DecisionOS — Control · module
Governance
Whether each AI system we run can be seen, verified, supervised and stopped to the standard its consequence level demands.
When you reach for it
Quarterly, as an operating rhythm. Before a board or audit committee. Or after an incident anywhere in the industry, when someone asks whether it could happen here.
What it asks you
3 blocks, in this order. Each one exists for a stated reason, and the run tells you that reason as you answer it.
- 01
The system register
One row per AI system you run. Self-declared — this is not discovery, and the report says so wherever the register appears.
- 02
What each system is
Two facts and the consequence rating. The rating sets what coverage this system needs, and it is cross-checked against the other two rather than taken on trust.
- 03
Coverage, as evidence
Artefacts and dates, not agreement. What can you produce, and when was it last true. The top of each scale cannot be reached without a date, which is what makes a claim checkable — and what makes it decay.
The method
How the result is produced
Each system is assessed on the five Cognitive Coverage dimensions — Visibility, Verifiability, Interruptibility, Escalation Design and Supervision Retention — and each dimension resolves to one of four behaviourally defined levels. A system's actual coverage is the worst of its five dimensions, never the average: an organisation with excellent visibility, excellent verifiability and no stop mechanism does not have four-fifths of a control system. That level is compared against what the system's consequence rating requires, published in the table below. Any control claimed without a recent date is downgraded to claimed-but-unverified. Where the same question was put to more than one role and the answers differ, the disagreement is reported as itself and neither side is declared correct.
What it connects to
Answers established elsewhere are carried in with their age shown, so a stale answer reads as stale rather than being silently reused.