Turning Interviews into Confirmable SOPs

Interviews can contain informal language, omissions, different viewpoints, and unconfirmed exceptions. Generating a document directly from a transcript can turn assumptions into process steps, leaving later readers unable to tell what has actually been confirmed.

第一階段只整理證據與缺口；人工確認不是附註，而是決定能否進入第二階段的必要關卡。

• Preserve recordings, transcripts, or notes, then identify quality, speaker, and low-confidence issues.
• Build an initial process model from confirmed material while listing roles, exceptions, and questions that still need answers.
• Keep confirmation with the people responsible for the process; produce the SOP and process-map draft only after their responses are incorporated.

The prototype has completed an end-to-end, everyday test case and connects source material, open questions, and document drafts in a clear sequence. It has not yet completed long-form real-interview testing, formal adoption, or impact measurement, so no efficiency or quality improvement is claimed.

This case describes only a public-safe method and anonymized prototype material. It contains no real recordings, transcripts, department data, names, system screens, or controlled documents.

• End-to-end everyday test case
• Staged workflow and quality gates
• Editable process-map and SOP-draft structure

Long-form real-interview testing, formal department adoption, process-owner approval, and before-and-after measurement have not yet been completed; this page makes no quantified claim.

A reliable AI workflow does not need to decide on behalf of the process owner. Its value is also knowing when evidence is insufficient and making the next confirmation clear.