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 RedwoodRangerAI 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 RedwoodRangerAI 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 RedwoodRangerAI 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.
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:
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.
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.
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:
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.
Not long ago, automation lived on-prem. Jobs were tightly coupled to physical servers, automation was often treated as a back-office utility and schedulers were sized to match static infrastructure. But IT environments don’t stand still anymore — and automation can’t either.
As teams shift toward hybrid and cloud technologies, workload automation (WLA) needs to evolve, too. Not because your current solution is broken, but because cloud-first tools are better equipped to support growth, change and resilience. The right strategy allows you to extend what you have on-premises while taking advantage of cloud-based solutions where they make sense.
Cloud-first doesn’t mean cloud-only
Some processes still belong on-prem, and many organizations will remain hybrid or multi-cloud for the long haul. That’s normal. Automation has to meet your business where it is, not force a complete replatforming.
Cloud-first means choosing SaaS-native automation tools when expanding capabilities or modernizing parts of your environment. It gives your teams the flexibility to automate across ERP, data platforms, DevOps and more, so you can integrate quickly and reduce manual maintenance.
The goal isn’t to rip and replace. It’s to simplify what’s complex and make your WLA platform future-ready.
Why workload automation works better in the cloud
Legacy systems were built for a different era. They do the job, but they require tuning, patching and on-prem support that doesn’t scale easily. As automation becomes more central to digital operations, these limits start to matter.
Cloud-first WLA removes the infrastructure burden and adapts to shifting demand without manual overhead.
Benefit
Value provided
Built-in elasticity 🤸
Adds dynamic, on-demand scaling to manage variable workloads automatically, reducing the need for manual resource forecasting and provisioning
Faster time-to-value 🚀
Provides immediate access to the latest features and innovations through continuous, automatic updates, eliminating planned upgrade cycles
Centralized control across hybrid systems 🎯
Extends your existing central control to seamlessly manage and monitor workflows across both on-premises and cloud-native environments from a single interface
Always-on reliability 🔒
Ensures business continuity with built-in, automated failover and disaster recovery, freeing your team to focus on strategic initiatives
Pay-as-you-grow economics 💸
Optimizes resource spending by providing a flexible, value-based model that eliminates the need for risky upfront capital investment
Easier integration 🔗
Accelerates the adoption of new technologies through a continuously expanding library of pre-built connectors, reducing development time and custom scripting
Support for modern use cases 💡
Unlocks new automation possibilities, such as event-driven workflows and real-time data pipelines, resulting in improved adaptability and streamlined business outcomes
Automation goals haven’t changed — the delivery model has
The reason to automate hasn’t changed: reduce errors, speed up processes and free up people for higher-value work. What’s changed is how quickly your automation platform needs to adapt to business needs.
A cloud-first approach helps you respond to business demands without waiting on infrastructure. New processes can be built and deployed faster. New systems can be connected in less time. And your teams can focus on building value, not maintaining tools.
You don’t lose control. You gain capacity.
It also reduces technical debt. Instead of holding on to legacy schedulers that require custom scripts and tribal knowledge, you get a system that evolves with you. One that enables better governance, compliance and transparency across IT and business operations.
Respecting the value of existing systems
If you’re already using a WLA solution on-prem, you’ve laid a strong foundation. You know the value of automation, the importance of visibility and the impact of reliable scheduling.
But if you’re finding it harder to scale, integrate or support new initiatives, it may be time to extend your automation with a cloud-first option. That means giving your team a platform that’s built for what’s next.
Many teams continue to use their on-prem automation alongside cloud-first orchestration. It’s not all or nothing. The benefit is having the freedom to move at your own pace, modernizing high-impact workflows first and expanding as needed.
RunMyJobs by Redwood: Cloud-native automation that grows with you
RunMyJobs is Redwood Software’s SaaS-native WLA platform. It’s built for hybrid and cloud environments from the start and used by enterprises worldwide to orchestrate complex workflows across SAP, DevOps, data platforms, finance and more.
