Operating model
Roles, routines and criteria for following the system.
Services 2026
Services 2026
MLOps and AIOps
Defines which controls make AI operations observable and governable.
How we deliver
How we deliver
We structure practices to version, observe and respond to changes in AI systems. Controls follow the team’s real criticality, ownership and capacity.
- 01
Inventory the operation
We map models, versions, owners and events relevant to the system.
- 02
Define control routines
We structure observation, traceability and response procedures.
- 03
Transfer governance
We validate roles, records and exception decisions with the accountable team.
Decision
Which controls are necessary to operate this AI system with explicit accountability?
- A team owns the operational routine and exception decisions.
- Environments, records and processes are accessible for observation.
Deliverables
Deliverables
What you receive at the end of each cycle.
Traceability trail
Versions, records and evidence for investigating changes.
Response procedures
Analysis and escalation paths for relevant situations.