AI-assisted application modernization in regulated industries

AI-assisted application modernization in regulated industries demands more than speed. It demands control. In financial services, healthcare and the public sector, legacy systems often support core operations, sensitive data and critical customer or citizen services. Those systems cannot be treated like a standard migration project or a simple code conversion exercise. When compliance, resilience and service continuity matter, modernization has to preserve the business logic the organization still depends on while creating a more secure, scalable and adaptable foundation for what comes next.

Publicis Sapient helps organizations modernize legacy applications on Google Cloud through a connected approach that combines human-assisted AI, Sapient Slingshot and the Cloud Acceleration Platform (CAP). Together, these capabilities help enterprises reduce modernization risk by moving from opaque legacy code to verified specifications, traceable delivery and secure cloud-native deployment.

Modernization without losing control

In regulated environments, the hardest part of modernization is rarely deciding to change. It is proving that change can happen without breaking the business. Legacy estates often contain decades of embedded rules, undocumented dependencies and operational behaviors that are not fully visible in existing documentation. Critical knowledge may live in aging codebases and with a shrinking number of specialists.

That is why Publicis Sapient approaches modernization as a business-led transformation, not just a technology refresh. The goal is not simply to move old workloads to a new environment. It is to understand what the system does today, identify what must be preserved, decide what should be improved and modernize in a way that protects live operations throughout the journey.

For regulated sectors, that difference matters. A migration may move a system. Modernization changes the system itself while preserving the controls, logic and continuity the business depends on.

Start with specifications, not assumptions

Traditional modernization approaches often jump too quickly from old code to new code. That creates risk, especially when business rules are buried deep in legacy applications. Publicis Sapient uses a specification-first approach to reduce that risk before major transformation begins.

Sapient Slingshot helps turn legacy code into verified, business-readable specifications. Instead of relying on assumptions, teams can recover the rules, dependencies and behaviors that define how an application works. Those specifications become a trusted bridge between the current state and the future state.

This approach helps regulated organizations in several important ways:
For organizations modernizing core banking platforms, claims systems, enrollment workflows or public service applications, that specification layer is not a nice-to-have. It is a control point.

Human-assisted AI built for explainability and rigor

AI can accelerate modernization, but in regulated industries, speed only matters if outcomes remain explainable, auditable and production-ready. Publicis Sapient’s model is human-assisted AI, not black-box automation.

With human-assisted AI, Publicis Sapient accelerates code transition, documentation and automated testing while keeping engineers, architects and business stakeholders in control. AI helps teams analyze legacy systems at scale, generate structured artifacts faster and improve productivity across the software development lifecycle. Human experts remain responsible for validating outputs, confirming business rules, shaping the target state and approving releases.

That balance is especially important where regulatory obligations, operational risk and customer trust are on the line. It enables organizations to move faster without giving up governance or accountability.

Sapient Slingshot strengthens this model by supporting legacy system understanding, code-to-specification conversion, documentation, testing, validation and governed delivery. Because every modernization step is connected back to a verified specification, teams gain stronger traceability and clearer evidence that the modernized system aligns to original intent where it needs to.

Traceability from code to test to release

In regulated modernization, “mostly correct” is not enough. Teams need confidence that transformed systems behave as intended across normal operations, exceptions, integrations and downstream dependencies.

Publicis Sapient uses AI-assisted testing to generate test assets faster, expand coverage and improve validation across the modernization lifecycle. By connecting specifications, transformed code and testing artifacts, Publicis Sapient helps organizations reduce regression risk and build greater trust into every release.

This traceability is a major advantage for organizations that must demonstrate control, support internal governance and maintain auditability as they modernize. Documentation is not reconstructed after the fact. It is generated as part of delivery. That creates a clearer chain from legacy behavior to modern implementation and production release.

Secure Google Cloud landing zones with security by design

Modern applications need the right foundation to run securely and scale reliably. Even strong application modernization programs can lose momentum if cloud environments are inconsistent, difficult to govern or misaligned to compliance needs.

That is where CAP plays a critical role. Publicis Sapient’s Cloud Acceleration Platform provides a governed cloud foundation for Google Cloud with pre-defined templates, integrated tooling, workload-specific landing zones and robust security controls. CAP is designed to reduce time to value while helping organizations establish repeatable, secure environments for migration, modernization and ongoing operations.

For regulated industries, CAP helps connect application modernization to infrastructure modernization in a more disciplined way. Publicis Sapient applies a security-by-design approach across the cloud journey, embedding security controls into workflows and applying Zero Trust principles such as least-privilege access and ongoing verification. The result is a cloud foundation that supports both speed and control.

This matters in sectors where modernization cannot create governance gaps. Secure landing zones, modular configurations and built-in controls help organizations move critical workloads into Google Cloud with greater consistency, visibility and confidence.

A connected journey for high-stakes modernization

Publicis Sapient brings these capabilities together in a connected modernization path:
This connected model helps organizations modernize without treating application, infrastructure, security and delivery as separate workstreams. Instead, it creates a more practical path from legacy estate to cloud-native operating model.

Built for sectors where continuity matters most

Publicis Sapient’s modernization approach is especially relevant where service continuity, compliance and trust cannot be compromised. In financial services, organizations need to update core systems while protecting controls and customer confidence. In healthcare, they need to connect and modernize clinical, claims and operational systems while protecting sensitive data. In the public sector, they need to modernize essential services without disrupting agency operations or citizen experiences.

Across these environments, modernization succeeds when risk is reduced early, documentation becomes stronger, business logic remains intact and cloud foundations are secure by design.

Modernize legacy systems with more confidence

Publicis Sapient helps regulated organizations move beyond lift-and-shift and beyond one-shot code conversion. By combining human-assisted AI, Sapient Slingshot and CAP on Google Cloud, Publicis Sapient creates a modernization model built for explainability, traceability, security and operational continuity.

The outcome is not just a newer technology stack. It is a more resilient, auditable and cloud-ready foundation for continuous improvement, future innovation and AI-driven growth.