Is your document process ready for automation?

Document automation starts with knowing what arrives and what must be checked. A clean sample PDF is not enough to define the production requirement.

Build a representative input set

List the document types, arrival channels, languages, layouts and scanning conditions that occur in the real process. Include incomplete, rotated, faint, multi-page and revised records where those are relevant. Keep the sample proportionate and use an agreed method for confidential material.

Label the sample’s limits. A small set from one supplier does not establish performance across every supplier. If historical documents differ from current ones, separate those groups so a migration requirement does not become an unspoken part of ongoing intake.

Define fields by business use

Field question	Why it matters
What does the field mean?	A document date and a received date are different facts.
Is it mandatory?	Missing critical data may require a hold rather than a guessed value.
Where is the source?	A reviewer needs a way to compare the extracted candidate with the document.
What can validate it?	An approved reference or arithmetic rule may expose a mismatch.
Who resolves conflict?	Contradictory source information needs business ownership.

Create a short field dictionary with examples and permitted formats. Avoid adding fields simply because an extraction service can return them; every collected value needs a purpose.

Keep confidence and correctness separate

Microsoft describes confidence values as estimates associated with supported outputs. They can help prioritise review, but they do not prove a document is genuine or that a transaction is authorised. Some output types may not provide the same confidence information.

Design a review path for critical fields and contradictory evidence even when a result appears confident. Test a plausible wrong value, not only a visibly unreadable scan. Set thresholds using your representative sample and the consequence of an error rather than choosing a reassuring percentage.

Decide what happens after extraction

The useful output may be a review pack, a draft record or an approved system update. Each has different access and acceptance needs. A spreadsheet export can be sufficient for a pilot if the business question is whether fields and review steps are dependable.

For invoice work, keep supplier validation, purchase matching and financial approval distinct. Extracting a bank account from a document must not automatically replace approved supplier master data. The destination and the authority to update it belong in the written scope.

Use a readiness decision

• Ready to pilot: representative inputs, defined fields, review owner and test destination exist.
• Needs preparation: source quality or field definitions are inconsistent but can be corrected.
• Hold the implementation: data authority, decision ownership or the permitted destination is unresolved.

This is an original planning framework, not a vendor maturity score. Record the evidence behind the decision and the specific work needed to move forward.