Human in the loop
Adopt, but keep your hands on the wheel. The machine amplifies judgement. It does not supply it.
Human in the loop is the design principle in which a person reviews, corrects or approves what a machine produces before it has consequences. The book states it as a posture rather than a process: adopt, but keep your hands on the wheel. The machine amplifies judgement. It does not supply it.
Where the hands go changes by task. In the productive register the human checks the output. In the creative register the human does the cull. In the collaborative register the human has to be expert enough to know when the machine is wrong, which is not a review step but a qualification. The Tri-Skills tool carries the same rule in its own instructions: it amplifies judgement and does not replace it, never records a competence rung the evidence does not support, and ends every report by saying that the coaching conversation and the decision belong to the people in the room.
Set out in full in: Creating Customer Value Propositions with AI (Kogan Page, 2027), chapters 2, 7, 9 and 11.
Related terms
Automation bias
The human tendency to trust the machine even when it is wrong. The danger is not that AI replaces your expertise but that it lulls it into disuse.
The three registers
Productive, creative, collaborative: three different jobs AI can do for an account team. Not a maturity ladder, and the collaborative one needs an expert in the loop.
Copilot to autopilot
A copilot suggests, drafts and assists beside the human. An autopilot takes the controls on whole tasks. The line between them is drawn by judgement.
Hallucination
A confident, well-formed answer that is simply false. Worst on multi-step reasoning and specialised domains, which describes key account work exactly.
See the method run on one real account in three days: the One Page Proposition.