Enterprise AI's Worst Failure Mode: Confident Wrong Answers, No Errors
DavidLinthicum · x · 2026-10-13
Enterprise architect David Linthicum argues the most overlooked enterprise AI risk is broken exception handling: an AI system can fail without ever throwing an error—returning a fluent, confident but wrong answer. An agent acting on that mistake can chain individually reasonable decisions into a mess, with no stack trace to catch.
His playbook: human review for high-risk decisions, checks against trusted sources, close attention to recurring corrections and escalations, and worst-case (not typical-case) workflow testing before scaling. When AI acts across workflows, the stakes exceed model accuracy itself.
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