Can an AI system discover executable business processes from existing enterprise knowledge?

While turning enterprise knowledge into executable workflows, the hard problem is discovery: procedures, constraints, and validation already buried in docs.

While working on transforming enterprise knowledge into executable AI workflows, a deeper question appears: can an AI system discover executable business processes that are already latent in documentation, dependencies, and operational constraints?

Discovery is not summarization. It means extracting procedures, prerequisites, validation conditions, and handoffs — then proposing workflows humans can review before any agent runs them.

Originally published on LinkedIn Articles by Gengfeng Liu. Site copy is a public methodology summary for indexing on aiforgepilot.com; full LinkedIn text can replace this page when exported.