What makes it different:
True cloud-native: No agents, no patching, no servers to manage
Built-in support for SAP: S/4HANA, RISE with SAP, IDoc monitoring and more
Integration-ready: Prebuilt connectors for cloud services, ERP, file transfer, containers and CI/CD pipelines
Always-on performance: High availability with global redundancy and 24/7 support
Transparent pricing: Usage-based licensing with no agent or job count restrictions
RunMyJobs is ideal for teams that want to reduce manual scheduling, eliminate job failures and improve SLA performance. It brings together business-critical workloads in one view, so you can monitor, control and scale without complexity.
Many Redwood customers use RunMyJobs alongside their existing automation tools. It allows them to modernize at their own pace, starting with the processes that benefit most from agility, visibility and scale.
Thinking about your next move?
If automation is a critical part of your business, your platform shouldn’t be a limiting factor. Cloud-first WLA gives you a way to move faster without taking on more infrastructure, risk or overhead. Use it to extend your automation strategy — not upend it.
Read more about Redwood’s unique approach to WLA migration and how our teams prepare you for a smooth transition from legacy to cloud.
Workload automation (WLA) has always been a backbone technology. It runs behind the scenes, connecting ERP, data pipelines, DevOps workflows and business processes, keeping jobs on track and business outcomes on schedule. But many organizations are still running legacy schedulers or WLA tools that have served them well but weren’t built with today’s scale, hybrid IT environments or cloud workloads in mind.
If your IT automation is running well but you’re finding it harder to scale or innovate, it may be the right moment to consider a jump in WLA technology. And modernization doesn’t have to mean all cloud, all at once; many teams keep key processes on-premises while adopting cloud-based orchestration where it adds value.
Here are nine signs that your organization is ready for a change and how doing so will prepare you for scalability and long-term resilience.
✅ Your team is ready to move beyond daily upkeep
On-premises WLA solutions can fall multiple versions behind because upgrades compete with other IT priorities. Adding hardware to expand capacity feels clunky, and even routine maintenance can put critical workflows at risk. When your IT team is spending more energy on patching and firefighting than planning new initiatives, it’s often a signal you’ve outgrown the old model. Upgrading to a SaaS-based platform is less about replacing what you have and more about celebrating that your automation maturity has reached a point where you’re ready for the next level.
✅ Manual fixes are crowding out higher-value work
If your operators are babysitting workflows or writing scripts just to keep processes running, you’re not realizing the full ROI of automation. Time is money, and when you spend hours on workarounds instead of optimizing processes, your total cost of ownership (TCO) rises and strategic value shrinks.
Modern WLA software reduces that manual intervention with event-based triggers, self-service options and automated recovery. Freeing your people from constant fixes means more time spent improving processes and less time chasing failures.
✅ Automation needs to follow workloads into the cloud
Most enterprises are already moving workloads to the cloud, whether it’s data analytics, ERP modules or customer-facing apps. If your WLA doesn’t connect to cloud platforms natively, you’re forced into brittle workarounds that waste time and limit scalability.
Modernization means orchestrating flawlessly across on-prem, hybrid and multi-cloud environments — AWS, Azure, Google Cloud and SaaS applications — with equal reliability. Modern WLA adapts dynamically to wherever the workload runs.
✅ Visibility gaps are slowing decisions
When leaders don’t have a real-time view of workflows, they’re forced to make decisions based on lagging reports or gut instinct. Outdated WLA tools often lack centralized dashboards or predictive analytics. That leaves IT blind to bottlenecks, failed jobs or SLA risks until it’s too late.
Modern platforms deliver observability with centralized dashboards, SLA projections and proactive alerts so you can fix issues before they disrupt the business.
✅ Scaling feels harder than it should
Every business faces periods where job volumes soar: end-of-month closings, holiday traffic, product launches. Traditional WLA models can hit limits under pressure, leading to delays and downtime. Some organizations work around this by adding servers and hardware that they only need a few times a year.
