The AI-Driven App Modernization Platform

Legacy modernization success depends less on replacing old code and more on reimagining the business processes behind it. This paper introduces a joint Pega and AWS platform that guides enterprises through a three-phase, AI-accelerated methodology — from reverse-engineering legacy assets at discovery time to deploying intelligent, agentic workflows on Pega Cloud.

For technology and business leaders accountable for reducing technical debt, controlling modernization risk, and delivering measurable outcomes, this whitepaper provides a practical blueprint for transforming legacy estates, such as mainframes, BPM platforms, Java/.NET applications, Lotus Notes, and legacy ERP, into composable, cloud-native applications without disrupting day-to-day operations.

If legacy systems are holding the enterprise back, the answer isn't just replatforming — it's reimagining how the work gets done.

This paper helps enterprise leaders move forward:

• De-risk the modernization journey by using a phased Strangler Fig approach that incrementally replaces legacy systems with zero business disruption
• Turn technical debt into business intelligence by automatically extracting business logic, workflow mappings, and data structures from opaque legacy code
• Accelerate design with agentic AI through the Pega Blueprint platform, which translates legacy artifacts into high-fidelity, executable application designs - Consolidate and rationalize fragmented legacy estates — mainframe, BPM, Notes, ERP — into a single, intelligent workflow platform
• Deploy with confidence using Infrastructure as Code templates that automate provisioning of supporting AWS services and ensure secure coexistence with legacy environments