Enterprises still gamble on the classic “big‑bang” rewrite of fifteen‑year‑old monoliths, hoping a pause in feature work will yield a clean Rust or Go codebase. Practitioners now recognize that the code‑to‑context gap makes such projects doomed; decades of hidden business logic vanish when the old system is discarded.

The new Agentic Strangler pattern swaps a full rewrite for AI‑driven wrappers. By deploying Model Context Protocol (MCP) agents, teams build a Universal Adapter that preserves session context across legacy mainframes and modern cloud databases. An AI agent acts as a dynamic facade, routing intents like “process refund” to both legacy and new microservices without manual configuration.

Early adopters report tangible gains. Insurance firm Sure claims quote‑to‑bind cycles are now 95 % faster, while Boomi uses agents to stitch together fragmented WMS and ERP systems, automating inventory checks across silos. As more firms decouple technical debt from business value, the Agentic Strangler could become the default migration playbook.