Brief
Mission-critical systems rarely survive replacement theater. Use AI to characterize and modernize in controlled steps — and keep the business running.
Critical systems encode years of exceptions. A greenfield rebuild that ignores those exceptions ships a cleaner architecture that cannot run the business. Operators then run two systems until faith and budget expire.
Used carefully, AI accelerates documentation, dependency mapping, test generation, and localized refactors. Used carelessly, it proposes confident changes nobody can verify. The difference is evaluation and human review — the same discipline as any other AI in production.
Characterize before rewriting. Expose narrow interfaces. Move one workflow at a time. Keep rollback paths. Measure behavior after each cut. Expand only when evidence supports it.
Modernized architecture should be easier for tools and agents to reason over — with clear contracts, better data access, and governed actions. That is how legacy work and AI implementation become one thread instead of two competing budgets.