Enterprise AI compliance, risk management, AI governance model auditing and ethics frameworks for Fortune 500 as well as companies of all shapes and sizes. Whether you are deploying Microsoft Copilot or building custom AI on Azure, EPC Group understands how to navigate the EU AI Act, HIPAA, SOC 2, and FedRAMP with 29 years Microsoft expertise to ensure your organization thrives as well as meets and exceeds all security and compliance standards.
AI Governance Services
AI Governance Service Sections
AI Policy Development
Enterprise AI usage policies, acceptable use guidelines, and governance frameworks tailored to your industry's regulatory requirements. EPC Group develops comprehensive policies that cover model procurement, training data standards, deployment approvals, and ongoing monitoring obligations. Our policy frameworks are built to scale from pilot AI projects to organization-wide rollouts across thousands of users.
- • AI acceptable use policy with role-based access controls
- • Data handling guidelines for PII, PHI, and proprietary datasets
- • Model approval and procurement review process
- • Risk assessment framework aligned to NIST AI RMF
- • Shadow AI detection and sanctioned tool governance
- • Executive reporting dashboards for policy compliance metrics
Responsible AI
Ethical AI principles, bias detection, fairness testing, and transparency frameworks that protect your organization from reputational and legal risk. EPC Group implements Microsoft's Responsible AI tooling alongside custom assessment methodologies to ensure AI outputs are fair, explainable, and aligned with your corporate values. We embed responsible AI checkpoints into every stage of the AI lifecycle, from data collection through production deployment.
- • Fairness assessments across protected demographic attributes
- • Automated bias detection and mitigation pipelines
- • Explainability testing with SHAP, LIME, and model cards
- • Human-in-the-loop design for high-stakes decision workflows
- • Ethical review board setup and operating procedures
- • Transparency reports and stakeholder communication templates
Risk Management
AI-specific risk assessments, security controls, and incident response planning designed for enterprise environments where AI failures can have significant financial, legal, or safety consequences. EPC Group quantifies AI risk using industry-standard frameworks including NIST AI RMF and ISO 42001, delivering executive-ready risk registers and mitigation roadmaps. Our approach addresses adversarial attacks, prompt injection, data poisoning, and model hallucination risks.
- • Risk scoring matrices with impact and likelihood quantification
- • Security threat modeling for adversarial AI and prompt injection
- • AI-specific incident response plans and escalation procedures
- • Privacy impact assessments (PIA/DPIA) for AI data processing
- • Third-party AI vendor risk assessments and due diligence
- • Business continuity planning for AI system failures and outages
Model Governance
End-to-end MLOps pipelines, model versioning, performance monitoring, and retraining schedules that give your organization full visibility into every AI model in production. EPC Group builds governed model lifecycles using Azure Machine Learning and industry-standard MLOps practices, ensuring every model is documented, approved, and continuously validated. We establish clear ownership, approval gates, and rollback procedures so no model reaches production without proper oversight.
- • Centralized model registry with metadata and lineage tracking
- • Version control with approval gates and rollback capabilities
- • Real-time performance monitoring with SLA-based alerting
- • Data and concept drift detection with automated retraining triggers
- • Model documentation standards including model cards and datasheets
- • Decommissioning workflows for retiring outdated or underperforming models
Audit & Compliance
Comprehensive audit trails, compliance documentation, and regulatory reporting that satisfy the most demanding internal and external auditors. EPC Group builds audit-ready AI governance programs with immutable logging, automated evidence collection, and pre-built report templates for HIPAA, SOC 2, GDPR, and EU AI Act requirements. Our compliance frameworks reduce audit preparation time by up to 60% while ensuring no gaps in documentation or controls.
- • Immutable audit trail logging for all AI decisions and data access
- • Automated compliance report generation for SOC 2, HIPAA, and GDPR
- • Model documentation with training data provenance and validation records
- • Regulatory filing preparation and submission support
- • Internal audit program design with AI-specific control testing
- • Continuous compliance monitoring with gap alerting and remediation tracking
Data Governance
Training data quality, data lineage, and data residency controls specifically designed for AI model development and deployment. EPC Group leverages Microsoft Purview and Azure data services to ensure every dataset used in AI training is cataloged, classified, and compliant with applicable regulations. We implement automated data quality checks, consent management, and cross-border transfer controls that prevent compliance violations before they occur.
- • Training data validation with automated quality scoring and anomaly detection
- • End-to-end data lineage tracking from source through model output
- • Data residency and sovereignty controls for multi-region deployments
- • PII/PHI detection, masking, and de-identification for AI training pipelines
- • Consent management and data subject rights automation (GDPR/CCPA)
- • Synthetic data generation strategies for privacy-preserving model training
Our AI Governance Framework
Assess
Inventory AI systems, assess risks, and identify compliance gaps.
