---
title: "Use-case record"
description: "The intake record for a proposed AI use: business context, intended purpose and the uses ruled out, affected persons, decision authority, success metrics and error appetite, stored as fields on the…"
canonical: https://aigovernanceengineer.com/glossary/use-case-record
author: "Jorge García Aibar"
license: "CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)"
doi: https://doi.org/10.5281/zenodo.22956197
version: "0.5.0"
updated: 2026-09-25
---

# Use-case record

The intake record for a proposed AI use: business context, intended purpose and the uses ruled out, affected persons, decision authority, success metrics and error appetite, stored as fields on the registry entry so classification, thresholds, tests and impact assessments read the same facts [1].

- Developed in: [ch. 14, The use-case record](https://aigovernanceengineer.com/bok/governing-development#the-use-case-record); [ch. 06, Intake and classification](https://aigovernanceengineer.com/bok/the-role#intake-and-classification); [ch. 05, Pattern: Use-Case Intake & Risk Tiering](https://aigovernanceengineer.com/patterns/use-case-intake-risk-tiering)
- Chapters: [ch. 05, Patterns](https://aigovernanceengineer.com/bok/patterns) · [ch. 06, The Role](https://aigovernanceengineer.com/bok/the-role) · [ch. 14, Development](https://aigovernanceengineer.com/bok/governing-development)
- In the glossary chapter: https://aigovernanceengineer.com/bok/glossary#t-use-case-record

## Sources

[1] Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1 (risk tolerance and residual risk; seven trustworthy characteristics; transparency answers "what happened", explainability "how", interpretability "why"; MAP 1.1 intended purposes; MANAGE 1.1 go/no-go determination; profiles). NIST. 2023-01-26. https://doi.org/10.6028/NIST.AI.100-1 (verified: primary)