The global Robotic Process Automation (RPA) market is on a trajectory to reach over $30.85 billion by 2030. This phenomenal growth underscores automation’s role as a core engine of enterprise efficiency and a foundational driver of how modern business processes operate at scale. Yet, for many early-adopting organizations, the story is far less rosy. The initial excitement over automating a few quick-win processes has given way to the painful reality of managing a sprawling, complex, and increasingly expensive automation estate built on fragmented automation solutions and disconnected data flows.
If your automation strategy feels like it’s plateauing, if maintenance costs are rising faster than your ROI, and if your systems struggle to integrate with your modern cloud stack or deliver real-time value across business processes, you are not alone. You are likely paying the legacy tax: a hidden, perpetual surcharge levied by outdated platforms that are no longer fit for the era of intelligent automation combined with AI, machine learning and advanced automation solutions.
For IT and business leaders today, the central strategic question is not if you should automate more, but “Should we stay with our current RPA platform, or is a full migration to a modern, integrated solution the only way to achieve sustainable scale and real cost savings? And can it truly improve user experience, reduce human errors, and accelerate enterprise automation?”
This is more than a technical query; it’s a strategic business decision. The good news is that the solution to your scaling and cost challenges lies in a bold move toward re-platforming. This approach is proving far more cost-effective than remaining tied to legacy systems that limit business process automation, increase data entry dependency, and slow real-time automation.
Why legacy RPA platforms now limit intelligent automation
As organizations shift toward modern intelligent automation platforms, legacy RPA tools increasingly struggle to meet today’s expectations for business process automation, data flows, and real-time execution. Modern enterprises now depend on automation combined with AI and Natural Language Processing (NLP) to improve operational efficiency and reduce human errors, yet legacy systems were never designed for this level of complexity. This growing gap results in higher costs, fragile automations, and limited support for end-to-end business processes.
When first-generation RPA tools were adopted, they delivered significant value by tackling simple, repetitive, rule-based tasks (the "low-hanging fruit"). However, as business requirements have grown more sophisticated, these legacy systems have revealed fundamental limitations that actively choke scale and amplify costs.
The core challenges of legacy RPA platforms
As intelligent automation platforms evolve, many organizations find that legacy RPA tools can no longer support modern data flows or automation at scale. Business processes now rely on AI, machine learning, and NLP, while older systems were built for basic data entry and repetitive tasks. This growing gap now limits efficiency, user experience, and long-term automation performance.
Organizations are compelled to seek a path to modernization when their current platform is defined by these core challenges:
- Escalating Total Cost of Ownership (TCO): Legacy platforms often rely on rigid, per-bot licensing models that require dedicated, on-premises infrastructure. This results in unpredictable and unsustainable operational expenses. As your bot fleet grows, so does the cost of licenses, maintenance, virtual machines, and specialized IT support, creating a negative feedback loop that diminishes ROI.
- Integration gaps and fragility: Traditional RPA tools were built for back-office, on-premises environments. They struggle to communicate seamlessly with modern, cloud-native applications like Microsoft 365, Salesforce, and SAP through secure, reliable API-level connections. This forces developers into complex workarounds, leading to fragile bots that break easily when a screen changes or an application updates.
- Governance and security fragmentation: Managing bots across disparate platforms makes centralized governance nearly impossible. Applying consistent security and Data Loss Prevention (DLP) policies across a fragmented environment exposes the business to unnecessary compliance risk and prevents IT from having a single, comprehensive view of the entire automation estate.
- Lack of agility and democratization: Older platforms often have steep learning curves, requiring highly specialized, expensive professional developers to build and maintain every automation. This reliance on a small, centralized team creates development backlogs, slows down time-to-value, and prevents the business users (those closest to the process pain) from contributing to the automation journey.
This combination of rising costs and diminished agility creates a legacy tax that many organizations are now paying year after year. The only way to eliminate this tax is through a strategic, calculated migration.
A proven path to savings: success story of accelerated RPA migration
The biggest psychological barrier to migration is the perceived complexity of manually re-developing thousands of legacy bots. Traditional migrations often require lengthy, manual re-development of every bot, resulting in extended timelines and prohibitive costs: the very problems the migration is meant to solve.
To eliminate this bottleneck and ensure rapid time-to-value, specialized tools are essential.
