Regulatory Complexity
Navigate evolving AI regulations and emerging compliance obligations worldwide.
Govern AI. Build Trust. Enable Innovation.
Enterprise AI
Governance
Framework
Artificial Intelligence is transforming industries and decision-making processes. As organizations accelerate AI adoption, robust governance becomes critical to ensure AI systems remain trustworthy, transparent, secure, compliant, and aligned with business objectives.
Oversight
Assurance
Risk
Control
Governance Architecture
01 / THE NEED
Why
Organizations
Need AI
Governance
Organizations increasingly rely on AI-driven systems for automation, decision-making, customer engagement, risk evaluation, and strategic planning. Without proper governance, AI introduces significant legal, ethical, operational, cybersecurity, and reputational risks.
AI Risk Exposure
Manage risks associated with bias, hallucinations, explainability, model drift, and unintended outcomes.
Data Governance
Ensure AI systems are built on trusted, accurate, secure, and compliant data.
AI Security
Protect AI models and environments against adversarial attacks, prompt injection, and model manipulation.
Transparency & Trust
Provide clear explanations for AI-driven decisions and recommendations.
Third-Party AI Oversight
Manage risks associated with foundation models, AI vendors, and external AI platforms.
Executive Accountability
Establish governance structures that provide board-level visibility and oversight.
Responsible Innovation
Balance innovation with ethical, secure, and responsible AI adoption.
02 / AI GOVERNANCE FRAMEWORK
The 12 Core
Domains Framework
A comprehensive framework covering governance, risk management, compliance, security, ethics, and assurance across the complete AI lifecycle.
AI Governance & Oversight
Establish governance structures, decision-making frameworks, accountability models, and executive oversight for AI programs and initiatives.
AI GOVERNANCE
AI Strategy & Risk Management
Align AI initiatives with organizational objectives while managing strategic, operational, legal, regulatory, and reputational risks.
AI GOVERNANCE
AI Inventory & Use Case Management
Develop an enterprise-wide inventory of AI systems, models, use cases, and associated risk classifications.
AI GOVERNANCE
Regulatory Compliance & Responsible AI
Align AI programs with ISO/IEC 42001, ISO 23894, EU AI Act, NIST AI RMF, OECD AI Principles, and industry-specific requirements.
AI GOVERNANCE
AI Ethics & Responsible AI Principles
Embed fairness, accountability, transparency, safety, inclusiveness, and human-centric AI throughout the AI lifecycle.
AI GOVERNANCE
Data Governance for AI
Ensure data quality, lineage, ownership, privacy, security, retention, and compliance requirements support trustworthy AI.
AI GOVERNANCE
Model Development & Validation
Implement controls governing model development, training, testing, validation, deployment, and retirement.
AI GOVERNANCE
Explainability & Transparency
Ensure AI outputs can be understood, challenged, and explained to regulators, customers, employees, and business stakeholders.
AI GOVERNANCE
AI Security & Adversarial Risk Management
Protect AI systems from prompt injection, data poisoning, model theft, adversarial attacks, unauthorized access, and AI misuse.
AI GOVERNANCE
Human Oversight & Decision Governance
Establish appropriate human review, intervention, escalation, and accountability mechanisms for AI-assisted decisions.
AI GOVERNANCE
Third-Party AI Risk Management
Assess and monitor AI vendors, foundation models, SaaS AI providers, cloud platforms, and external AI services.
AI GOVERNANCE
AI Monitoring, Assurance & Continuous Compliance
Continuously monitor performance, bias, drift, security, compliance, and operational risk throughout the AI lifecycle.
AI GOVERNANCE
03 / GLOBAL COVERAGE
Global AI
Governance
Coverage
Aligned with leading international standards, regulations, and responsible AI frameworks.
International Standards
- ISO/IEC 42001
- ISO 23894
- ISO 27001
- ISO 27701
- ISO 31000
European Union
- EU AI Act
- GDPR
- Digital Services Act
United States
- NIST AI Risk Management Framework
- Executive AI Guidance
- Sector-Specific AI Requirements
United Kingdom
- UK AI Principles
- ICO AI Guidance
Middle East
- UAE AI Governance Principles
- UAE Responsible AI Guidance
- Saudi AI Ethics Principles
Global Frameworks
- OECD AI Principles
- UNESCO AI Ethics Framework
- Future Regulatory Frameworks
04 / ANKH GRC SERVICES
Ankh GRC AI
Governance Services
Helping organizations operationalize responsible, secure, and compliant AI.
AI Governance Maturity Assessment
Measure current governance maturity and identify capability gaps.
ANKH GRC SERVICES
AI Risk Assessments
Evaluate AI-related legal, regulatory, ethical, privacy, cybersecurity, and operational risks.
ANKH GRC SERVICES
Responsible AI Framework Development
Develop policies, standards, procedures, and governance structures.
ANKH GRC SERVICES
ISO/IEC 42001 Readiness
Prepare organizations for AI Management System implementation and certification readiness.
ANKH GRC SERVICES
AI Vendor Risk Assessments
Perform third-party AI due diligence and risk evaluations.
ANKH GRC SERVICES
AI Policy Development
Design enterprise-wide AI governance and responsible AI policies.
ANKH GRC SERVICES
AI Governance Office Implementation
Establish governance committees, reporting structures, and accountability models.
ANKH GRC SERVICES
AI Assurance Reviews
Conduct independent reviews of AI systems, controls, and governance practices.
ANKH GRC SERVICES
05 / BUSINESS OUTCOMES
Business
Outcomes
Deliver trusted, scalable, and compliant AI adoption.
Regulatory Readiness
Prepare for evolving AI regulations and compliance obligations.
Responsible Innovation
Accelerate AI adoption while maintaining appropriate safeguards.
Risk Reduction
Reduce legal, regulatory, operational, and reputational exposure.
Enhanced Trust
Strengthen confidence among customers, regulators, employees, and investors.
Executive Visibility
Provide leadership with measurable oversight over AI initiatives.
Sustainable AI Adoption
Enable long-term, scalable AI transformation programs.
Competitive Advantage
Differentiate through trustworthy and responsible AI practices.
Strong Governance
Integrate AI seamlessly into enterprise governance, risk, and compliance frameworks.
06 / WHY ANKH GRC
Why Ankh GRC
Ankh GRC combines expertise in Governance, Risk, Compliance, Cybersecurity, Privacy, AI Governance, Internal Audit, Third-Party Risk Management, and Regulatory Compliance to help organizations establish practical, scalable, and business-oriented AI governance programs.
Our approach bridges the gap between innovation and assurance, helping organizations adopt AI confidently while maintaining security, trust, and accountability.
07 / NEXT STEP
Build Trustworthy
AI at Scale
Whether your organization is exploring Generative AI, implementing AI-powered business solutions, establishing an AI Governance Office, preparing for ISO/IEC 42001 readiness, or responding to emerging AI regulations, Ankh GRC can help you operationalize AI governance that enables innovation while managing risk.
Contact Ankh GRC Today