Explains change enablement for data changes
A change is assessed before it is authorised and those affected are informed: each affected object has an owner to notify and an agreed action (ITIL 4 Change enablement, 2020).
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 | 99% | Mastered |
| gemini-3.5-flash-lite | Low cost | 57% | Not shown |
| gpt-6-luna | Low cost | 99% | Mastered |
| claude-haiku-5-5 | Low cost | 99% | 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: A change is assessed before it is authorised and those affected are informed: each affected object has an owner to notify and an agreed action (ITIL 4 Change enablement, 2020).
How it is assessed: Answers a written question on the change enablement correctly
Related knobits
Needed for
- M-602 Recognises an impacted object with no owner to notify
- M-605 Recognises an impacted object with no action
All 9 knobits of Analyse the impact of a change.
Source: Practice the stage 6 reference and review checklist rest on