Enterprise AI is easy to buy,
brutally hard to ship.
Delivery is the difference.

"It was a workaround that became load-bearing. Added under deadline pressure, the two people who understood why it existed eventually left, and nobody wanted to remove it without knowing what would break. That's the failure mode I watch for now: not the big rewrite risk, the quiet fix that outlives everyone who could explain it."

"The harder problem isn't designing the platform, it's getting a team with a working pipeline to give it up. Nobody migrates off something that ships fine just because a shared alternative exists. Whoever owns the migration usually has to make the old way visibly more expensive first, then let the new one win on its own terms."

"The real failure mode is employees who stopped raising a concern because escalation changed nothing, not the AI's blind spot. Most reviews spend their time checking if the model is accurate, and almost none ask whether the intake process still reaches the person who saw the problem early."

"What's missing is a way to flag when the recommended scope conflicts with a date someone senior already promised outside the team. A structured starting point has nothing to say to the account lead who told a client yes three weeks ago."

"The detail that stands out: the same forecast that tells leaders to embed agents by 2026 also expects 40 percent of those projects cancelled by 2027. Boardrooms are hearing 'move now' and 'this mostly fails' from one source, and almost nobody says that part out loud before the budget gets approved."