AI governance, security & certification
Leaves the system in a state somebody is willing to sign off.
Which data it was trained on, what it does when it fails and who answers for it — written down before anyone asks.
10 cases across 7 sectors
What it solves
It is the capability with the fewest cases of the eight, and the one that most often decides whether the others reach production. Certifying AI in a scrutinised environment is not signing a piece of paper: it is being able to show which data the system was trained on, what it does when it fails, and who answers for it. Where there is a regulator in the room, this is not an extra you bolt on at the end.
Where it applies
Defence
- On-premise
- Classified environment
- No route out
- Explainable, traceable AI
- Compliance in critical environments
Logistics
- Real time
- WMS · TMS
- Auditing of decision algorithms
Transport
- Traceability
- Real time
- Onboard edge
- Traceability of model decisions
- Evidence logging for audit
Health & pharma
- Sensitive data
- Validation
- Traceability
- AI as a medical device
- Model validation and auditing
Energy
- Critical infrastructure
- Distributed assets
- Compliance for critical infrastructure
Manufacturing
- Nothing stops
- Lives with what is there
- Model risk assessment
Civil & construction
- Mountains of documentation
- Assets that last decades
- Traceability of automated decisions
Talk to us
Do you have a ai governance, security & certification case?
Half an hour. You leave with the problem framed and an honest answer on whether AI is the way to solve it.
Talk to us