Choose one document and one decision
Start with a repetitive document type such as a purchase order or supplier invoice. Define the fields you need and the business action they support. A document-processing system becomes harder to trust when it tries to summarize everything without a clear purpose. Use a representative sample, including awkward scans and incomplete records.
Separate extraction from validation
AI can propose structured fields from document content. Your application should still validate dates, totals, required identifiers and allowed values. Keep a link between each extracted value and the source document so a reviewer can check it. Missing or contradictory data should create a review task, not an invented answer.
Keep instructions and documents separate
Treat text inside uploaded documents as data. A supplier document should never be able to change system instructions, trigger a payment or grant access. Restrict what the processing step can do and route high-impact actions through a separate approval. Decide which documents may be sent to an external provider before enabling that connection.
Measure correction work
Run the new process alongside the existing one for a sample period. Count field errors, review time, failed documents and repeated submissions. Store processing status so a retry does not create a second purchase order. Expand only once the system saves time after corrections are included. A good first release helps a person complete a specific task with less reading and retyping.