On-Demand Leadership to Keep AI Compliant, Controlled, and Moving
Scaling AI requires more than policies and principles; it requires day-to-day governance leadership that can keep pace with delivery teams, satisfy executive oversight, and stand up to regulatory scrutiny. Diligentix provides a Virtual AI Governance Officer (vAIGO): a senior, on-demand governance lead who runs your AI governance function in practice, chairing reviews, managing the AI risk register, enforcing control requirements, and maintaining audit-ready evidence without slowing down delivery.
Primary outcome: AI initiatives progress with speed and control, backed by clear accountability and defensible governance.
What a Virtual AI Governance Officer Does
1) Governance Leadership & Operating Rhythm
We establish and run a practical governance cadence aligned to your delivery lifecycle.
- Define governance forums (AI review boards, risk committees, release gates)
- Chair decision-making meetings and approvals
- Drive governance agendas, actions, and outcomes
- Align governance to product delivery, change control, and MLOps processes
Deliverables: governance calendar, forums and terms of reference, decision logs, action trackers.
2) AI Use Case Intake, Triage & Risk Classification
We control the front door to AI — ensuring use cases enter with clarity and correct risk handling.
- AI use case intake and scoping
- Risk-tier classification (e.g., EU AI Act style tiering)
- Proportionate controls mapped to risk level
- Escalation paths for high-risk systems
Deliverables: use case inventory, classification rationale, risk-control mapping, and intake templates.
3) Risk Register Ownership & Control Tracking
We own or co-own the AI risk register and ensure it stays live, accurate, and actionable.
- Maintain AI risk register and dependency tracking
- Assign risk owners and due dates
- Track remediation actions and control implementation
- Ensure governance outcomes are evidenced and auditable
Deliverables: AI risk register, remediation plan, control status dashboard.
4) Policy, Standards & Guardrails That Teams Actually Use
We translate governance into practical delivery artefacts and templates.
- Delivery-ready standards (model documentation, evaluation, monitoring)
- “Definition of Done” for AI releases
- Human oversight, testing and monitoring requirements
- Third-party AI usage rules and approval workflows
Deliverables: policy suite, control playbooks, engineering checklists, and release gate criteria.
5) Review, Assurance & Audit-Ready Evidence
We build and maintain the evidence trail that regulators, auditors, and boards expect.
- Decision logs and governance minutes
- Control testing and assurance checkpoints
- Traceability requirements (logging, lineage, versioning)
- Board-ready reporting, KRIs and metrics
Deliverables: assurance pack, evidence library, executive reporting templates.
6) Stakeholder Alignment Across Legal, Risk, Security & Delivery
We sit between functions and remove friction so delivery can move safely.
- Partner with Legal, Compliance, InfoSec, Data Governance, and Product
- Resolve ambiguity and reduce review bottlenecks
- Enable faster decisions with clear criteria and evidence-based expectations
- Ensure accountability is clear across the three lines of defence
Who This Is For
- Organisations scaling AI faster than their governance capabilities can grow
- Regulated sectors needing continuous oversight (financial services, insurance, healthcare)
- Companies using multiple AI vendors and tools with unclear accountability
- Transformation programmes where delivery is moving, but risk is unmanaged
- Boards seeking confidence that AI is controlled and defensible
Engagement Models
Rapid Start (2–4 weeks)
Stand up governance rhythm, intake, and risk register management.
Fractional Governance Leadership (Monthly Retainer)
Ongoing chairing of reviews, control tracking, and assurance reporting.
Interim AI Governance Officer (Time-Bound)
Cover for a governance leadership gap during scale-up or regulatory preparation.
Embedded vAIGO for Priority Programmes
Focused governance leadership for high-risk or enterprise-critical AI deployments.
What “Good” Looks Like
By working with a Virtual AI Governance Officer, you gain:
- A functioning governance operating model that teams follow
- A live AI inventory with risk classification and control mapping
- A maintained risk register with clear ownership and remediation
- Faster approvals through standardised evidence and templates
- Audit-ready traceability and board-ready reporting
- Reduced regulatory and reputational exposure — without slowing delivery
Why Diligentix
Most advisory firms stop at policy. Diligentix operationalises governance — aligning executive oversight with delivery reality, and converting requirements into practical control mechanisms and evidence.