A modern SaaS platforms scales with your business, growing and shrinking with demand, so you only pay for the value you get. That means no scrambling or overbuying.
✅ Maintenance is draining resources
Traditional job scheduling tools can come with hidden costs in the form of specialized staff or consultants and downtime during upgrades. None of that creates business value.
In contrast, a SaaS-based automation platform rolls out updates automatically to minimize downtime and ensure you don’t have to rely on niche expertise. You get true financial headroom, even beyond IT operations.
✅ Security expectations have surpassed your tools
When automation runs financials, healthcare data, customer transactions and other key processes that handle sensitive data, security isn’t optional. Many systems still in use struggle to keep pace with modern cybersecurity expectations.
Today’s automation platforms include role-based access control (RBAC), encryption, continuous patching and audit-ready trails by default. So instead of hoping your system is secure, you can prove it.
✅ AI isn’t part of the equation
If your platform is stuck in reactive mode, you’re missing opportunities to get ahead of issues and continuously improve. Automation isn’t static anymore — it’s intelligent. AI isn’t hype in this space. It’s becoming the standard for enterprises that want reliable, efficient and proactive automation.
The most advanced WLA platforms now layer in AI and machine learning. These capabilities don’t just predict job failures but also recommend optimizations and analyze patterns across thousands of runs. It’s the difference between automation that simply works and automation that amplifies ROI by proactively driving efficiency.
✅ Users want more control without more risk
When automation tools are too complex, IT becomes the bottleneck. Business users resort to shadow IT, running critical business processes outside governance because the official system is too hard to use.
Modern WLA turns this on its head with intuitive interfaces, drag-and-drop workflow builders and delegated self-service. When users are empowered, automation becomes a force multiplier instead of a source of friction.
Why readiness matters now — no matter your use case
Every organization is under pressure to do more with less. Outdated workload automation slows you down, increases risk and adds hidden costs. Modernization isn’t about chasing a trend; it’s about putting your business in a position to scale, innovate and compete.
A modern SaaS WLA solution gives you:
Scalability without infrastructure sprawl
Deep integrations not only with SAP and other enterprise systems, but also for hybrid and multi-cloud workloads
Observability for centralized visibility and predictive monitoring
AI-driven optimization and self-service
Built-in security and control
Lower cost of ownership and fewer upgrade headaches
If these signs sound familiar, it may be because your business success has outgrown traditional approaches. That’s a good thing — it means you’re ready to modernize. Acting now lets you turn that momentum into a more scalable, flexible and resilient automation strategy, just as many leading enterprises are already doing.
With RunMyJobs by Redwood, we offer the only SaaS-native WLA platform purpose-built for hybrid IT, designed to support SAP and business-critical processes at scale. Because we’ve led in both on-prem and SaaS, we’re uniquely positioned to guide your transition and help you modernize at your own pace.
Talk with a Redwood expert to see how a modern workload automation solution can reduce costs, boost operational efficiency and support your cloud journey.
More than half of the typical month-end close depends on journal entries. But for most finance and accounting teams, “automation” still means entering numbers into Excel templates, attaching supporting documents and emailing approvals because manual work is hidden behind a polished user interface.
It doesn’t have to be this way though. Finance Automation by Redwood eliminates manual journal entries entirely. It integrates with your ERP systems, orchestrates every step in the journal entry process and removes human intervention from data sourcing, transformation, validation and posting.
For example, Forvia is a global automotive supplier operating in more than 40 countries, and this organization uses the platform to automate over 80% of its monthly journal entries. In turn, Forvia reduces risk, saves time and accelerates its financial close. But that level of control and consistency is only possible when automation starts at the source, not after the work is already done.
The root issue: Manual work is still baked into journal entries
Some financial close or point solutions focus on the end result, like validating journal entries, routing for approval and posting to the ERP, but overlook the labor-intensive steps that come before it. Accounting and finance teams still run reports, collect feedback and shape financial data in spreadsheets, even when using journal entry automation software. That’s not automation. It’s reformatting manual labor.
