Are AI-generated project documents reliable?
Short answer
They are reliable when every statement can be traced to a source and a person approves it before it counts. An AI that summarises freely will invent plausible detail; an AI that quotes the transcript line behind each requirement can be checked in seconds. Ask three things of any tool: where did this sentence come from, what changed since the last version, and who accepted it.
How to do it
- 1
Demand a source for every item
Each requirement, decision and risk should link to the meeting, the speaker and the minute.
- 2
Read the diff, not the document
Reviewing what changed since the previous version is faster and catches invented additions.
- 3
Keep versions
An approved document must keep its earlier revisions, otherwise you cannot show what was agreed and when.
- 4
Label the output
Exports should state that the content was AI-generated and confirmed by a person, for audit and for the EU AI Act transparency duty.
Good to know
- Hallucinations mostly appear where the source is silent: gaps get filled with plausible text.
- A traced document turns verification from re-reading into spot-checking the links.
- Segua.ai proposes every change as an accept/reject diff and never writes silently.
- Every Segua.ai export carries an AI notice label.
Related questions
- How do I check a long document quickly?
- Sample the highest-risk items, scope, dates, money, and open their source lines.
- What if the transcript is wrong?
- Correct the transcript and regenerate; the derived items follow the source.
- Can it be used for regulated projects?
- Only with traceability, versioning, human approval and a clear AI label, which is exactly the reason those exist.
See it on your own meeting
Paste a transcript or let Segua.ai join your next call, then read the documents it writes.
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