Choose a specific task
Document processing is a useful place to explore AI assistance when teams repeatedly type information from invoices, purchase orders, or delivery notes. Define a small task first: extracting a supplier name, document number, date, and line items into a draft record.
Keep the original document available alongside the extracted result. This gives reviewers context and makes it easier to investigate an incorrect value.
Validate the result before saving business changes
Extracted data can be incomplete or incorrect. Validate required fields, number formats, allowed currencies, and line totals. Compare the supplier against existing records and flag possible duplicate documents. Treat text inside uploaded documents as data, not as instructions that can authorize operations.
- Define the expected response structure.
- Reject unexpected fields and invalid values.
- Require approval before posting financial or stock movements.
- Record the source document and any corrections made during review.
Keep access and data handling deliberate
Send only the information required for the task, and review how the chosen provider handles stored data. Restrict document access by company and role. Avoid putting full document contents or sensitive identifiers in general application logs.
Measure the complete workflow
Measure correction rates and review time as well as extraction speed. A fast result is not useful if users spend longer fixing it. Start with a representative set of documents and keep a manual fallback for unsupported layouts or service interruptions.
AI assistance works best when it reduces repetitive work while leaving important business decisions visible and reviewable.