Source tracing: why every AI-drafted statement needs a link back
Large language models write fluently, and that is the problem in regulated work: fluent is not the same as supported.
Source tracing means every material statement in an AI-drafted document links back to the document, table or public source it came from. A reviewer can click through and check in seconds instead of searching for an hour.
It changes the review from "do I believe this?" to "does this source say that?", which is a question a person can answer quickly and defend later.
It also makes evaluation possible. When outputs are traceable and runs are reproducible, you can measure accuracy against a known good answer, which is how we approached validation documentation for a global bioprocessing leader.
Build traceability in from the first draft. It is much harder to add afterwards.
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