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Reviewed visual · version 2

RS Glossary

AI Candidate

An AI candidate is a specific task or step that someone has flagged as a possible fit for AI and queued for examination — the process it sits in, the data it uses, the risks it carries, and who would review the result.

It records a question. It is not a recommendation yet.

Review state
Reviewed in POC
Freshness
Current
Version
3
  • ai-candidate

Remember it this wayA candidate is a question to investigate, not an answer already chosen.

In plain language

An AI candidate is an idea worth investigating, not a decision to use AI. The team still needs to understand the work, the information involved, the risks, and who will review the result.

Why it matters

Not every friction point is an AI opportunity.

Some friction is better handled through clearer process design, training, data cleanup, system configuration, or simpler automation.

Example

Summarizing long intake notes may be an AI candidate if the notes are reliable, privacy risks are understood, and a human reviews the summary before action is taken.

Common misconception

Calling something an AI candidate does not mean AI is the best solution. It means the idea has enough potential to examine without skipping discovery, risk review, or simpler alternatives.

Related terms

Not connected yet.

Sources

No sources recorded yet.

Learn more

No learning links recorded yet.

Public history

28 recorded events · 28 public summaries
  1. Existing glossary content was moved into the unified source-of-truth structure without changing its learner-facing body.

  2. A captured draft entered section-level human review without changing its existing wording.

  3. Missing required wording was proposed while preserving the captured draft.

  4. Radar reviewed the definition section for human consideration.

  5. Radar reviewed the plain-language-explanation section for human consideration.

  6. Radar reviewed the why-it-matters section for human consideration.

  7. Radar reviewed the example section for human consideration.

  8. Radar reviewed the common-misconception section for human consideration.

  9. Radar reviewed the remember-it-this-way section for human consideration.

  10. Radar reviewed the related-terms section for human consideration.

  11. Radar reviewed the sources section for human consideration.

  12. Radar reviewed the learn-more section for human consideration.

  13. definition approved by a human reviewer.

  14. plain-language-explanation approved by a human reviewer.

  15. why-it-matters approved by a human reviewer.

  16. example approved by a human reviewer.

  17. common-misconception approved by a human reviewer.

  18. remember-it-this-way approved by a human reviewer.

  19. related-terms approved by a human reviewer.

  20. sources approved by a human reviewer.

  21. learn-more approved by a human reviewer.

  22. plain-language-explanation approved wording became the current section text.

  23. common-misconception approved wording became the current section text.

  24. remember-it-this-way approved wording became the current section text.

  25. sources approved wording became the current section text.

  26. learn-more approved wording became the current section text.

  27. All section gates are approved; content version 2 is now a fully approved term.

  28. Definition review recorded as replace.

Source: vault/Glossary/terms/ai-candidate/term.md · sha256:dee43ca4d9615384679e57baf8d25f760942fe250fcf61a1549dc3bda359bf80 · Release: rs-glossary-glossary-team-poc-0.5.5-2026-09-02