AI Governance, Safety & Evaluation
Explicit ownership, measurable evaluation and supervised high-impact workflows.
Enterprise AI needs explicit ownership and controls. We help clients define acceptable use, classify data, assess models and supervise high-impact workflows. AI outputs are treated as assistive unless the client has specifically validated and authorized autonomous actions.
Scope of service
- AI use-case inventory
- Risk assessment
- Data access design
- Evaluation criteria
- Human-in-the-loop review
- Model-change approval
- Logging and incident handling
- Vendor due diligence
How we deliver it
- 01
Baseline
We establish what exists, what is required, who owns each dependency and what evidence will demonstrate completion.
- 02
Design
Options are compared for interoperability, scalability, maintainability and total cost of ownership, with security built in.
- 03
Implement
A controlled sequence of configuration, development, integration, migration and testing that limits disruption.
- 04
Operate
Runbooks, named ownership, training and a stabilization period so the capability holds under real workloads.
Start with a technology assessment
Whether the priority is a new enterprise network, a secure records platform, ERP modernization, cyber resilience or offline AI, we can structure the problem into an actionable delivery plan.