AOC AI Operating Core
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AI Operating Core · 2026

Where AI must stop and call a human

AI should stop where risk, responsibility, or unclear data appears.

Short answer

Typical stop points are large amounts, discounts, personal data, legal risks, unclear documents, and special customers. These cases belong in human approval.

What to check

Money limits

Money limits is treated as a separate check point: value, data, effort, control, and error handling need to fit together.

Data protection

Data protection is treated as a separate check point: value, data, effort, control, and error handling need to fit together.

Legal risk

Legal risk is treated as a separate check point: value, data, effort, control, and error handling need to fit together.

Special cases

Special cases is treated as a separate check point: value, data, effort, control, and error handling need to fit together.

Log

Log is treated as a separate check point: value, data, effort, control, and error handling need to fit together.

Typical limits

  • Invisible decisionInvisible decision should be clarified before the start so that the test works not only technically but also in daily operation.
  • No approvalNo approval should be clarified before the start so that the test works not only technically but also in daily operation.
  • No logNo log should be clarified before the start so that the test works not only technically but also in daily operation.

Next step

The trust page explains human control in detail.

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FAQ

Start with a repeated process where time, money, or control is visibly lost.

No. The first step can focus on one clear process and the most important data sources.

It organizes information, prepares text or decisions, and shows open points.

A person decides on exceptions, risks, approvals, and all cases marked as critical.