What should a document AI or document workflow prototype prove first?

It should prove that the system can retrieve the right authorized sources, cite them visibly, draft or extract within a defined answer shape, route uncertain cases to reviewers, and keep high-impact actions blocked until approval.

Can a document workflow prototype be evaluated without private documents?

Yes. Synthetic or redacted fixtures can preserve document structure, missing fields, conflicting evidence, permissions, stale-source behavior, prompt-injection cases, and reviewer decisions without exposing private records.

Which metrics matter beyond answer accuracy?

Track retrieval relevance, citation coverage, permission failures, unsupported answers, refusal behavior, reviewer edit rate, escalation rate, stale-source detection, latency, token cost, and blocked-action outcomes.

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Closeaim Software Solutions

AI and automation · 2026-06-16

Document AI and document workflow prototype evaluation checklist

Document AI and document workflow prototypes should prove retrieval quality, citations, permission safety, reviewer decisions, and blocked production actions before real document stores are connected.

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