AI answers sometimes repeat details that were true two years ago: an old price, a retired feature, a closed branch. The agent checks answers against a fact sheet you approve, covering the things that matter most to a buyer. Anything that does not match is logged with the exact wording, the assistant and the date.
It also watches for framing that is technically correct but unhelpful, such as being described only as the budget option when that is no longer true. Those are flagged for a person to judge. The agent does not decide what is fair, and it never edits a source on its own.
Correcting an assistant directly is rarely possible, so the work happens at the source. We trace the wrong fact back to the page it came from, then suggest the change: an updated listing, a clearer pricing page or fresh structured data. Your team approves each fix before anything goes out.
Sometimes the error has no obvious source, or an assistant invents a detail. The agent logs it with the exact wording and the date, and we repeat the question over several days to see whether it persists. Persistent errors are escalated to a person, who decides whether anything can be done at the source.
The agent does not check legal, medical or financial correctness. It compares answers with the facts you approve. If your fact sheet is wrong, the check will be wrong too, so a quick review by someone senior is worth the time.
ChatGPT, Gemini, Perplexity, Claude and Copilot, with more added as they matter.