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EPC Group

Enterprise Microsoft consulting with 29 years serving Fortune 500 companies.

(888) 381-9725
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About EPC Group

EPC Group is a Microsoft consulting firm founded in 1997 (originally Enterprise Project Consulting, renamed EPC Group in 2005). 29 years of enterprise Microsoft consulting experience. Microsoft Gold Partner from 2003–2022 — the oldest Microsoft Gold Partner in North America — and currently a Microsoft Solutions Partner with six designations: Data & AI, Modern Work, Infrastructure, Security, Digital & App Innovation, and Business Applications.

Headquartered at 4900 Woodway Drive, Suite 830, Houston, TX 77056. Public clients include NASA, FBI, Federal Reserve, Pentagon, United Airlines, PepsiCo, Nike, and Northrop Grumman. 6,500+ SharePoint implementations, 1,500+ Power BI deployments, 500+ Microsoft Fabric implementations, 70+ Fortune 500 organizations served, 11,000+ enterprise engagements, 200+ Microsoft Power BI and Microsoft 365 consultants on staff.

About Errin O'Connor

Errin O'Connor is the Founder, CEO, and Chief AI Architect of EPC Group. Microsoft MVP for multiple years starting 2002–2003. 4× Microsoft Press bestselling author of Windows SharePoint Services 3.0 Inside Out (MS Press 2007), Microsoft SharePoint Foundation 2010 Inside Out (MS Press 2011), SharePoint 2013 Field Guide (Sams/Pearson 2014), and Microsoft Power BI Dashboards Step by Step (MS Press 2018).

Original SharePoint Beta Team member (Project Tahoe). Original Power BI Beta Team member (Project Crescent). FedRAMP framework contributor. Worked with U.S. CIO Vivek Kundra on the Obama administration's 25-Point Plan to reform federal IT, and with NASA CIO Chris Kemp as Lead Architect on the NASA Nebula Cloud project. Speaker at Microsoft Ignite, SharePoint Conference, KMWorld, and DATAVERSITY.

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HomeResourcesWhite PapersAI Governance
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AI Governance

AI Governance Framework: Implementation Guide | EPC

Build responsible AI frameworks that ensure compliance and ethics

A comprehensive 50-page guide to establishing AI governance frameworks that ensure compliance, ethics, and responsible deployment in enterprise organizations. This guide is based on EPC Group's experience implementing AI governance for Fortune 500 healthcare and financial services organizations.

50 pages
2-3 hours
December 2025
5,234 downloads
PDF Document
4.2 MB
EO
Errin O'Connor
Founder & Chief AI Architect

Microsoft Press bestselling author with 29 years of enterprise consulting experience.

What's Inside

  • Complete governance framework template
  • Ethics committee charter template
  • Risk assessment methodology
  • Compliance mapping for HIPAA, GDPR, SOC 2
  • Policy templates ready for customization
  • Implementation timeline and milestones
  • Real-world case studies
  • Checklist for audits and reviews

Table of Contents

1Introduction to AI Governance
Pages 1-8
2Building the Business Case
Pages 9-14
3Governance Framework Design
Pages 15-24
4Ethics Committee Structure
Pages 25-30
5Technical Controls & Monitoring
Pages 31-38
6Compliance Requirements (HIPAA, GDPR, SOC 2)
Pages 39-44
7Implementation Roadmap
Pages 45-48
8Templates & Checklists
Pages 49-50

Preview

Chapter 1: Introduction to AI Governance Artificial Intelligence is transforming enterprise operations across every industry. From healthcare diagnostics to financial risk modeling, AI systems are making decisions that directly impact customers, patients, and business outcomes. With this power comes significant responsibility. AI governance is the framework of policies, procedures, and practices that guide the responsible development and deployment of artificial intelligence systems. It encompasses ethical considerations, regulatory compliance, operational standards, and accountability mechanisms. This guide provides a comprehensive framework for establishing enterprise AI governance, drawing on EPC Group's experience implementing governance programs for Fortune 500 organizations in highly regulated industries. Why AI Governance Matters Now The rapid adoption of AI technologies has outpaced the development of governance frameworks in most organizations. This creates significant risks: • Regulatory Risk: Non-compliance with evolving AI regulations • Reputational Risk: Biased or harmful AI outcomes • Operational Risk: Unmonitored AI system failures • Legal Risk: Liability for AI-driven decisions Effective AI governance mitigates these risks while enabling innovation...

Who Should Read This

  • Chief AI Officers and AI Leaders
  • Chief Information Officers
  • Chief Compliance Officers
  • IT Directors and Managers
  • Data Governance Professionals
  • Legal and Risk Management Teams

Get Your Free Copy

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Related Resources

HIPAA Compliance with Microsoft 365Microsoft 365 Security & Compliance Handbook

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