AI Governance Framework
Define principles, roles, decision rights, committees and lifecycle gates.
ANKH GRC
Secure. Compliant. Future Ready.
Executive-as-a-Service · Ankh GRC
vAI Officer
Innovate with
guardrails.
A cross functional AI governance function that enables responsible adoption through use case oversight, model risk decisions and lifecycle evidence.
ANKH GRC
vAI Officer
GOVERN
ASSESS
ASSURE
IMPROVE
What We Deliver
From obligationto operation.
AI Inventory and Classification
Create visibility of systems, use cases, providers, data, owners and risk tiers.
AI Risk Assessment
Assess impact, fairness, privacy, security, transparency and human oversight.
Responsible AI Controls
Operationalize testing, explainability, review and accountability requirements.
Third-Party AI Oversight
Evaluate external models, platforms and supplier dependencies.
ISO 42001 Readiness
Align AI management practices and evidence to ISO/IEC 42001.
Evidence
Led
Assurance
Evidence Before Opinion
Assurance witha line of sight.
Design assurance
Confirm controls address the stated risk or obligation.
Evidence quality
Assess whether proof is current, complete and attributable.
Issue governance
Track root cause, ownership, actions and closure evidence.
Executive visibility
Present exposure, dependencies and decisions clearly.
Business Outcomes
Built for confidence,not compliance theatre.
Trusted AI adoption
Operational confidence with clear ownership and measurable progress.
Visible AI risk
Operational confidence with clear ownership and measurable progress.
Defensible decisions
Operational confidence with clear ownership and measurable progress.
Responsible scale
Operational confidence with clear ownership and measurable progress.
Next Step
Responsible AI isgovernance made operational.
Practical leadership, defensible evidence and governance that moves into operation.
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Connect executive oversight with practical governance, information security and AI governance support.