maintain

Together, these help you go from a simple concept to a production-ready automation in less time, with higher quality and fewer interruptions.

Unlike generic, bolt-on AI tools, Redwood RangerAI is engineered for the precision and reliability required in enterprise automation. Leveraging Redwood’s deep automation expertise, this enhancement for RunMyJobs is fine-tuned for your specific needs.

Rather than feeding a general-purpose large language model (LLM) that returns broad information with every query, Redwood’s generative AI models are purpose-built. The results are highly consistent and cost-effective, with enhanced security thanks to minimal data being sent with each request. Through rigorous testing, Redwood delivers a scalable solution that’s immediately effective for your most critical problems.

The future is autonomous 

The roadmap for Redwood RangerAI takes you beyond predefined workflows to a model where you define a high-level business goal, and the system figures out the best way to achieve it.

RunMyJobs will orchestrate intelligent AI agents that enhance workflows across your entire enterprise. These agents will predict the steps to take, dynamically leverage AI tools and reason through complex dependencies to meet the desired outcome.

As part of this evolution, Redwood continues co-innovating with SAP, and one example of this is in the interaction between RunMyJobs and SAP Joule. Today, you can turn complex actions in RunMyJobs into simple, intelligent Joule skills. Users can query the status of a process, execute workflows and more using natural language, bridging the gap between business intent and IT execution.

Redwood’s commitment to practical, secure innovation

The launch of Redwood RangerAI this month marks the beginning of a new era in automation — one where you are no longer limited by complexity or skills gaps, where you can confidently scale automation across your business, enhance operational resilience, accelerate the pace of innovation and future-proof your IT strategy without costly disruptions.

Redwood’s approach to AI is fundamentally different: it’s truly integrated rather than bolted-on, grounded in decades of real-world automation data and built with enterprise-grade security, governance and observability to ensure transparency and trust.

It’s time to eliminate the operational friction that holds your business back. Move from simply managing tasks to truly achieving outcomes. Do more than imagine what’s possible — start your journey with a visionary partner. 

Request your personalized demo of RunMyJobs and Redwood RangerAI today.

What cloud modernization delivers — and why it’s the new standard

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Most people don’t think about their plumbing until something breaks. You turn on the tap, and water flows — until one day, it doesn’t. The system that once worked quietly in the background suddenly can’t keep up with the volume of water and pressure you’re demanding.

The same thing happens in IT. For years, everything flows just fine until a system upgrade, data surge or new integration exposes the limits of the old pipes — the legacy tools. Today’s digital infrastructure is more like a smart plumbing system. It’s a network of sensors, adaptive valves and monitoring systems working together in real time. Water no longer flows in a single direction; it’s redirected, filtered and optimized across multiple sources.

Similarly, modern enterprises operate across hybrid clouds, SaaS platforms and on-premises systems where data must move intelligently and securely. Modern IT requires orchestration and automation to maintain flow without friction. And while yesterday’s plumbing could be fixed with a wrench, newer systems demand intelligent control. Automation platforms need to adapt dynamically, connect every endpoint and keep operations running under pressure.

For decades, organizations have relied on finely tuned IT ecosystems that were engineered for predictability. As technologies and expectations accelerate, predictability alone isn’t enough. You now need systems that can absorb change without breaking.

That’s the essence of cloud modernization: extending the life and value of what you’ve built while preparing it to handle what comes next. Modernization isn’t a rejection of the past. It’s a recognition that the systems built to run yesterday’s operations now need to respond to tomorrow’s opportunities to stay relevant and competitive.

What cloud modernization really means

Modernization doesn’t mean tearing out the plumbing; it means redesigning the entire water system to serve a growing city. The goal is to keep the flow running, of course, but it’s also to build the capacity and flexibility to handle what’s ahead and uphold promises to citizens. 

True modernization goes beyond cloud migration. It’s about rethinking how your business and your people operate in the cloud era: using technology to reshape processes, unlock agility and scale intelligently. With a flexible, secure architecture, you can turn automation and analytics into a foundation for continuous improvement and innovation.

Modern cloud strategies are hybrid and multi-cloud by design. They can incorporate on-premises investments but connect them to more dynamic platforms that integrate AI, machine learning and intelligent orchestration.

For IT and business leaders, modernization is less a destination than a dynamic journey. It’s about continually reshaping how technology enables the business, balancing innovation with governance, agility with accountability and transformation with measurable outcomes. The most successful leaders evolve processes and people alongside technology.

