Recognises automation evidenced by a manual artefact
automation: automated and the evidence is an e-mail or a sign-off — the automation is not what is evidenced.
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 2 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 92% | Mastered |
| gemini-3.5-flash-lite | Low cost | 12% | Not shown |
| gpt-6-luna | Low cost | 49% | Not shown |
| claude-haiku-5-5 | Low cost | 91% | 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 control and the system evidence needed
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: CT-011 automation: automated, EV-011 "Analyst e-mail confirming totals" Acceptable: The job log with its pass/fail result and the alert on failure
Also known as: Automation claimed, evidence manual
Related knobits
Builds on
All 21 knobits of Map BCBS 239 to controls.
Source: Review checklist 04-regulatory-mapping, row 13 (BCBS P3 (automated where possible); DCAM)