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AI-assisted document processing with human review

The business decision

Extracting fields from documents is useful only when the output can be checked and safely sent to the next workflow.

A practical first scope

Start with one document type and a clear schema. Route incomplete or conflicting results to a person rather than silently accepting them.

How to validate it

Evaluate against an anonymised labelled sample. Check access, retention, source references and export behavior before connecting production systems.

When to choose another approach

Do not promise perfect extraction or let a model approve consequential actions without a review boundary.

A proposal should make the boundaries clear.

We scope deliverables, assumptions, exclusions, acceptance checks, responsibilities and support separately. No fixed price or launch date is promised before the requirements are reviewed.

Discuss Your Requirements