AI Modernization for Regulated Industries

In regulated industries, modernization is never just a technology upgrade. It is a business-critical move that must protect continuity, preserve institutional knowledge and stand up to governance, audit and compliance demands from day one. For healthcare organizations, financial institutions and life sciences companies, fragile legacy systems often sit at the center of essential operations. They process claims, power payments, manage content approvals and hold business rules that have evolved over decades. Replacing or modernizing them without disrupting the enterprise requires more than experimentation. It requires platforms built for production, with traceability, human oversight and enterprise context embedded from the start.

Publicis Sapient helps organizations move from stalled pilots and brittle legacy environments to governed, production-ready platforms that accelerate outcomes without increasing operational risk. With Sapient Slingshot and Sapient Bodhi, we modernize legacy systems, orchestrate AI within real business workflows and help enterprises scale transformation in environments where documentation, accountability and resilience are non-negotiable.

Modernization built for high-stakes environments

Regulated enterprises face a unique challenge: the systems that most need to change are often the systems the business can least afford to break. Legacy applications still power claims operations, core banking processes, batch feeds, payment modules and regulated content supply chains. Yet these systems were never designed for APIs, real-time data, cloud-native architectures or AI-enabled workflows.

Publicis Sapient addresses that challenge by combining decades of industry expertise with AI platforms designed to work inside complex enterprise environments, not around them. Rather than forcing rip-and-replace programs or isolated pilots, our approach focuses on uncovering buried business logic, documenting dependencies, generating verified specifications and embedding governance before deployment. The result is faster modernization with stronger control over quality, compliance and operational continuity.

Why regulated industries need more than generic AI

In regulated settings, AI cannot be treated as a standalone assistant or bolt-on tool. It must operate within governed workflows, connect to the right enterprise context and provide clear accountability for what it produces. That is why Publicis Sapient positions Bodhi and Slingshot not as generic AI products, but as enterprise platforms designed for production.

Sapient Slingshot modernizes legacy systems by turning existing code into verified specifications and generating modern software with full traceability. It helps teams extract hidden rules from undocumented code, map dependencies, automate testing and preserve critical business logic while accelerating delivery.

Sapient Bodhi builds and runs enterprise-ready AI agents with the orchestration, context and governance required to scale across real business workflows. It helps organizations move from fragmented tools and stalled pilots to secure, compliant production by connecting AI to governed data, role-based access and auditability from day one.

Human-in-the-loop delivery reduces modernization risk

In regulated industries, speed only matters if it comes with control. Publicis Sapient uses a human-in-the-loop delivery model to ensure that AI acceleration is paired with expert validation at the moments that matter most. Product owners, engineers, compliance stakeholders and business teams can review generated specifications, validate business logic, confirm target-state designs and oversee execution before changes reach production.

This model reduces the risk of hidden defects, missed requirements and undocumented decisions. It also helps organizations maintain confidence across the full transformation lifecycle, from code discovery and requirements generation to testing, deployment and post-launch operations. Instead of replacing human judgment, AI amplifies it—making modernization faster while preserving the oversight regulated environments demand.

Traceability, governance and enterprise context by design

Many AI programs fail because controls are added too late. Definitions change, lineage is unclear, ownership is fragmented and monitoring only begins after launch. Publicis Sapient takes a different approach. We define the workflows, decision points and systems that matter first. Then we design governed architectures with lineage, access controls, monitoring and audit logs built in before deployment.

That foundation is especially important in regulated industries, where enterprises need to know how outputs were created, what logic informed them and who validated them. With Publicis Sapient, modernization is grounded in visibility: business rules are surfaced, dependencies are documented, tests are automated and AI operates inside controlled workflows with clear accountability. Enterprise context becomes a compounding asset rather than a hidden risk.

Proven outcomes in healthcare, banking and pharma

In healthcare, a leading U.S. healthcare company used Sapient Slingshot to modernize decades-old claims processing systems running on mainframe. After years of slow progress, the organization accelerated migration speed by 3x, modernized 10,000 screens and reduced modernization costs by 30%. Slingshot transformed legacy COBOL into clean, maintainable Java and React, auto-generated functional specifications and test cases, enabled cloud-native deployment and applied human-in-the-loop validation to support quality and compliance throughout the program.

In financial services, Publicis Sapient partnered with Anglo-Gulf Trade Bank to build the first fully digital trade finance bank in months, combining adaptive architecture with agile delivery. The work demonstrates how digital banking transformation can move quickly when the right operating model and platform foundation are in place.

For a major British retail and commercial bank, Publicis Sapient used its GenAI-driven modernization approach to analyze more than 350 files and nearly half a million lines of complex Unisys COBOL code across critical programs. In just eight weeks, the team generated program overviews, flowcharts, field mappings and fan-out diagrams, enabling product owners to validate functionality quickly. The result was a 70% reduction in manual effort for code-to-spec work, 95% accuracy in generating specifications and a 40–50% increase in migration speed.

In life sciences, a global pharmaceutical company used Bodhi to transform regulated content creation at scale. Hosted in the client’s environment, Bodhi streamlined data ingestion, MLOps and creative workflows so teams could generate compliant-ready copy and imagery in seconds. The program delivered 75% faster content production, up to 45% cost reduction and faster time-to-market, while supporting localization, reuse and secure integration with the client’s existing architecture. In another healthcare marketing deployment, AI agents trained on brand, regulatory and medical context helped reduce content creation time dramatically while maintaining governance controls across more than 30 markets.

From legacy bottlenecks to production-ready platforms

What connects these examples is not just AI. It is the ability to turn enterprise complexity into governed execution. Publicis Sapient helps organizations identify the systems constraining growth, clarify where AI can operate safely and activate the right platform for measurable impact. That means modernizing what matters most, preserving what the business depends on and embedding governance before complexity compounds.

With Slingshot, legacy logic becomes visible, testable and ready for transformation. With Bodhi, AI becomes operational inside workflows that require control, observability and accountability. And because these platforms are designed to work within existing enterprise environments, organizations can evolve without destabilizing the systems they rely on every day.

AI that is ready for regulation, resilience and real delivery

For regulated industries, the question is no longer whether to modernize with AI. It is how to do it in a way that reduces risk while accelerating outcomes. Publicis Sapient brings the industry experience, delivery rigor and purpose-built platforms required to make that possible.

When compliance matters, documentation matters. When business continuity matters, operational resilience matters. And when AI moves from pilot to production, governance, traceability and human oversight matter most of all. Publicis Sapient helps enterprises modernize with confidence—transforming fragile legacy systems into governed, production-ready platforms built for the realities of healthcare, financial services and other high-stakes environments.