Modernizing healthcare platforms without putting the business at risk

Claims, benefits, enrollment and other core health platforms are not ordinary legacy systems. They sit at the center of member experience, operational continuity and regulatory accountability. They connect to downstream systems, carry years of embedded business logic and often support processes that cannot tolerate disruption.

Publicis Sapient helps healthcare organizations modernize legacy systems with an AI-assisted, human-governed model designed for environments where uptime, data protection, auditability and integration stability matter as much as speed. Rather than treating modernization as a one-time rewrite, we approach it as a controlled transformation that helps organizations reduce technical debt, preserve critical logic and build a stronger foundation for future digital and AI-enabled experiences.

Why healthcare systems are different

In healthcare, the risk is rarely just old technology. The real challenge is what those systems contain and what depends on them.

Claims engines, benefits administration platforms, enrollment systems and related operational applications often carry decades of rules, exceptions and dependencies. Documentation may be incomplete. Workflows may span mainframes, APIs, batch feeds and manual processes. Knowledge of how the system truly works often lives with a shrinking pool of legacy specialists.

A standard rewrite approach can introduce too much uncertainty. If hidden rules are missed, downstream integrations break, or testing coverage falls short, the result is not just delay. It can affect service continuity, operational trust and the organization’s ability to change safely.

For healthcare leaders, modernization must do more than replace old code. It must protect the business while creating the flexibility to move faster in the future.

Move beyond “rewrite and hope”

Publicis Sapient’s modernization model is built for business-critical systems that cannot afford to get the details wrong. We combine Sapient Slingshot, human-assisted AI and secure cloud foundations to create a path from legacy discovery to modern delivery with more speed, traceability and control.

This approach starts by making hidden system behavior visible before major changes begin. Instead of jumping straight from old code to new code, we recover the logic, dependencies and behaviors that define how the system works today. That becomes the foundation for safer modernization decisions.

Recover the business rules your platform still depends on

Many healthcare modernization programs slow down because the organization cannot fully see what must be preserved. Critical rules may be buried in COBOL, legacy APIs, batch jobs or custom logic added over many years. In some cases, the people who understand those details best are nearing retirement or are already hard to replace.

Sapient Slingshot helps Publicis Sapient recover hidden business logic from legacy applications and turn it into verified specifications. This specification-first model creates a trusted bridge between current-state code and future-state design.

For healthcare organizations, that matters because it helps reduce dependence on tribal knowledge and shrinking SME pools. Product, architecture and engineering teams can work from shared, reviewable artifacts instead of assumptions. Business stakeholders gain clearer visibility into what must stay the same, what can be simplified and what should evolve.

Expand testing coverage where failure is not an option

In healthcare, “mostly correct” is not good enough. Core platforms must behave reliably across standard flows, exception handling, integrations and downstream dependencies.

Publicis Sapient uses human-assisted AI to accelerate automated testing and quality validation across the modernization lifecycle. AI-assisted testing helps teams generate test assets faster, broaden coverage and validate that transformed systems remain aligned to original business behavior where required.

Just as important, human experts remain in control. Engineers, architects and business stakeholders review outputs, confirm critical decisions and certify readiness before production release. This is not black-box automation. It is AI used to increase rigor, speed and confidence in environments where accuracy and explainability matter.

By connecting specifications, transformed code and test artifacts, we help healthcare organizations reduce regression risk and strengthen trust in every release.

Modernize safely in connected, high-stakes environments

Healthcare platforms do not operate in isolation. Claims, benefits and enrollment systems typically connect to a wider estate of member services, partner ecosystems, operational workflows and data environments. Modernization therefore has to account for dependencies, interfaces and continuity from the start.

Publicis Sapient approaches modernization as a governed journey, not a one-shot conversion project. We assess legacy applications and dependencies, build traceable specifications, validate behavior and modernize in controlled stages. Where needed, old and new environments can coexist while capabilities are modernized incrementally by domain, workload or function.

This progressive model helps organizations modernize without betting everything on a single cutover. It also creates a more practical path for environments where business continuity is essential and where every change must be understood in context.

Secure cloud foundations for healthcare modernization

Modern applications need more than transformed code. They need secure, scalable landing environments with the right controls built in.

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 helps organizations establish repeatable, secure environments for migration, modernization and ongoing operations.

Combined with Publicis Sapient’s security-by-design approach, CAP supports modernization in risk-sensitive environments by embedding controls into workflows and applying principles such as least-privilege access and ongoing verification. That helps healthcare organizations move faster without sacrificing governance.

Modernization as a business advantage, not just technical cleanup

Reducing technical debt matters. But in healthcare, modernization should do more than retire aging platforms.

Done well, it can help organizations improve agility, reduce reliance on fragile legacy skills, strengthen release confidence and prepare core systems for what comes next. Cleaner architectures, better documentation, stronger traceability and more scalable delivery practices make it easier to launch new experiences, connect data more effectively and support future AI initiatives with greater confidence.

That is the bigger opportunity. Modernization is how healthcare organizations create the operating model for continuous improvement.

Proven acceleration for critical health platforms

Publicis Sapient has applied this AI-assisted modernization approach in complex enterprise environments where continuity, quality and control are essential. In healthcare-focused examples, our work helped accelerate migration for core benefits and claims-related systems, uncover hidden business rules and reduce manual testing effort through automated test generation. In one health-related modernization story, the result was three times faster migration along with lower costs and code that was easier to maintain in a modern technology stack.

These outcomes reflect the value of combining AI with human expertise, enterprise context and governed execution.

Modernize healthcare platforms with more confidence

Healthcare legacy modernization cannot be treated like a standard application rewrite. The systems are too central, the rules too complex and the risk of disruption too high.

Publicis Sapient helps healthcare organizations modernize claims, benefits, enrollment and other critical platforms through an AI-assisted approach designed to preserve business logic, reduce SME dependency, expand testing coverage and support secure, low-disruption transformation.

The goal is not simply to move off legacy technology. It is to build a safer, more agile foundation for the future of healthcare experiences, operations and AI-enabled growth.