Before you build a chatbot over your documents

A chatbot that answers from company policies, manuals or other internal documents can save time. It can also give confident answers from outdated or incomplete material. The quality of the system depends on more than the language model.

Prepare the source material

Start by identifying the documents people actually trust. Remove duplicates, mark outdated versions and name an owner for updates. If two policies disagree, decide which one takes priority before expecting a chatbot to resolve the conflict.

Define what the assistant can answer

Give the system a clear scope. A human resources policy assistant, for example, should know when a question falls outside its approved documents. It should be able to say that it cannot find an answer, rather than inventing one. For sensitive decisions, route the user to a responsible person.

Test with real questions

Build a set of questions from the people who will use the assistant. Include easy questions, ambiguous wording, outdated information and questions that should be refused or escalated. Review whether the answer is correct, cites the right source and respects access rules.

After launch, monitor unanswered questions and corrections. A document chatbot is an ongoing service: the documents, permissions and evaluation set all need maintenance as the organisation changes.