Pilot AI where being wrong is cheap
Learn the failure modes on work that doesn’t hurt when it breaks.
The instinct is to point AI at the most expensive problem you have. The better instinct is to point it first where a mistake costs an afternoon, not a customer or a court date.
Drafting, summarising, first-pass triage, surfacing things a person would otherwise dig for — low stakes, high volume, easy to check. You learn how the technology really fails on work where failing is survivable. Then you move it toward the things that matter, having earned the right to.
Good adoption looks boring from the outside. The drama is what you avoided by being unfashionably patient at the start. There’s a longer version of this argument if it’s useful.
Written by Davor Cukeric — an AI builder, systems integrator, and problem solver in Ottawa, Canada, working on AI that earns its trust. More about me.