Enterprise AI Doesn't Fail in the Demo. It Fails in the Mess.
DavidLinthicum · x · 2026-10-20
Cloud architect David Linthicum argues that the easiest AI system to build is the one that works in a clean demo—clear data, prompts, and workflows. Enterprise reality is fragmented systems, conflicting records, stale policy docs, unavailable APIs, informal approval paths, and regional compliance quirks.
Key points:
- The problem is often the architecture around the model, not the model itself
- A polished answer built on partial, outdated, or contradictory context is more dangerous than no answer—it creates "confidence without operational truth"
- The real work isn't prompt engineering but governance, observability, and context infrastructure
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