Enterprise AI
Enterprise AI fails at four places
When an enterprise AI initiative fails, the post-mortem usually blames the model. It is almost never the model. The failures cluster at four predictable seams: context, governance, evaluation, and operating model.
Security Governance
Accountability is not a checkbox
Human in the loop and approval workflows feel like governance, but without legible reasoning and durable decision records they are accountability theater - a signature on a choice no one can actually defend.
Context Intelligence
The model was never the moat
Every enterprise can buy the same frontier model. The durable advantage lives in the governed context that surrounds it - what the system knows, why it knows it, and who is accountable for the knowing.