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When AI Meets an Exception: Stop and Hand Over to a Person

After handing over a task to the AI, one of the most important handovers is to let it stop in time when it is no longer suitable to continue. This article discusses how three types of exceptions, including missing data, unclear permissions, and business conflicts, can be manually processed, and explains how to design the reminder content, responsible person, and recovery conditions. The article does not regard frequent handover to a person as a simple failure, nor does it recommend that the system cross the boundary for the sake of automatic completion rate.

Chinese edition published 23 Oct 2026 · 阅读中文原文 ↗

Source timingPublic information and official documents; verified on October 23, 2026.

The Error Handling and Interrupts documentation provides technical background. The following is an analysis of ChinaOPC’s original services. The specific scope of exceptions is determined by business risks and actual responsibilities.

Reminder to bring information that can make decisions

To simulate a customer requesting modifications to confirmed materials, the AI should provide the original version, the change request, and the affected parts, rather than just sending "something went wrong." Only when the operator knows what is happening can he make the decision to add information, approve changes, or stop the task.

Different exceptions take different entrances

Technical timeouts can be handled by maintainers. Business content conflicts require customer confirmation. If permissions are unclear, the action will be suspended first. Don’t pile all your questions into a group chat that no one is constantly checking, and don’t let the model fill up approvals on its own.

Reconfirm conditions when restoring

Manual replies are only valid for specific questions and versions, and need to be checked again when the input has changed. Record the recovery basis and subsequent results to gradually reduce repeated problems. This article does not promise that unmanned operation can be achieved through these arrangements, nor does it directly equate the number of manual interventions with service quality.

Extended reading: OPC Special Topic.

Sources and editorial notes

AI assists in organizing and writing, and editors check public sources. The main text is an independent analysis by ChinaOPC, with source facts and simulation plans separated; no interviews, financial audits or actual product testing have been conducted. Official documents are based on the original text of the source and have not been adapted or replaced. English translation of the Chinese edition, prepared with machine assistance and editorial checks. Source verification dates refer to the original Chinese research.

Source titles and publisher names are retained in their original language. Refer to the linked originals for official documents and current requirements.

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