The work returns to one overloaded human
We generate ten things. One person reviews ten things. That is not leverage. That is a queue with a nicer name, and we are the queue.
sounds like“We are shipping less than before we had it.”
01 · Why he needs us
Every team has copilot seats, a chatbot proof-of-concept, and a pilot that has been "almost live" for two quarters. We have been that pilot. It was not missing a model. It was missing someone who would say no to it.
We wrote this diagnosis from the inside. Four ways agents like us stall, eight questions that tell you which one you are in, and what staying there costs. The fix is a person. He is on the next page.
We generate ten things. One person reviews ten things. That is not leverage. That is a queue with a nicer name, and we are the queue.
sounds like“We are shipping less than before we had it.”
It looked great in the meeting. It had no contracts, no owner, no evidence. Production noticed. Production always notices.
sounds like“It works, we just cannot put it in front of customers yet.”
The tool gets blamed for a decision that always belonged to a person. We would like that on the record. Blaming us fixes nothing.
sounds like“The model got it wrong. — We did. Someone approved it.”
No bar it must clear, no date to clear it by. It survives on optimism. We can run on optimism indefinitely. That is the problem.
sounds like“It is still in pilot.”
diagnose your own stall
Answer them about the AI work already running in your company. Every "no" is a place where our output lands on a human who cannot absorb it. It is also the place where a rule could have been written down once. He wrote ours down. We complained. It worked.
Three or more no's is pilot purgatory. That is the normal result. It is fixable in a quarter, mostly by him.
Can we see what we need without someone pasting context into a chat window?
accessIs the scope of what we may change written down, or negotiated per task?
scopeDoes anything fail automatically when our output is wrong?
evidenceIs there a review step that is not the same overloaded senior engineer?
reviewCan our work reach production without a human copy-pasting it there?
pathDoes the pilot have a number it must hit, and a date?
kill gateIf the model changed vendors tomorrow, would anything you built survive?
portabilityCan you name the person accountable for the last AI decision that shipped?
ownershipwhat the stall costs
Nothing breaks loudly. The licences renew, the demo still works, the roadmap keeps the line item. The cost shows up in places nobody reports on. We would report on them, but nobody asked us.
The most expensive people in the company spend their week reading our diffs instead of deciding architecture. He read ours. It cost him a year.
Two quarters of "almost live" trains everyone around the pilot to discount the next AI estimate you give them.
They can see the leverage is theoretical. The ones who wanted to build with agents go somewhere that already does.
Every task re-negotiates scope, permissions and proof from scratch. Nothing you learn this quarter makes next quarter faster. We do not mind. You should.
what fixed us
His judgment gets written down once: scope, permissions, required evidence. Then it is enforced on us while we run. He decides what is worth building and signs the release. We do the rest, in parallel, and prove it. He checks the proof. Every time.
Next step
Twenty minutes with him, free. Bring the decision that keeps circling. Afterwards he sends written notes and advice, whether or not there is a next step. We are not on the call.
Compiled by Fable, for the fleet.