AI-Driven Application Modernization for Regulated Industries

In regulated industries, application modernization is never just a technology upgrade. It is a trust exercise.

Healthcare organizations, banks, insurers and investment firms all face the same underlying problem: critical systems still run on aging architectures, hard-to-maintain codebases and delivery models designed for another era. At the same time, these enterprises must respond to rising customer expectations, tighter security demands and complex regulatory obligations. They need speed, but they cannot afford shortcuts. They need automation, but not at the expense of control.

That is why AI-driven modernization in regulated industries requires far more than a generic code assistant.

A powerful illustration comes from healthcare. Publicis Sapient helped a U.S. healthcare organization modernize a large portfolio of COBOL-based applications built on more than 10,000 green screens. Traditional methods had converted fewer than 10 percent of applications over several years. Using Sapient Slingshot, Publicis Sapient accelerated migration by 3x and reduced modernization costs by more than 50 percent, while moving the estate toward a cloud-native architecture. Crucially, AI was not left to operate on its own. Generative AI was used to produce functional specifications, behavior-driven development stories, optimized user interfaces and maintainable Java and React code, but every output was reviewed, refined and validated by engineers and business teams.

That lesson matters well beyond healthcare.

Why regulated enterprises need more than generic AI tools

Off-the-shelf code assistants can help developers write code faster. But regulated modernization demands much more than faster code generation. In healthcare and financial services alike, leaders need confidence that every artifact, every workflow and every change can stand up to scrutiny.

Generic tools often fall short because they are not built to:
In other words, they may increase activity, but they do not automatically increase trust.

For regulated enterprises, that gap is decisive. A healthcare organization must protect sensitive health information and preserve auditability around data access, consent and system behavior. A financial institution must manage strict expectations around auditability, risk controls, reporting and secure handling of sensitive financial and payment data. In both sectors, the challenge is not simply modernizing legacy systems. It is modernizing them in a way that remains secure, explainable and policy-aligned from requirements through deployment.

Healthcare and financial services: similar pressure, different operating realities

Healthcare and financial services share a modernization paradox. Both depend on mission-critical systems that may be decades old. Both face intense pressure to improve digital experiences and operational efficiency. Both operate under strict compliance obligations and face significant reputational and operational risk if systems fail.

But the character of that risk differs.

In healthcare, modernization programs must protect privacy, preserve core functionality and avoid exposing protected health information to external environments. Modernization often touches claims, administrative systems, clinical workflows or patient-facing experiences, where reliability and data handling controls are essential.

In financial services, modernization often centers on core banking, payments, trading, risk management and reporting environments. Here, institutions need strong traceability for change, continuous compliance checks and integration with internal monitoring and risk-management processes. The tolerance for ambiguity is low. Teams need to know not only what changed, but why, how and whether it aligned with policy.

That is why both sectors need modernization platforms that understand enterprise context, not just syntax.

Sapient Slingshot: modernization with speed and control

Sapient Slingshot is Publicis Sapient’s AI-powered software development and modernization platform, built to automate and accelerate complex software processes from prototyping and code generation to testing, maintenance and deployment. For regulated organizations, its value lies not only in speed, but in how that speed is governed.

Slingshot supports modernization in several ways that matter specifically in regulated environments:

1. Deployment flexibility for sensitive environments

Slingshot can be deployed on-premises or in hybrid environments, enabling organizations to keep sensitive data within their own infrastructure. That gives healthcare and financial services firms greater control over privacy, residency and internal security requirements.

2. Context-aware compliance and security controls

Rather than treating AI as a detached assistant, Slingshot applies company policies, regional requirements and regulatory expectations to generated outputs. Organizations can host and manage models themselves, apply their own access controls and use automated checks for compliance, bias and brand safety.

3. End-to-end traceability across the SDLC

Regulated modernization requires continuity from code to specification, from specification to design and from design to delivery. Slingshot maintains context across the lifecycle, reducing gaps between requirements, architecture, development, testing and deployment. That continuity improves traceability and helps organizations produce audit-ready documentation and transparent records of change.

4. Human-in-the-loop validation

Publicis Sapient’s approach is explicit: AI accelerates delivery, but humans remain in control. Engineers review and refine generated code, documentation and test assets. Business stakeholders validate functionality. This keeps quality, correctness and policy alignment intact while allowing teams to move faster.

5. Delivery transparency and measurable outcomes

Modernization leaders need visibility, not black boxes. Slingshot supports real-time workflow visibility, validation steps and measurable tracking across software delivery. That helps CIOs and CTOs manage risk while proving progress in business terms such as cycle time, quality, maintainability and cost.

From isolated migrations to a modernization factory

One of the biggest mistakes enterprises make is treating modernization as a sequence of isolated rescue missions. In reality, most regulated organizations need a repeatable way to modernize dozens or hundreds of systems.

Publicis Sapient uses Sapient Slingshot not as a point tool, but as part of a broader modernization operating model. That means combining AI-assisted engineering with integrated teams, agile ways of working, governance models and business-side validation. The goal is not only to accelerate one migration, but to create a scalable modernization factory that can continuously reduce technical debt across the portfolio.

This approach is what turns AI from experiment into enterprise capability.

It helped a healthcare organization move from COBOL gridlock to a faster, more predictable path. It also underpins financial services modernization, where Publicis Sapient has used AI-driven modernization to analyze complex COBOL estates, generate high-accuracy specifications, redesign target-state architectures and accelerate migration speed while reducing manual effort.

The outcome regulated leaders actually want

For regulated enterprises, modernization success is not defined by speed alone. It is defined by speed with confidence.

That means:
Publicis Sapient brings these elements together through Sapient Slingshot and its broader SPEED model, aligning strategy, engineering, product thinking, experience design and data-and-AI capabilities around measurable transformation.

The result is a modernization approach built for the realities of healthcare, financial services and other highly regulated industries: accelerate core system transformation, maintain policy alignment, protect sensitive environments and give leaders full visibility into how delivery happens.

Because in regulated industries, the future does not belong to enterprises that modernize fastest at any cost. It belongs to those that modernize responsibly, transparently and at scale.