AI-Assisted Modernization for Regulated Industries

In regulated industries, modernization is rarely blocked by ambition. It is blocked by risk. Health, energy, financial services and other compliance-heavy sectors often depend on core systems that still run essential operations but are increasingly hard to change. These platforms may be stable enough to keep the business running today, yet fragile enough to make every update feel like a threat to service continuity, compliance and customer trust.

That tension is now a leadership issue. Aging applications are harder to maintain. Legacy talent is harder to find. Documentation is often incomplete or missing altogether. And the pressure to deliver new capabilities faster keeps rising. Organizations cannot afford to leave critical systems untouched, but they also cannot afford uncontrolled rewrites, long migration cycles or quality failures.

Publicis Sapient helps organizations modernize critical systems with a human-in-control approach that increases speed without giving up control. Using Sapient Slingshot, our AI platform for automating and accelerating the software development lifecycle, we help clients turn opaque legacy environments into clear specifications, modern software, documentation and validated outputs that engineering and business teams can trust.

The pattern is familiar across regulated sectors

Whether the system runs claims administration, plant operations or other mission-critical processes, the underlying challenge tends to look the same.

The technology is old, but still essential. It may sit on mainframes, outdated stacks or heavily customized applications built decades ago. The people who understand it best may be retiring, unavailable or spread thin. Modern developers often struggle to work effectively in those environments. As a result, change becomes slow, expensive and unpredictable.

In regulated industries, the stakes are even higher. Leaders must preserve continuity, prove quality, manage security and maintain compliance while still reducing cost and accelerating delivery. That means modernization cannot be treated as a simple lift-and-shift or a speculative innovation exercise. It must be operationally grounded, transparent and measurable.

A human-in-control model for faster, safer change

Publicis Sapient uses AI to accelerate modernization, not to bypass engineering discipline. With Slingshot, AI helps generate the artifacts teams need to move faster: functional specifications, behavior-driven development stories, modern code, tests, data flows, documentation and other outputs that make legacy systems understandable and rebuildable.

Our engineers review, refine and validate AI-generated outputs at every step so quality, clarity and correctness stay intact. Business teams also confirm that modernized applications preserve the functionality that matters most. This combination of AI acceleration, engineering oversight and business validation gives leaders a more predictable path to modernization—one that reduces delivery risk while building trust in the result.

For regulated organizations, that matters because modernization success is not just about new code. It is about traceability, accountability and confidence.

From COBOL gridlock to cloud-native delivery

One U.S. healthcare organization had spent years trying to modernize a large portfolio of legacy business applications built on COBOL. Using traditional approaches, fewer than 10 percent of applications had been converted. The system included more than 10,000 COBOL green screens, many untouched for decades, running on mainframes that were expensive to maintain and difficult for modern developers to work with.

Publicis Sapient helped the organization break that gridlock with Slingshot. Generative AI was used to produce functional specs, behavior-driven development stories, optimized user interface screens and maintainable code in Java and React. That enabled cloud-native developers without COBOL experience to migrate the applications to a modern microservices architecture. Engineers then reviewed and validated every output, while business teams confirmed that the modernized applications retained core functionality and improved the user experience.

The result was not just a technical migration. It was a more reliable operating model for change. Migration moved three times faster, modernization costs fell by more than 50 percent and the organization gained a scalable, cloud-native foundation for continuous innovation. Delivered as a service with outcome-based pricing, the engagement also improved predictability and cost control.

Rescuing a critical legacy app in days, not months

RWE Generation Ltd faced a different but equally familiar modernization problem. Several aging applications running essential power plant operations were built on outdated technology and had become difficult to understand or support. One application, Tube Tracker, was more than two decades old, had no accessible source code, no documentation and no remaining experts available to maintain it. Yet it remained vital to plant operations.

Publicis Sapient used Slingshot to modernize the application in two days through a focused, five-step approach: recovering readable source code, rebuilding the application on a modern development environment, refactoring and simplifying the codebase, extracting business logic and generating usable documentation. AI accelerated the work throughout, while human oversight ensured quality and correctness.

The impact went beyond speed. What had been an opaque and risky black box became a fully documented, maintainable application that teams could understand, deploy and extend with confidence. RWE achieved development in days instead of weeks, realized meaningful gains in automated code generation and test efficiency, reduced lines of code through refactoring and addressed compliance, security and upgradeability concerns.

What leaders should take from these examples

These stories point to a broader executive lesson: the most effective modernization programs in regulated industries are not driven by automation alone. They are driven by a disciplined system of acceleration and oversight.

AI helps teams move through work that would otherwise take months of manual interpretation and reconstruction. It reveals business logic buried in legacy code, creates artifacts that improve traceability and helps modern engineers contribute sooner, even when they do not have deep experience in legacy languages or platforms.

Human oversight makes that acceleration usable in the real world. Engineers validate outputs. Business stakeholders confirm behavior. Delivery stays grounded in operational realities, not abstract prototypes. The result is faster modernization with stronger predictability, lower operational risk and better control over quality and compliance.

Modernize what matters most—without losing control

For leaders in healthcare, energy and other highly regulated sectors, the challenge is no longer deciding whether to modernize. It is finding a way to modernize critical systems without introducing new uncertainty.

Publicis Sapient brings together AI-powered acceleration, engineering rigor and outcome-focused delivery to help organizations modernize the systems they depend on most. With Sapient Slingshot, legacy applications can be translated into verified specifications, modernized into maintainable architectures and supported with the documentation, tests and human validation required to move forward confidently.

That means less time trapped by legacy constraints, more predictable delivery and a clearer path from aging core systems to modern, scalable platforms built for what comes next.