Agentic Legacy Modernization: Modernizing Legacy at the Speed of Intelligence
Financial institutions and fintech companies spend most of their IT budget just keeping legacy systems running. This session shows how orchestrated AI agents, working across discovery, reverse engineering, code transformation, and validation, are changing that math. LMOD 3.0's seven-stage pipeline compresses modernization timelines by 40 to 50 percent and cuts technical debt costs by up to 70 percent, with code conversion accuracy above 95 percent in legacy to modern code migrations. Engineers move from writing code to governing outcomes, verifying every build against real compiler checks rather than assumption.