Application modernization projects often stall under the weight of complexity. Teams are forced to choose between refactoring, re-platforming, or replacing systems with SaaS, often with incomplete information and high risk. Agentic AI and AI-assisted development approaches can cut through this complexity by transforming weeks of manual analysis into hours of structured, decision-ready output.

In this session, I’ll walk through a real-world modernization exercise in which coordinated teams of AI coding agents analyzed and planned the modernization of an existing open-source CRM application. The session begins by using AI agents to assess the application’s overall fitness for cloud deployment, including architectural constraints, operational risks, and technical debt that could affect cloud readiness.

From there, the talk explores how agent teams can be applied to evaluate whether modernization is even the right path. AI agents are used to research and compare existing SaaS alternatives, analyze migration feasibility, and surface trade-offs around functionality, data migration, cost, and organizational impact—providing leadership with clearer options earlier in the decision process.

Finally, I’ll show how agentic AI can be used to produce a practical modernization roadmap. This includes identifying modernization phases, sequencing work to reduce risk, and accounting for compliance, security, and operational gaps. Throughout the session, I’ll highlight the artifacts produced by agent teams, how orchestration and task decomposition work in practice, and where human judgment and architectural decision-making remain essential.

This is not a theoretical discussion. Attendees will see concrete outputs from a real modernization effort and leave with a repeatable, tool-agnostic framework for applying agentic AI to application modernization initiatives and accelerating the move to cloud-native architectures.

While Claude Code Agent Teams and Claude-Flow are top of mind right now, other products might be included if the product landscape changes.