An AI document feature needs a defined job. Finding a passage in a handbook, extracting fields from an invoice, and drafting a response from several documents are different tasks with different failure costs. Start with the business action the output will support, then decide where assistance is useful.
Choose a bounded first task
Describe the input, the expected output, and the person responsible for the next step. For example, an internal assistant might locate a relevant policy passage and prepare a draft answer for a staff member to review. It should be clear when the assistant has insufficient evidence and needs to stop.
Avoid defining success as simply adding a chat interface. A successful workflow should make a specific task easier to complete while preserving the controls that task requires.
Gather examples before choosing an approach
Build a small set of representative documents and questions, using material you are authorized to use. Include difficult cases: an unreadable page, conflicting versions, a missing field, or a question whose answer is not in the documents.
Record the expected result and what would make an output unacceptable. A plausible answer with the wrong source may be worse than a clear statement that no answer was found. Use these examples to compare approaches and revisit them when the system changes.
Design the review step
Give reviewers access to the relevant source material alongside the suggested output. Make it possible to correct or reject the result, and record the final decision where the business workflow needs an audit trail.
Review should be practical, not ceremonial. If checking an answer takes more effort than doing the original task, adjust the scope or presentation. Begin with tasks where a reviewer can evaluate the evidence without reconstructing the entire process.
Define access and data boundaries
Decide which documents each user may access, where processing happens, how long source material and outputs are retained, and which external services receive information. A generated answer must not become a shortcut around existing access restrictions.
Confirm these requirements with the people responsible for the information before introducing sensitive documents. Use a limited, approved dataset while evaluating the workflow.
Roll out with clear limits
- Begin with a defined user group and document collection.
- Keep consequential actions behind an appropriate approval step.
- Track rejected answers and the reasons for rejection.
- Monitor processing failures, response time, and usage cost.
- Recheck the evaluation examples when documents or system behavior change.
The first release should help the team learn where assistance is dependable and where manual work remains necessary. Expand the workflow only when the evidence supports it. A narrower tool with clear boundaries can be more useful than a broad assistant whose output is difficult to verify.