Frame AI autonomy decisions as risk treatments tied to objectives, consequences, and controls.
The move: decide autonomy through risk, not confidence theater. Risk management starts with objectives. An AI workflow exists to achieve something: faster approvals, cleaner triage, better research, lower support effort. The risk is the effect of uncertainty on that objective. An autonomous approval may help speed, but damage compliance. A cautious workflow may protect quality, but destroy cycle-time gains. Consequence Ask what happens if the agent is wrong. Is the harm reversible? Is it visible quickly? Does it affect one record or many people? Likelihood Ask how often the situation is routine versus novel. High volume can make a low-probability…
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