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Concept dictionary

Due Diligence

Due diligence is a structured investigation of a proposed vendor, system, transaction, or use before commitment, using evidence proportionate to the decision and risk.

Review state
Needs review
Freshness
Current
Version
2

Also called

  • Due Diligence
  • AI Vendor Due Diligence

Remember it this wayVerify the claims before accepting the dependency.

In plain language

The team checks claims about capability, security, privacy, governance, finances, contracts, dependencies, support, and fit rather than relying on a demonstration or sales statement.

Why it matters

AI products can hide shared infrastructure, uncertain data practices, fast-changing features, and unclear responsibility. A disciplined review makes assumptions and residual risk visible.

Example

Before signing, a company reviews the vendor's architecture, terms, data use, evaluations, incidents, subcontractors, service commitments, exit path, and references.

Common misconception

Due diligence is not a questionnaire completed once. Evidence quality, unresolved findings, changed conditions, and decision ownership matter.

Related terms

Sources

Learn more

  • Use [[independent-verification|Independent Verification]] for claims whose source shares the vendor's incentives.

Needs review · last human review 2026-08-14 · content version 2 · visual version 1

Source and POC details

Source: learning-library/glossary/terms/due-diligence/term.md

Source hash: sha256:a24b7b5240a0c6e66691ee7d774c4830a736a61216c4177d01414ed5d842ffda

Media: POC-reviewed evidence; RS AI Learning Lab, Owned production asset.

Open review: Radar consistency rereview is pending for this term.

Release: glossary-team-poc-0.5.5-2026-09-02 · not production approved