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Buyer and evaluator guides

Enterprise AI decision guides

How to choose a deployment, check citations and find out what a system does with no good evidence, before you approve a document AI workflow.

Updated 21 Aug 2026

01

Evidence quality

Evaluate citations claim by claim and test insufficient, stale and contradictory evidence explicitly.

  • Citation review, claim by claim
  • Insufficient-evidence tests
  • Stale-version tests
  • Contradictory-source tests
02

Architecture and deployment

Compare managed and self-hosted responsibilities, then map each data, model, support and operating path.

  • Managed vs self-hosted responsibilities
  • Data path mapping
  • Model and support paths
  • Operating and recovery paths
03

Decision discipline

Keep hard constraints, unknowns, configuration and reviewer dispositions visible rather than reducing a decision to one generic score.

  • Hard constraints kept visible
  • Unknowns tracked, not hidden
  • Configuration recorded
  • Reviewer dispositions logged

What this page does not prove

  1. B1Guides publish methods, not professional advice.
  2. B2Vendor terms and product configurations change.
  3. B3Use current evidence for the proposed release.

Related pages

Plan an evaluation