Buyer template · Research verification checklist · Updated 2026-08-15
AI Research Source Verification Checklist
A copyable checklist for deciding whether AI-assisted research has enough traceable, independently checked evidence to support an important decision.
When to use it: Use this before an AI-assisted research summary becomes evidence for a product, vendor, strategy, or other consequential business decision.
Define the decision and evidence bar
- State the decision the research is meant to support and what would materially change that decision.
- Separate facts, inferences, and recommendations so a confident summary does not hide where judgment begins.
- Name the reviewer or decision owner who is accountable for checking the evidence before the conclusion is used.
Trace the material claims
- Attach a source to every claim that could change the decision; do not accept an AI-generated citation list without opening the underlying sources.
- Prefer primary sources for current product, policy, pricing, legal, scientific, or company claims when primary evidence is available.
- Record the source date or version when freshness matters, and flag claims that rely only on secondary summaries or inaccessible material.
Cross-check decisive evidence
- Open the underlying source and confirm it actually supports the claim being made, including important scope, caveats, and exceptions.
- For the most consequential claims, look for an independent source, counterexample, or contradictory evidence instead of only collecting confirming material.
- Record unresolved conflicts and missing evidence explicitly; do not collapse disagreement into one synthetic certainty score.
Hand off a reviewable decision packet
- Summarize the conclusion, the strongest supporting evidence, the important unknowns, and what new evidence would reverse or materially weaken the conclusion.
- Keep a source list or evidence table with enough context that another reviewer can reproduce the decisive checks without rerunning the AI workflow.
- For high-stakes decisions, require the appropriate human, domain, legal, security, or compliance review before acting on the research.
- Set a recheck date when the conclusion depends on fast-changing products, policies, prices, or other time-sensitive facts.
Related workflows
- AI Tools for User Research
A user-research stack for capturing interviews, finding external context, and synthesizing insights without skipping researcher review.
- AI Tools for Workplace Productivity
A suite and inbox productivity stack for teams choosing where AI belongs across email, docs, meetings, and internal knowledge.
Not sure which stack fits first?
Take the stack quiz for a recommended starting point.
The deterministic quiz returns a recommended stack, avoid-for-now guidance, and a rollout note you can carry into this checklist.