Design
Build governance policies, approval workflows, and controls.
Implement
Deploy tools, train teams, and enforce policies across organization.
Monitor
Continuous monitoring, audits, and improvement cycles.
Industry-Specific AI Compliance
Healthcare AI (HIPAA)
AI governance for clinical decision support, diagnostic models, and patient data analysis. Read our detailed HIPAA-compliant AI risk assessment guide and our comprehensive AI Governance Framework for Healthcare covering risk assessment, clinical validation, and BAA requirements.
- • PHI de-identification in training data
- • Explainable AI for clinical decisions
- • FDA regulations for medical AI
- • Physician oversight requirements
Financial AI (SOC 2)
AI governance for fraud detection, credit scoring, and algorithmic trading systems.
- • Model risk management (SR 11-7)
- • Fair lending compliance (ECOA)
- • Model documentation & validation
- • Bias testing for credit models
Government AI (FedRAMP)
AI governance for defense, intelligence, and civilian agency AI applications.
- • NIST AI Risk Management Framework
- • DoD Responsible AI principles
- • IL4/IL5 data handling
- • Adversarial robustness testing
EU AI Act Compliance
Prepare for EU AI Act requirements for high-risk AI systems and prohibited uses.
- • Risk classification (high/low)
- • Conformity assessments
- • Technical documentation
- • Post-market monitoring
Microsoft AI Governance Tools
Azure AI Content Safety
Detect harmful content, hate speech, violence, and self-harm in AI outputs.
Azure Machine Learning
Model registry, experiment tracking, and MLOps pipelines with governance.
Microsoft Purview AI Hub
Centralized AI asset discovery, classification, and compliance tracking.
Why EPC Group for AI Governance?
Chief AI Architect: Led by Errin O'Connor with 29 years Microsoft ecosystem expertise.
Compliance Leadership: Built AI governance frameworks for HIPAA, SOC 2, and FedRAMP organizations.
Responsible AI Pioneer: Early adopter of Microsoft Responsible AI principles and tooling.
Enterprise-Proven: Fortune 500 AI deployments with audit-ready governance documentation.
Client Success Stories
See how we've helped enterprise clients implement AI with governance and compliance
"The AI strategy consulting from EPC Group positioned us ahead of competitors. Our VCAIO service has been transformational."
Lisa Wang
Director of Digital Strategy
Retail Dynamics Corp
"AI governance framework ensures our clinical AI tools meet regulatory requirements. EPC Group expertise was invaluable."
Victor Ellis
Chief AI Officer
Healthcare Systems Inc
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Related Resources
AI Governance Framework for Enterprise
Build a comprehensive AI governance framework covering ethics, compliance, risk management, and responsible AI deployment.
Microsoft Purview Data Governance Guide
Implement Microsoft Purview for data classification, sensitivity labels, and compliance across your AI and data estate.
HIPAA-Compliant Microsoft 365
Configure Microsoft 365 for HIPAA compliance including BAAs, PHI encryption, audit logging, and access controls for healthcare.
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AI Governance Services
EPC Group builds governance-first AI programs for enterprises deploying Microsoft Copilot, Azure OpenAI, and Power Platform AI. Our frameworks cover NIST AI RMF, EU AI Act, ISO 42001, HIPAA, SOC 2, and FedRAMP. Zero governance audit failures across 11,000+ enterprise engagements. Fixed-fee accelerators available.
Key facts
- Zero governance audit failures across 11,000+ enterprise engagements.
- Frameworks supported: NIST AI RMF 1.0, EU AI Act, ISO 42001, HIPAA, SOC 2, FedRAMP, CMMC.
- AI Governance Implementation: $100,000–$300,000 (12–24 weeks).
- AI Readiness Assessment: $25,000–$75,000 (4–6 weeks).
- EPC Group holds core Microsoft Solutions Partner designations. 29 years of Microsoft consulting experience.
AI governance service areas
AI policy development
We build enterprise AI policies covering acceptable use, prohibited use cases, human oversight requirements, and incident reporting. Policies are aligned to NIST AI RMF and EU AI Act requirements. They cover Microsoft Copilot, Azure OpenAI, and custom AI models.
Responsible AI
We implement Microsoft's Responsible AI principles across your AI program: fairness, transparency, accountability, safety, privacy, and inclusiveness. Each principle maps to specific technical controls inside Azure AI and Power Platform.
