AI Governance Framework
Enterprise AI compliance, risk management, and ethics frameworks for Fortune 500. Navigate EU AI Act, HIPAA, SOC 2, and FedRAMP with 28+ years Microsoft expertise.
Why AI Governance Is Critical for Enterprise Success
Without governance, AI creates regulatory violations, security breaches, and reputational damage. Implement frameworks that enable responsible AI deployment at scale.
Risk Mitigation
Reduce AI-related risks including bias, security vulnerabilities, and compliance violations before they impact your business.
Regulatory Compliance
Meet EU AI Act, HIPAA, SOC 2, FedRAMP, and industry-specific requirements with proven governance frameworks.
Accelerated AI Adoption
Deploy AI faster with clear governance guardrails, pre-approved use cases, and streamlined approval workflows.
Stakeholder Trust
Build confidence with customers, regulators, and executives through transparent, auditable AI governance.
Comprehensive AI Governance Framework
Six pillars of enterprise AI governance from risk management to security, covering every aspect of responsible AI deployment.
AI Risk Management
Comprehensive risk assessment, mitigation strategies, and ongoing monitoring for AI systems. Identify bias, security vulnerabilities, and compliance gaps before deployment.
- AI risk assessment & scoring
- Bias detection & mitigation
- Model security testing
- Third-party AI vendor risk
- Continuous risk monitoring
- Incident response protocols
AI Ethics & Fairness
Establish ethical AI principles, fairness testing, and human oversight frameworks. Ensure AI decisions are explainable, unbiased, and aligned with organizational values.
- Ethical AI policy development
- Fairness & bias audits
- Explainable AI (XAI) implementation
- Human-in-the-loop workflows
- Transparency frameworks
- Stakeholder engagement
AI Audit & Monitoring
Real-time AI monitoring, audit trails, and compliance reporting. Track model performance, data lineage, and decision-making processes with complete visibility.
- Automated audit trails
- Model performance tracking
- Data lineage & provenance
- Compliance reporting dashboards
- Anomaly detection & alerts
- Regulatory audit support
AI Policy & Documentation
Develop comprehensive AI governance policies, procedures, and documentation. Create clear guidelines for AI development, deployment, and usage across the organization.
- AI governance policy templates
- Use case approval workflows
- Model documentation standards
- Data governance integration
- Training & awareness programs
- Version control & change management
AI Governance Organization
Establish AI governance teams, roles, and responsibilities. Create AI Centers of Excellence and cross-functional review boards to oversee AI initiatives.
- AI governance committee setup
- Center of Excellence (CoE)
- RACI matrix & responsibilities
- Cross-functional review boards
- AI champion network
- Executive reporting structure
AI Security & Privacy
Protect AI models, training data, and outputs with enterprise-grade security. Ensure HIPAA, GDPR, and SOC 2 compliance for AI systems handling sensitive data.
- Model security & encryption
- Data privacy compliance (GDPR, HIPAA)
- Access controls & authentication
- Secure model deployment
- Privacy-preserving AI (federated learning)
- Adversarial attack prevention
AI Compliance & Regulatory Frameworks
Navigate complex AI regulations including EU AI Act, HIPAA, SOC 2, and FedRAMP with proven compliance frameworks and expert guidance.
EU AI Act Compliance
Navigate the EU AI Act with comprehensive risk classification, conformity assessments, and documentation. Ensure high-risk AI systems meet regulatory requirements.
Key Requirements
- Risk classification (high, limited, minimal)
- Conformity assessment procedures
- Fundamental rights impact assessment
- Technical documentation & record-keeping
- Human oversight requirements
- Transparency & explainability
HIPAA AI Compliance
Deploy AI in healthcare with full HIPAA compliance. Protect PHI, ensure BAAs with AI vendors, and maintain audit trails for AI-assisted clinical decisions.
Key Requirements
- PHI protection in AI training data
- Business Associate Agreements (BAAs)
- Encryption & access controls
- AI decision audit trails
- Risk analysis & management
- Breach notification procedures
SOC 2 AI Controls
Implement SOC 2 controls for AI systems. Demonstrate security, availability, confidentiality, and privacy of AI services to enterprise clients.
Key Requirements
- AI-specific control objectives
- Third-party AI vendor assessments
- Model security testing
- Data privacy controls
- Incident response for AI
- Continuous monitoring & reporting
FedRAMP AI Authorization
Achieve FedRAMP authorization for AI systems serving federal agencies. Meet stringent security controls and continuous monitoring requirements.
