What are the biggest risks of using Generative AI in project documentation and reporting?

All answers to this question.

The biggest risk is "human-out-of-the-loop" syndrome. You should never let AI send a report directly to a client. Use it as a draft generator, but a human PM must verify every figure, especially financial data. For privacy, ensure you are using an enterprise version of the AI tool that doesn't use your data for training. Establish a clear policy on what data can be uploaded—never include PII (Personally Identifiable Information) or sensitive trade secrets. Verification is your best defense against hallucinations.

   Answered 2024-09-15 by Susan Hall

If we spend so much time "verifying" what the AI produces to avoid errors, does it actually save us a significant amount of time in the long run, or is it just shifting the workload?

   Answered 2024-10-10 by Joseph Young

• Joseph, it definitely saves time on the "blank page" problem. It’s much faster to edit a 500-word summary than to write one from scratch. On average, our team has reduced the time spent on administrative documentation by about 40%. The "verification" is just a quick sanity check once you get used to the tool's common quirks. It’s about efficiency, not total replacement of the human element.

     Commented 2024-10-18 by William King

We focus on using it for sentiment analysis in stakeholder emails. It helps us flag potential project risks or dissatisfied clients much earlier than we could manually.

   Answered 2024-11-01 by Margaret Scott

• That is a brilliant use case, Margaret. Using AI for trend and sentiment analysis is far less risky than letting it handle the hard budget numbers anyway.

     Commented 2024-11-05 by Mark Robinson