Risk management
We apply the NIST AI RMF (Govern, Map, Measure, Manage) framework to your AI deployments. We identify high-risk AI use cases, assess likelihood and impact, and design mitigating controls. We document everything in an AI risk register.
Model governance
We implement model risk management controls for Azure OpenAI and custom machine learning models. Controls include model versioning, performance monitoring, drift detection, bias testing, and retraining triggers. Audit trails document every model decision for regulated industries.
Audit and compliance
We build audit-ready AI governance programs with immutable logging, automated evidence collection, and pre-built report templates for HIPAA, SOC 2, GDPR, and EU AI Act requirements. Your compliance team gets evidence packages, not explanation documents.
Data governance for AI
Copilot grounding quality depends on SharePoint and Dataverse data quality. We remediate content governance before Copilot deployment — applying sensitivity labels, retiring stale content, and fixing broken metadata that degrades AI answer quality.
NIST AI RMF implementation
The NIST AI Risk Management Framework (AI RMF 1.0) is the de facto U.S. federal AI governance baseline. It is increasingly required by state, local, and regulated commercial buyers. EPC Group's NIST AI RMF implementation covers the four core functions:
- Govern — establish AI governance policies, roles, and accountabilities.
- Map — identify and categorize AI use cases by risk level.
- Measure — assess AI system performance, bias, and impact metrics.
- Manage — implement controls, monitor outcomes, and respond to incidents.
EU AI Act compliance
Enterprises using Microsoft Copilot, Azure OpenAI, or Power BI Copilot in EU jurisdictions must address EU AI Act requirements. Key obligations include:
- AI system inventory and risk classification (Article 6).
- Data governance documentation (Article 10).
- Technical documentation (Article 11).
- Record-keeping (Article 12).
- Transparency disclosures to users (Article 13).
- Human oversight mechanisms (Article 14).
- Accuracy and robustness controls (Article 15).
- Post-market monitoring plan (Article 17).
- Conformity assessment where required (Article 43).
EPC Group builds EU AI Act compliance documentation packages as a fixed-fee service. Packages are deliverable within 6–8 weeks for organizations deploying standard Microsoft AI services.
Our 7-pillar AI governance framework
- Model Risk Management — risk classification, model cards, and audit trails.
- Responsible AI principles — fairness, transparency, and accountability controls.
- Data governance — content remediation and sensitivity labeling before AI deployment.
- Security and privacy controls — encryption, private endpoints, and DLP for AI outputs.
- Bias detection and mitigation — automated fairness testing on model outputs.
- Explainable AI — human-readable explanations for AI-generated decisions.
- Continuous monitoring — drift detection, performance dashboards, and incident alerts.
Frequently asked questions
What is AI governance?
AI governance is the set of policies, processes, and technical controls that manage how AI systems are built, deployed, monitored, and retired. It covers risk management (NIST AI RMF), compliance (EU AI Act, HIPAA, SOC 2), and responsible AI principles (fairness, transparency, accountability).
Does EPC Group help with EU AI Act compliance?
Yes. EPC Group builds EU AI Act compliance documentation packages for enterprises using Microsoft Copilot, Azure OpenAI, or Power Platform AI in EU jurisdictions. We cover Articles 6, 10, 11, 12, 13, 14, 15, 17, and 43. Fixed-fee packages are deliverable in 6–8 weeks.
What is the NIST AI RMF?
The NIST AI Risk Management Framework (AI RMF 1.0) is the U.S. government's standard for AI governance. It defines four functions: Govern, Map, Measure, and Manage. It is the de facto baseline for federal agencies and regulated commercial buyers in 2026. EPC Group maps all AI deployments to the AI RMF.
How much does AI governance implementation cost?
AI Readiness Assessment: $25,000–$75,000 (4–6 weeks). AI Governance Implementation: $100,000–$300,000 (12–24 weeks). EU AI Act compliance package: fixed-fee, contact EPC Group for scope-specific pricing. Ongoing AI governance monitoring is available as a managed service.
What Microsoft AI services does EPC Group govern?
Microsoft Copilot for M365, Copilot Studio, Azure OpenAI Service, Power BI Copilot, AI Builder, and custom Azure Machine Learning models. We also govern AI-adjacent systems like Microsoft Purview (data governance) and Microsoft Defender (AI security monitoring).
Schedule a consultation
EPC Group builds governance-first AI programs for enterprises navigating NIST AI RMF, EU AI Act, and HIPAA. Deploy Microsoft Copilot and Azure AI with confidence. Call (888) 381-9725 or request a discovery call.