Index
Adding AI to scattered documents does not resolve contradictions, lack of responsible parties or outdated versions. In some scenarios, organizing the base is the investment that makes the assistant viable.
How to evaluate this decision
Select priority questions and check whether there are reliable sources to answer them. Identify gaps, overlap, and restricted content. There's no need to organize your entire company before getting started: a small, well-maintained domain can support a useful pilot. The boundary must be visible to avoid responses on topics not yet covered.
Criteria for comparing proposals
- Coverage: relating questions to sources and recording where information does not exist.
- Authority: define current version and responsible for review.
- Access: separate audiences and conditions for retrieving each content.
A scenario to discuss with the supplier
Hypothetical example: the team wants to automate responses about commercial conditions, but each salesperson uses a different table. First you need to sort out the official source; the model cannot decide which policy is valid.
What to validate upon delivery
Ask a reviewer to answer the questions using only the selected base. If this is not possible consistently, the limitation must be resolved or declared before automation.
Prepare the conversation about the project
Quantum9 can map the collection and implement a limited pilot. Bring the highest volume questions and those responsible for answering them to prioritize knowledge with operational utility.
Development with agentic AI · Map the company's priority