Mainframe and Core Modernization is no longer just a technology project. It is now central to enterprise AI strategy. The goal has shifted from getting off the mainframe to rebuilding how the core business runs, so that AI agents can reason and act on decades of trusted business logic, while the rules that must never change stay deterministic and controlled. Yet some of their most critical business logic remains embedded in decades-old systems that power core operations, but their complexity, limited documentation, and shrinking talent pools make modernization too difficult to reach. 

To unlock the full value of AI, organizations must first understand the systems that run their business. 

FPT and AWS invite you to an exclusive executive roundtable on Tuesday, Nov. 17, at PARKROYAL COLLECTION Pickering, Singapore, where industry leaders will explore how organizations can modernize legacy systems while preserving business-critical logic, reducing transformation risk, and building a foundation for future AI adoption. 

Drawing on experience analyzing and migrating more than billions lines of legacy code, FPT and AWS will share practical lessons from large-scale modernization initiatives and demonstrate how deterministic reverse engineering can uncover and validate business rules before agentic AI accelerates transformation. 

Through expert and executives’ perspectives, practical success stories and facilitated peer discussions, you will explore:

• How modernization is being redefined: moving beyond infrastructure exit and cost reduction toward business-process reimagination, real-time operations and AI-native workflows. 
• Where agents fit in your core: which business rules must stay as deterministic code, and which decisions that require judgment can move to AI agents, which extend the cloud-native core rather than replace it. 
• Understand before you reimagine: how to extract, validate and preserve business logic and dependencies, with full traceability, before any code is changed. 
• Choosing the right path: how to decide, application by application, whether to refactor, replatform, reimagine, replace or retain. 
• Momentum over big-bang programs: how to assess your estate quickly, then select one or two high-value business processes, take them into production and scale from proven results. 
• The AWS 3-3-3 approach: 3 days to assess, 3 weeks to prove on your own code, and 3 months to production for a well-scoped initiative. 
• Lessons from the field: what worked, what didn’t, and how early wins compounded across the enterprise.