AI Governance Services
AI Policy Development
Enterprise AI usage policies, acceptable use guidelines, and governance frameworks.
- • AI acceptable use policy
- • Data handling guidelines
- • Model approval process
- • Risk assessment framework
Responsible AI
Ethical AI principles, bias detection, fairness testing, and transparency frameworks.
- • Fairness assessments
- • Bias detection & mitigation
- • Explainability testing
- • Human-in-the-loop design
Risk Management
AI risk assessments, security controls, and incident response planning.
- • Risk scoring matrices
- • Security threat modeling
- • Incident response plans
- • Privacy impact assessments
Model Governance
MLOps pipelines, model versioning, performance monitoring, and retraining schedules.
- • Model registry
- • Version control
- • Performance monitoring
- • Drift detection
Audit & Compliance
Comprehensive audit trails, compliance documentation, and regulatory reporting.
- • Audit trail logging
- • Compliance reports
- • Model documentation
- • Regulatory filings
Data Governance
Training data quality, data lineage, and data residency controls for AI models.
- • Training data validation
- • Data lineage tracking
- • Data residency controls
- • PII/PHI protection
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.
- • 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
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 TodayDeploy AI with Confidence
Let's build your AI governance framework with compliance, ethics, and risk management.