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EPC Group

Enterprise Microsoft consulting with 28+ years serving Fortune 500 companies.

(888) 381-9725
contact@epcgroup.net
4900 Woodway Drive - Suite 830
Houston, TX 77056

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AI Governance & Responsible AI - EPC Group enterprise consulting

AI Governance & Responsible AI

Enterprise AI strategy, ethical AI frameworks, and compliance for HIPAA, GDPR, and SOC 2 organizations

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 28+ years Microsoft expertise to ensure your organization thrives as well as meets and exceeds all security and compliance standards.

AI Governance Services

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

1

Assess

Inventory AI systems, assess risks, and identify compliance gaps.

2

Design

Build governance policies, approval workflows, and controls.

3

Implement

Deploy tools, train teams, and enforce policies across organization.

4

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 28+ 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

Client Success Stories

See how we've helped enterprise clients implement AI with governance and compliance

"EPC Group transformed our data analytics with Power BI. We now have real-time visibility into patient outcomes and operational efficiency."

Sarah Johnson

Chief Technology Officer

HealthFirst Medical Group

"Power BI Premium implementation gave our 50 hospitals unified reporting. The ROI was realized in the first year."

Robert Williams

CFO

Regional Healthcare System

"EPC Groups Power BI dashboards give us real-time risk visibility across our entire portfolio. SOC 2 compliance was handled flawlessly."

Michael Chen

Chief Risk Officer

Capital Trust Bank

Ready to achieve similar results?

Get Started Today

Deploy AI with Confidence

Let's build your AI governance framework with compliance, ethics, and risk management.

Schedule AI Governance SessionCall: (888) 381-9725

Related Services

Microsoft Copilot

Enterprise Copilot deployment with governance built-in.

Data Governance

Data classification and DLP for AI training data.

Azure AI Services

Azure OpenAI and Machine Learning with governance.

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.