AI has made it cheap to produce what consulting used to sell: plans, decks, specs, even working software. It hasn’t made it cheap to know which of those are right. So we organize delivery around that. We commit to work only as far as the evidence supports. A date can force a decision, but it can’t stand in for proof. A client buys an outcome, delivered by the capabilities the work needs at the level it needs them. They don’t buy job titles or a stack of documents.
We hold this model to the same standard. Every part of it is a claim until real work tests it, and it changes when real work shows it’s wrong: the capabilities, the levels, the roles, the rules, the lifecycle. Parts are tested and put to use one at a time as they’re ready, without waiting for the whole to be finished. Anything not yet tested says so. When we change something, we ask the same question we’d ask on a project: does this help us commit on what we actually know?
The model is drafted, not proven; Status & Pilot Readiness shows where each part stands.