Key Requirements
- AI system security categorization
- Security control implementation (800-53)
- Continuous monitoring program
- Independent assessment
- Authorization package preparation
- ConMon & annual assessments
Industry-Specific AI Governance
Tailored governance frameworks for healthcare, financial services, government, and education with deep regulatory expertise and proven implementation experience.
Healthcare
Key Challenges
Clinical AI decisions, PHI protection, FDA medical device regulations
EPC Group Solutions
HIPAA-compliant AI workflows, clinical validation frameworks, BAA management
Financial Services
Key Challenges
Model risk management, explainability for lending, market surveillance AI
EPC Group Solutions
SOC 2 AI controls, SR 11-7 model risk frameworks, explainable AI for credit decisions
Government
Key Challenges
FedRAMP AI authorization, transparency requirements, citizen data protection
EPC Group Solutions
FedRAMP-authorized AI platforms, NIST AI Risk Management Framework, privacy-preserving AI
Education
Key Challenges
Student data privacy (FERPA), algorithmic bias in admissions, AI grading fairness
EPC Group Solutions
FERPA-compliant AI, bias audits for admissions AI, transparent grading algorithms
AI Governance FAQs
Common questions about AI governance frameworks, compliance, and implementation
Q:What is AI governance and why is it important?
AI governance is the framework of policies, processes, and controls that ensure AI systems are developed, deployed, and operated responsibly, ethically, and in compliance with regulations. It's critical because AI decisions can impact lives, create legal liability, and pose security risks. Without governance, organizations face regulatory violations (EU AI Act, HIPAA), reputational damage from biased AI, and security breaches. EPC Group helps Fortune 500 companies implement comprehensive AI governance frameworks with 28+ years of Microsoft ecosystem expertise.
Q:How does the EU AI Act affect my organization?
The EU AI Act (effective 2025) classifies AI systems by risk level and imposes requirements including conformity assessments for high-risk AI, transparency obligations, fundamental rights impact assessments, and technical documentation. Organizations deploying AI in the EU or offering AI services to EU customers must comply. EPC Group provides EU AI Act readiness assessments, risk classification, conformity assessment support, and ongoing compliance monitoring for global enterprises.
Q:What is the difference between AI governance and AI ethics?
AI ethics focuses on moral principles guiding AI development (fairness, transparency, accountability), while AI governance is the operational framework implementing those principles through policies, processes, and controls. Governance includes ethics but also covers risk management, compliance, security, audit trails, and organizational roles. EPC Group integrates ethical AI principles into comprehensive governance frameworks with measurable controls, automated monitoring, and regulatory compliance.
Q:How do you ensure AI compliance in healthcare (HIPAA)?
HIPAA AI compliance requires protecting PHI in training data, securing AI models, obtaining Business Associate Agreements (BAAs) from AI vendors, maintaining audit trails for AI decisions, and implementing access controls. EPC Group deploys HIPAA-compliant AI on Azure with encrypted data stores, private endpoints, BAA-covered AI services (Azure OpenAI), audit logging, and clinical validation workflows for AI-assisted diagnoses or treatment recommendations.
Q:What is explainable AI (XAI) and when is it required?
Explainable AI (XAI) makes AI decisions interpretable to humans, showing why a model made a specific recommendation. It's required by the EU AI Act for high-risk systems, ECOA/FCRA for credit decisions, and increasingly expected by regulators, auditors, and customers. EPC Group implements XAI using techniques like SHAP values, LIME, attention visualization, and decision rule extraction, integrated into governance dashboards for compliance reporting.
Q:How long does it take to implement an AI governance framework?
Basic AI governance (policies, risk assessment, audit workflows) takes 8-12 weeks for initial implementation. Comprehensive governance with compliance automation, monitoring dashboards, and organization-wide rollout typically requires 4-6 months. EPC Group uses proven templates and frameworks to accelerate deployment while ensuring customization for your industry, risk profile, and regulatory requirements. We prioritize high-risk AI systems first for immediate risk reduction.
Deploy Responsible AI with Confidence
Partner with EPC Group to implement comprehensive AI governance frameworks that enable rapid, compliant AI deployment. 28+ years Microsoft expertise, Fortune 500 trust.