This is why we created the Alithya Rapid Migration Tool, specifically designed to transform a complex re-platforming project into a fast, highly automated transition. By intelligently analyzing, translating, and re-platforming automation logic from legacy vendors (like UiPath) to a modern target, the tool drastically reduces the manual effort, risk, and timeline associated with large-scale migrations.
Using this data-driven, accelerated approach, a leading healthcare provider successfully re-platformed their entire UiPath automation estate. Alithya helped them transition 1,800 automation bots, representing 1.2 million activities, over to Microsoft Power Automate. The project achieved initial savings of $3.8 million by retiring expensive legacy licenses and establishing a more conducive governance and pricing model, all while gaining a stronger extension into intelligent AI capabilities.
This success story proves that migration is not just a theoretical fix; it is a rapid, financially effective solution that eliminates the legacy tax and unlocks true enterprise scale.
Why Microsoft Power Automate is gaining enterprise momentum
As the enterprise world increasingly recognizes the hidden costs and scalability limits of legacy systems (UiPath, Automation Anywhere, Blue Prism, etc.), a significant wave of migration is flowing toward a new generation of cloud-native automation platforms. At the forefront of this shift is Microsoft Power Automate.
Power Automate is rapidly becoming the enterprise standard because it was designed to directly address the four legacy pain points, achieving a drastically lower TCO through ecosystem leverage and integrated intelligence.
1. The ecosystem advantage: TCO reduction built-in
The most persuasive financial argument for Power Automate is its deep, native integration within the Microsoft ecosystem. For organizations already invested in Microsoft 365, Azure, Dynamics 365, or SharePoint, Power Automate is often included in existing enterprise agreements or offered at highly competitive rates compared to standalone legacy platforms.
This integration eliminates the need for expensive, complex, custom API development and costly, separate licensing for cloud connectors. Automations can be deployed using the same governance, security, and DLP policies already centralized within the Microsoft Power Platform, allowing IT teams to focus on strategy rather than infrastructure maintenance.
2. Democratization and speed of development
Power Automate is fundamentally a low-code/no-code platform. This democratizes automation, enabling the rise of the citizen developer: business users who can quickly automate their own departmental tasks using intuitive, drag-and-drop interfaces.
This empowerment dramatically reduces reliance on expensive, specialized pro-coders. One study noted that professional developers utilizing the integrated capabilities of Power Automate saw a 20% reduction in the time required to build workflows, leading to faster deployment and quicker ROI realization. When more people can build automations, the business can scale its automation efforts exponentially without adding a massive IT headcount.
3. Integrated intelligent automation
Modern problems like processing unstructured documents, analyzing sentiment from customer feedback, or making cognitive decisions in a workflow require more than simple screen scraping. They demand intelligent automation.
Legacy RPA platforms often require expensive, third-party add-ons or separate licenses for features like AI, machine learning, and optical character recognition. Power Automate, through its integration with AI Builder and Azure Cognitive Services, provides these capabilities natively. This means advanced features like intelligent document processing are built directly into the flow designer, reducing complexity and TCO while unlocking automation opportunities that were previously considered too complex or costly to pursue.
By combining RPA for desktop tasks with powerful, API-level cloud flows and native AI, Power Automate provides a unified platform that delivers resilience, intelligence, and unprecedented scale.
Download The Enterprise Guide to Evaluating RPA Platforms and Unlocking the ROI of Migration today for a full migration readiness checklist.
Unlock your intelligent automation migration ROI
The choice facing enterprise leadership is clear: continue to bear the rising operational cost and diminishing returns of a legacy RPA platform or make a strategic move to a modern solution built for the future of intelligent automation. The financial evidence for migration, powered by the low TCO and high integration of platforms like Microsoft Power Automate, is simply too compelling to ignore.
However, migration requires careful planning. Alithya helps organizations successfully navigate the complex transition to modern intelligent automation. Our technology experts are among the most knowledgeable in the industry, guiding clients through the entire RPA lifecycle. From developing the strategic roadmap and building the financial case for migration to selecting the technology that best fits your needs, Alithya is ready to be your trusted advisor every step of the way.
Don't let legacy costs dictate your future. Contact us today to leverage our proven expertise in RPA migration, intelligent automation strategy, and the proprietary Alithya Rapid Migration Tool. We can help you stop paying the legacy tax, unlock millions in savings, and achieve true, scalable enterprise automation.