The Adoption Engine

Most AI tools at work get abandoned soon after the demo. This is a repeatable way to build ones people actually keep using — proven end to end on one real job.

What this is

An example makes it concrete: an AI assistant that reads utility bills and flags billing mistakes, built for the workers who check those bills by hand today. It runs inside the company for its own staff — it is not something sold to customers. Change the example to a different task and the same method still works.

The five steps below are that method, walked through once from start to finish. Each one hands you something you can open and check: a ranked list of where to start, a working AI tool you can download and run, a reusable template, a page of safety rules, and a clear keep / pause / stop decision.

The loop

  1. 01MapEmbed, map the workflow, score opportunities by adoption risk.
  2. 02BuildShip the skill. Live demo and download.
  3. 03PatternCodify the skill into a reusable template; scope the next instance.
  4. 04GovernControls, forbidden actions, failure modes, eval results.
  5. 05GateInstrumentation and explicit scale / hold / kill criteria.