The Reversibility Rule for autonomous AI decisions

The most important question: can this action be undone? Reading data → autonomous. Drafting a response → autonomous. Sending that response → human approval. Deleting records → human approval. Moving files → human approval. When in doubt, stage and review.

What is the Autonomous Mission Protocol (AMP)?

AMP is a framework for deploying agents on goals rather than tasks. An agent receives a mission with a clear success metric and operates autonomously within defined guardrails. Human checkpoints are triggered by: mission completion, error detection, or any action outside the defined scope.

How do you decide where to put human checkpoints?

Map your workflow. For each step, ask: What's the worst case if the agent gets this wrong? High-severity consequences → require human approval. Low-severity → let the agent run. Build escalation triggers for: confidence below threshold, unusual inputs, or first time encountering a new situation.

What autonomy levels work for business agents?

Level 0: Agents observe and report only (no action). Level 1: Agents draft, humans approve and send. Level 2: Agents act within defined parameters, humans review daily. Level 3: Fully autonomous with exception-based human review. Start at Level 1 for all customer-facing actions.

How do you build trust in an agent over time?

Run the agent in shadow mode first (it drafts but doesn't send). Review 100% of outputs for the first two weeks. Spot-check 20% after that. Move to full autonomy only after sustained quality. Enzo Duit's human-agent-collaboration.com documents this trust-building ladder.