Enterprise Services • ES-07
AI Governance
Give AI adoption an accountable structure before scale makes it ungovernable.
Scope
What the engagement covers.
Shadow adoption outruns policy in almost every organization. This service establishes direction, accountability and lifecycle control so AI can be adopted deliberately and evidenced on request.
Included capabilities
- AI governance framework, committee structure and decision rights
- AI policy, acceptable use and standards for staff and delivery teams
- Use-case inventory with risk classification by impact and autonomy
- Lifecycle gates: intake, approval, human oversight, change and retirement
- Control mapping, evidence, issue and action management
Outputs and deliverables
- AI governance framework and committee model
- AI policy, standards and acceptable-use requirements
- Use-case inventory and risk classification model
- AI control catalogue with requirements traceability
Workflow
How it is delivered, step by step.
Each step has an owner, an entry condition and an artefact that has to exist before the next step begins.
01DiscoverInventory use cases, models, data, vendors and regulatory context.
02ClassifyMateriality by impact, autonomy, data sensitivity and deployment context.
03DesignFramework, roles, policy, controls, gates and evidence requirements.
04ImplementIntake workflow, approval gates and oversight in delivery routines.
05SustainReporting, exceptions, re-assessment, retirement and improvement.
Use cases
Where this is typically applied.
Regulated sector preparing for AI-specific supervisory expectations
Organizations discovering widespread unmanaged AI tool use
Delivery model
The operating pattern for Enterprise Services.
The same delivery discipline applies across every capability in this line, so combined engagements stay coherent.
Assess
Current state, obligations, control coverage, gaps and material risks.
Design
Target architecture, control library, policy set, roles and evidence model.
Implement
Build controls into platforms, workflows and delivery pipelines.
Operate
Run the function, or coach the client team while they run it.
Assure
Independent testing, reporting to committee and continuous improvement.
Integration
- Existing GRC, ticketing and ITSM platforms for issue and action flow.
- SIEM, EDR and cloud posture tooling for control evidence.
- HR and identity systems for role, joiner-mover-leaver and access review data.
- Board and committee reporting cycles, so output lands in existing governance.
Engagement approach
Engagements start with a fixed-scope assessment so the client sees findings before committing to a build. Implementation runs in quarterly increments against an agreed roadmap, and any managed element carries a named lead, defined SLA and quarterly service review.
Related
Other capabilities in Enterprise Services.
ES-01
Cybersecurity Assessment & Assurance
Establish what the control environment actually does, not what the policy says it does.
ES-02Security Architecture & Transformation
Design the target state, then sequence the journey so each step is fundable and reversible.
ES-03Incident Readiness & Response
Decide how you will respond before the day you have to.
ES-04Privacy / PDP Programme
Turn personal data protection law into operating routine rather than an annual scramble.
ES-05DPO as a Service
A named, qualified data protection officer function without the cost of building one internally.
ES-06Privacy by Design
Put privacy requirements into the build, where they cost least to satisfy.
ES-08AI Security & Red Teaming
Test AI systems the way an adversary would, then prove the fix.
ES-09GRC Transformation
Replace duplicated spreadsheets with one control library and one evidence trail.
ES-10AI KYB / Risk Intelligence
Know who you are actually contracting with, and what changed since onboarding.
ES-11Tabletop & Executive Training
Rehearse the decisions, not just the technical steps.
ES-12Digital Trust Architecture
Make identity, cryptography, privacy and AI controls fit together as one system.