Recognises a data quality issue past its target with no escalation
An open issue past the policy's target, not escalated.
Can AI do this?
AI does this well Most of the tested AI models master this. 3 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 97% | Mastered |
| gemini-3.5-flash-lite | Low cost | 2% | Not shown |
| gpt-6-luna | Low cost | 95% | Mastered |
| claude-haiku-5-5 | Low cost | 98% | Mastered |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The escalation along the policy's route
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: IS-006 open since 2025-11-20, high, target 30 days, escalated: false Acceptable: Escalated to the data governance council
Also known as: Past its target with no escalation
Related knobits
Builds on
All 9 knobits of Manage data quality issues.
Source: Review checklist 06-issue-management, row 6 (DMBOK §2.6 (escalation))