The human's guide to agentic legacy modernization
How to make your legacy systems AI-ready fast and safely
Up to 80% of IT budgets go toward maintaining aging codebases, patching security holes, and managing manual workflows. This maintenance burden leaves little room for innovation, while 38% of IT leaders report that legacy systems directly stall their AI initiatives.
Organizations facing digital transformation often hit a wall with traditional approaches. Manual rewrites take years and tie up key engineering talent, while lift-and-shift migrations simply move existing technical debt to expensive cloud infrastructure. Agentic legacy modernization provides a controlled third option: using AI agents to analyze, decode, and re-architect legacy logic into modern applications while keeping humans in the loop.
The Agentic legacy modernization strategy
Instead of unplugging stable core systems like SAP, Lotus Notes, AS/400, or legacy Java, agentic strategies extract embedded business logic and isolate it behind clean APIs. This layer lets development teams deliver modern user experiences and deploy custom AI agents directly on top of legacy core assets without breaking what already works.
Legacy modernization benefits: Shift spend from maintenance to impact
Adopting an agentic approach eliminates the keep-the-lights-on tax. By insulating core systems with an Enterprise Context Graph and deploying governed agents, teams reduce application backlog pressure and direct technology spend toward driving measurable business growth.
Download the full ebook for a comprehensive guide to turning technical debt into business impact.
Frequently Asked Questions
Agentic legacy modernization uses AI agents to automate the analysis, decoding, and re-architecting of outdated software systems like SAP, COBOL, and Lotus Notes. Instead of manual rewrites, AI agents extract business logic and help developers build modern, secure applications on top of a governed core.
AI agents read legacy source code and technical documentation to generate human-readable system specifications. Human developers review, validate, and update these specifications before generating application components, ensuring institutional knowledge and business rules remain intact.
OutSystems provides an agentic platform that wraps legacy applications with APIs, extracts core logic using AI assistants, and deploys scalable applications with built-in enterprise governance, security, and observability.