Service 06 · Responsible AI, Governance & Security
Enable innovation with proportionate controls, transparent accountability and secure engineering.
Policy pressure, shadow AI and regulated use cases stall adoption when governance arrives late and heavy. We design proportionate controls into intake, build, release and operation, so responsible use enables delivery instead of blocking it.
Business trigger
Policy pressure, shadow AI or regulated use cases
Outcome
Controlled adoption with clear accountability and safeguards
Services included
Scope
- AI policy, standards and acceptable-use design
- Use-case intake, classification and approval workflows
- Model/vendor risk and due diligence
- Privacy, security and data protection by design
- Evaluation for quality, safety, bias and robustness
- Human oversight, auditability and incident response
- Regulatory readiness and evidence packs
Typical deliverables
Artifacts
- AI policy and control framework
- Use-case and model inventory
- Risk-tiering method and approval workflow
- Threat model and control requirements
- Evaluation scorecards and release criteria
- Audit trail and incident playbook
Deliverables are named artifacts: roadmaps, architectures, controls, training and runbooks. Not slideware.
Where this service earns its keep
Representative use cases
- Use-case intake and approval
- Vendor and model due diligence
- Regulated-workflow evaluation
- Incident response readiness
Delivery follows our eight-stage, gate-checked model: discovery and value proof before build, adoption and transfer before we call anything done. See how we work →