AI Agent Interface for Legacy Mainframe and COBOL Systems
Enterprises running critical systems on mainframes cannot modernize quickly enough. An agentic interface that lets AI interact with mainframe screens, COBOL programs, and legacy databases bridges the gap between modern AI tooling and legacy infrastructure worth trillions in business logic.
Problem Statement
Mainframe systems run 70% of Fortune 500 critical workloads but are inaccessible to modern development tools and AI agents. Screen-scraping is brittle, documentation is sparse, and the knowledge of how these systems work is leaving with retiring developers.
The Idea
An AI agent middleware that translates mainframe terminal interactions (3270 screens, JCL, COBOL) into modern API surfaces that coding agents can understand and manipulate.
Why Now
Mainframe workforce is retiring (average COBOL developer age: 55+). AI coding agents can read and modify code but cannot interact with mainframe terminals. Enterprises spend billions maintaining systems they cannot modernize fast enough.
Target User
Enterprise modernization teams, mainframe DevOps engineers, large consulting firms
Target Market
Enterprise mainframe modernization, legacy system integration
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