Where enterprise AI actually fails
The failure point is rarely the model. It is the integration layer, the data contract, and the absence of a defined fallback.
Writing about the parts of enterprise AI that are rarely demonstrated: integration, governance, exception design and the honest limits of automation.
The failure point is rarely the model. It is the integration layer, the data contract, and the absence of a defined fallback.
Useful agents are defined by what they cannot do. Scope, permissions, and stopping conditions are the design work.
The exception path deserves the same design effort as the happy path, because that is where the work is.
How much foundation is enough before starting on intelligence, and how to avoid a two-year detour.
A practical test for deciding what deserves custom engineering and what should be configured and forgotten.
Central platform, paved paths, and measured quality — governance that speeds teams up rather than gating them.