Where AI fits — stage by stage.
AI in go-to-market is not on/off. It matures through four levels — from assisting a human, to running on its own. The skill is placing each task at the right level: too early and it breaks trust; too late and you leave compounding on the table.
Four levels — assisted to autonomous.
Map every task to a level, then move it up only when the data and the trust are there.
Assisted
AI drafts; a human decides and sends. Speed with full human judgment in the loop.
Augmented
AI recommends the next move from the record; the human approves. Judgment, scaled.
Automated
AI runs defined plays end to end within guardrails; humans handle exceptions.
Autonomous
AI orchestrates a motion and self-corrects from outcomes. Humans set the goal and the limits.
The clever bit: maturity is per-task, not per-company. The best teams run Level 1 and Level 4 side by side — each task placed where its data and risk allow.
Name your maturity level before you scale it.
AI is one model of eight.
The AI Maturity Model is how the OS scales — paired with Data, Moat and Operation. See how the whole engine runs.