Practical AI / GUIDE + WORKSHEET
Extract document data with an exception queue
Design document extraction with field definitions, source evidence, validation rules, and a review queue for ambiguous values.
THE STARTING POINT
Define the fields you need, retain a reference to where each value came from, and validate the result before using it downstream. Route missing, inconsistent, or ambiguous values to review. Extraction should produce a candidate record with evidence, not silently invent missing information.
Specify what each field means
A document can contain several dates, identifiers, or totals. Define which one the workflow needs and how to handle absence. Specify accepted formats, currencies, and relationships between fields. Keep the original document accessible to the authorized reviewer so a transformed value can be checked in context rather than trusted because it looks neatly structured.
Validate beyond the output format
Valid JSON or a filled spreadsheet does not establish that extraction is correct. Check required fields, plausible formats, record matches, and arithmetic relationships where appropriate. A model should not fill a missing purchase-order number by borrowing a nearby identifier. Use explicit missing or uncertain states and avoid sending a candidate directly into a consequential action.
Make review efficient and measurable
Show the proposed value beside its source evidence and explain the failed check. Record corrections and recurring document types that cause problems. Test unreadable scans, unusual layouts, repeated pages, and conflicting values. Measure total handling time including review; fast extraction that creates a large correction queue may not improve the process.
WORKED EXAMPLE / ILLUSTRATIVE
A fictional delivery document
The document includes an order date and a delivery date, but no purchase-order number. The extraction keeps those dates distinct and sends the missing identifier to review. It does not guess that the delivery reference is the purchase order.
| Field | Candidate | Treatment |
|---|---|---|
| Delivery date | 2026-09-18 | Verify against labeled source |
| Purchase-order number | Missing | Review required |
| Item quantity | 12 | Check unit and source line |
MAKE IT USEFUL
Extraction and review contract
Define a field and its failure handling before automating entry.
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Before you put it to work
- Keep source evidence available.
- Do not infer missing identifiers.
- Validate meaning as well as format.
- Measure review effort.
Documents may contain sensitive information or misleading instructions. Use approved data handling and treat document text as input data, not permission to change the workflow.
IF THIS LOOKS FAMILIAR
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The worksheet is yours to use. If the difficult part is making it work with the systems you already have, that's the kind of thing we help with.