Manual work repackaged in spreadsheets
Even with modern tools, manual journal entries persist. Finance and accounting teams use prefilled templates to enter data. They send approval requests through email. They track accruals, allocations and intercompany transactions in separate spreadsheets. Each task happens outside the main system. This slows down the financial reporting and accounting processes and makes it harder to catch mistakes. The workflow lacks speed, accuracy and real-time oversight.
Finance Automation eliminates these handoffs. It sources data directly from ERP, procurement and other systems, applies rules automatically and generates audit-ready journal entries without copy-and-paste work or manual review.
Where automation falls short
Take the open purchase order (PO) accrual process, for example. Most financial close or point solutions automate the final three steps:
Review and group
Create journal entries
Post journal entries
But the first four steps — the ones that are the most time-consuming — remain manual:
Run the open PO report
Group by requester
Email each requester
Capture feedback
These tasks demand manual data entry, offline collaboration and ad hoc spreadsheets. That’s where human error, bottlenecks and discrepancies build up, and it’s also where Finance Automation applies full orchestration, not just automation.
Why fragmented tools don’t solve the problem
Those financial close and point solutions tend to automate in silos by focusing on a few repetitive tasks but missing the full picture. This creates more work, not less.
Manual data entry: A hidden time drain
Even with accounting software, teams copy data from multiple systems into templates. Each adjustment introduces risk and adds hours to the close.
Siloed tools: Islands of automation
Bolt-on or partial solutions don’t connect across systems. Teams must step in and do the work by hand. They reconcile large volumes of financial records one by one. They also handle approval steps across disconnected systems. This makes the process slow and disorganized. Each manual task increases the chance of a delay or mistake.
Limited control: No end-to-end visibility
Teams can’t see the entire workflow from start to finish. They also can’t track postings as they happen, nor can they confirm that policies are followed. Real-time dashboards are not possible without a full system connection. There’s no system-wide view of exceptions, delays or statuses.
The better approach: True automation from start to finish
Finance Automation is an end-to-end finance automation solution built for the full record-to-report (R2R) cycle. It removes manual steps entirely and connects people, data and systems into one orchestrated flow.
What gets automated:
Data extraction from ERP, procurement and CRM systems
Calculations and transformation of raw inputs into structured journal entries
Validation and approvals through system-managed workflows instead of emails
Posting of journal entries in real time to the general ledger
Archiving and audit trails for compliance and transparency
Whether it’s recurring automatic journal entries, intercompany adjustments or high-volume allocations, every journal entry follows a repeatable, controlled process with no offline handoffs or shadow systems.
What finance and account teams gain in return
By eliminating the burden of manual intervention, teams can redirect their time toward financial planning, forecasting and insight-driven decision-making.
With Finance Automation, your organization can save valuable time by:
Automating journal entries across entities, business units and functions
Cutting days off the financial close
Increasing speed and consistency with real-time processing and visibility
Reducing risk with built-in internal controls and validation
Replacing email loops with system-driven approval workflows
True automation doesn’t start with a spreadsheet
If your team is still relying on manual processes, like journal entry creation and approval routing, you’re not truly automating. You’re just working harder to do the same work.
Finance Automation transforms that model. It streamlines and optimizes the entire process, enforces consistency and removes the unseen burden behind the scenes.
AI’s not new. It’s just urgent now. Every roadmap, every board update — it’s in there. Leadership wants results, yesterday. So teams scramble, launching an AI assistant here, a predictive model there. Tack on a chatbot. Maybe a workflow or two. But the minute someone asks, “Is this actually working?” it all gets quiet.
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 2025,” 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:
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:
Are your business processes clearly mapped and automated?
Can your systems handle complex tasks — or just repetitive ones?
Are your AI models getting data they can actually trust?
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.
