The model is only one part of the work.
A convincing answer is easy to generate. A useful answer has to refer to the right information, respect who may see it, and help someone complete a real task. Those requirements start in your data.
Map the information before the interface.
Pick one decision your team makes repeatedly. List the documents and systems it depends on, who owns them, how they change, and what happens when two sources disagree. A spreadsheet is often enough for this first map.
Keep the source attached.
For document workflows, an extracted date or clause should retain a link to its original location. A reviewer needs enough surrounding context to assess the extraction. An answer without that connection creates another piece of information to verify.
Define what good looks like.
Build a small set of representative examples with reviewed answers. Include incomplete documents, conflicting versions, and questions the system should decline to answer. Use those examples to compare approaches before investing in a broad implementation.
Buy the smallest useful improvement.
Sometimes the first improvement is a cleaner document inventory, a better search index, or a rule that flags missing information. Start there if it removes the bottleneck. Introduce a model where its contribution can be evaluated.
An EPP.AL perspective on workflow and technology. It does not provide legal, investment, or compliance advice.