CoReCo is an AI-transformation prioritization workshop you run yourselves. Everyone lists what they actually do, scores each task on Complexity, Recurrence and Cost — and the live bubble map shows exactly which work AI should take first, which needs structure before automation, and which should stay human.
Everyone in the room dumps the tasks they actually do — the official ones and the invisible ones. No task is too small; the small ones are usually the story.
Complexity — how clear are the steps (scripted → fuzzy judgment)? Recurrence — how often does it happen? Cost — the total drain across time, people, material and money. 1 to 5 each, gut feel is fine.
The live bubble plot places every task in one of four verdicts. Big bubbles in the amber quadrant are your headline AI opportunities — ranked for you, with names attached.
Clarity of steps on one axis, frequency on the other. Every task lands somewhere — and each somewhere has one obvious next move.
Prime AI ROI. The steps are already explicit and it happens constantly — this is where transformation pays back first.
Process debt hides here. It happens all the time but nobody can say exactly how. Bring structure before you bring AI.
Write it down, template it, script it. Too rare to be worth an AI transformation — but too clear to keep re-inventing.
Rare judgment work. Poor AI ROI — and often the work your team is actually paid to think about. Keep the human in it.