Your AI works. Nobody owns it.
I collect the AI rollouts that quietly stopped working, figure out why, and put the people who lived through them in one room. Bring yours.
THE QUIET FAILURE
Your rollout went great. Then it didn’t.
The system launched. Cycle time dropped, the business case held, the dashboard went green and stayed green. Everybody moved on to the next thing.
A year later the workflow no longer matches how the work actually gets done, and nobody left in the building can tell you why it was built that way.
Welcome to the quiet failure.
It is the gap between the system runs and somebody still understands it. Almost every AI programme measures the first. Almost none measure the second, which is exactly why this failure is so quiet.
So one of two things happens. The workflow freezes exactly as delivered and drifts out of true, or people route around it while usage stays healthy because nobody is looking at who.
I could not find anyone publishing these cases honestly, so I started collecting them.
WHAT’S HERE
Ownership over adoption.
I collect the cases nobody publishes, test them against a working framework, and put the people who lived through them in the same room.
Research notes
The question, what the research says, my take, the implications, and where it breaks. Sources come with the discount on each one, because what a citation supports is usually narrower than the use it gets put to.
A cohort that tells the truth
Ten to twelve practitioners, one hour a month, closed room. Somebody brings a case and the rest of us take it apart. No pitch decks, no vendor demos, no highlight reels.
The Festivus
The session where the people using your system tell you precisely how it let them down. Still the fastest way I know to hear the truth while you can still act on it.