Wrapping an LLM in a ReAct loop with a few Python tool definitions works fine in a demo sandbox, but deploying it against enterprise infrastructure turns minor hallucinations into cascading outages, ghost database writes, and silent data corruption. The naive approach to agentic automation assumes perfect deterministic tool execution, treats every API call as inherently…
As agentic AI moves from experimentation toward enterprise deployment, the challenge is figuring out how agents can work together, connect to the systems and data they need, and operate safely across the workflows that run a business. Although agentic AI has been adopted by some 80% of Fortune 500 companies, progress toward meaningful scale remains…
This post was co-authored with Marc Steren, Odina Salihbaeva, and Aashrit Surapaneni from University Startups, a partnership between University Startups, g/d/n/a, and AWS.
