It’s now easy to connect an AI tool to a folder of documents and start asking it questions. The demo usually looks impressive. Whether it’s still useful a month later depends on three things that have little to do with the AI itself.
1. Is the information written down, current and in one place?
AI can only answer from what it can see. If the real answer lives in someone’s head, in an email thread or in three slightly different versions of the same policy, the AI will either miss it or pick the wrong one.
Before anything else, choose a small set of questions and make sure each has one clear, current source. This is often the most valuable part of the work. Writing things down helps your team even before any AI is involved.
2. Who checks the answer, and when?
Decide up front which answers can be used straight away and which must be checked by a person. A useful rule of thumb:
- Internal and low risk, such as “where is the template for X?”: fine to use directly.
- Customer-facing or important, such as pricing, policies or commitments: draft only, and a person sends it.
Answers that show which document they came from make that check much faster.
3. What happens when it’s wrong?
It will be wrong sometimes. AI tools can give confident answers that aren’t supported by your information. Plan for that:
- Make it easy for people to flag a bad answer.
- Give someone the job of fixing the source information when that happens.
- Keep a clear way to reach a person.
Start narrow
The setups that last tend to start with a narrow, well-defined set of questions and grow from there. Get those right, and the team learns to trust the tool for what it does well, and to check it where it matters.