Why companies are modernizing now

A few years ago, the conversation was about adopting cloud. Today, it’s more about operating effectively in it. The question enterprises ask has shifted from “Should we move?” to “How do we perform once we’re there?”

That urgency comes from business reality, not tech hype. Successful organizations aren’t modernizing just to keep up. They’re doing it to connect people, process and technology more intelligently. They want systems that work together. Teams that move faster. And data that tells them what’s next before the market does.

Across the C-suite, three modernization priorities consistently rise to the top:

1. Business agility and competitive differentiation

Modernization gives enterprises the ability to adapt faster — to launch new products, enter new markets or integrate new tools without waiting for infrastructure to catch up. When automation and AI are built into that foundation, innovation becomes continuous instead of disruptive.

2. Cost optimization and financial flexibility

The shift from capital-heavy to value-based models lets organizations match cost to business value and reinvest savings into innovation. Instead of just spending less, they can spend smarter and see measurable ROI in uptime, productivity and lower maintenance.

3. Security, compliance and risk reduction

With cloud, you can embed protection directly into architecture: zero-trust access, continuous patching, encryption and built-in compliance frameworks, for example. They aren’t an afterthought like they are in legacy systems.

These priorities translate directly into business impact. Modernized organizations can orchestrate across hybrid environments with less friction, so you can focus on innovation instead of maintenance. They’re also better positioned to attract and retain talent by providing modern tools and workflows. For the C-suite, this alignment of technology and workforce means IT finally operates as a growth engine.

Ultimately, those who are modernizing now see beyond infrastructure and understand that business processes drive modernization, not the other way around. Orchestrating end-to-end workflows that bridge finance, supply chain, HR and data operations gives you visibility and control. It’s less about where workloads run than how seamlessly business processes operate across the entire IT ecosystem.

From pressure to payoff

The factors above explain why modernization is urgent, but what’s the real return? The payoff is broad and cumulative. When you modernize effectively with cloud solutions, you’ll make your business stronger (not just make IT faster).

Most immediately, you’ll see operational resilience improve. Being able to respond to surges or disruptions without downtime is priceless. One global manufacturer, for example, modernized its automation environment with RunMyJobs by Redwood and improved the efficiency of its order-to-cash process by 600%, enabling next-day delivery and securing a government contract. This is proof that modernization opens up new business opportunities.

Cloud modernization turns upfront capital into predictable operating expenses, so no more paying for peak capacity that sits idle. Instead, with the right solution, you can align costs with value and get the wiggle room to reinvest in innovation.

It also improves decision-making speed, because you have a clearer view of performance, risks and opportunities. Visibility means you can act and react faster. In other words, you can compete in a world that doesn’t wait.

But the biggest return is cultural. A modernized technology foundation empowers your teams to innovate without hesitation. To achieve this, it’s critical to address the processes that underpin everything.

Workload automation: Groundwork for transformation

Modernization doesn’t start with what’s most visible but with what’s most connected: workload automation (WLA). It’s the engine that keeps jobs running across systems, and it’s step one in a larger modernization journey. If your automation is still on-prem and hard-coded, it’s probably doing its job, but could also be limiting your speed and agility.

To modernize automation today means more than replacing an old scheduler. Because your enterprise likely operates across hundreds of systems that all need to interact in real time, your goal should be to create an intelligent, future-ready automation fabric that unifies your hybrid cloud. That requires a platform that’s engineered for distributed, data-driven business.

RunMyJobs delivers exactly that: a flexible, purpose-built architecture for hybrid and multi-cloud orchestration. It’s event-driven, API-connected and secure by design. So, it can orchestrate everything from legacy workloads to intelligent, AI-driven operations with governance and control at every step.

When you modernize automation first, it helps you:

• Streamline and de-risk cloud ERP migrations
• Build modern data lakes and event pipelines
• Remove friction from cross-system dependencies
• Create a foundation for AI-ready operations

A better path to modernization

If you’re reading this, chances are your automation works. It’s not broken, but it isn’t delivering the same value that a cloud solution will. Cloud-first WLA is faster to implement, easier to maintain and more resilient in today’s hybrid enterprise environment. And it gives your team the one thing every business needs more of: time.

Let’s talk about what cloud modernization could look like for your environment. Connect with a WLA expert to see how RunMyJobs helps teams like yours scale and orchestrate core systems without the overhead.