AI Agents & Automation

Human-in-the-Loop Workflows

Wherever AI output leads to a consequential action, and particularly where that action is irreversible or externally visible.

The design question is not whether to include a person but where. Proportionate review works: low-stakes work runs unattended, medium-stakes work gets lightweight approval, and irreversible or externally visible actions require structured review with documented rationale.

Requiring approval of everything creates a bottleneck teams route around, and a bypassed control provides worse assurance than a lighter control that survives contact with real workloads.

What the work includes

  • Risk tiering with criteria covering reversibility, blast radius, and detectability
  • Checkpoints placed before irreversible steps rather than at the start of a run
  • Review interfaces that show reasoning, so the checkpoint is meaningful
  • Measurement of how often review changes the outcome, to tune the tiers

// Common Questions

Questions
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Common questions about Human-in-the-Loop Workflows.

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Those that are consequential and difficult to reverse — sending external communications, moving money, changing customer records, anything with a regulatory dimension. The test is not how confident the model is but what it would cost to be wrong.

No, when the approval is the only human step left. Reviewing a prepared action is substantially faster than assembling it, and the value comes from the preparation. Approval only becomes the bottleneck when it is applied to actions that did not need it.

By showing the reviewer what the decision rests on rather than only the conclusion, and by keeping the approval queue small enough to be read. Approval applied to everything trains people to approve everything, which is worse than no review at all.

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