AI Governance & Responsible AI

AI Policy Development

EPC Group creates tailored enterprise AI usage policies and governance frameworks that meet your industry's regulatory needs. Our comprehensive policies include:

• Model procurement
• Training data standards
• Deployment approvals
• Ongoing monitoring obligations

These frameworks are designed to scale from pilot AI projects to organization-wide rollouts, supporting 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 protect your organization from reputational and legal risks. EPC Group utilizes Microsoft's Responsible AI tools and custom assessment methods. This approach ensures that AI outputs are fair, explainable, and aligned with your corporate values.

We integrate responsible AI checkpoints at every stage of the AI lifecycle, including:

• Data collection
• Model training
• 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

We provide AI-specific risk assessments, security controls, and incident response planning tailored for enterprise environments. AI failures can lead to serious financial, legal, or safety issues.

EPC Group quantifies AI risk using established frameworks, including:

• NIST AI RMF
• ISO 42001

We deliver executive-ready risk registers and mitigation roadmaps. Our approach also tackles risks from adversarial attacks, prompt injection, data poisoning, and model hallucination.

• • 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

EPC Group provides end-to-end MLOps pipelines, model versioning, performance monitoring, and retraining schedules. These tools give your organization complete visibility into every AI model in production.

We build governed model lifecycles using Azure Machine Learning and industry-standard MLOps practices. This ensures that every model is:

• Documented
• Approved
• Continuously validated

We also establish clear ownership, approval gates, and rollback procedures. This guarantees that 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

EPC Group provides comprehensive audit trails, compliance documentation, and regulatory reporting. These solutions meet the needs of both internal and external auditors.

We create audit-ready AI governance programs that include:

• Immutable logging
• Automated evidence collection
• Pre-built report templates for HIPAA, SOC 2, GDPR, and EU AI Act requirements

Our compliance frameworks can reduce audit preparation time by up to 60%. They also ensure there are 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 are crucial for developing and deploying AI models. EPC Group utilizes Microsoft Purview and Azure data services to guarantee that each dataset for AI training is:

• Cataloged
• Classified
• Compliant with regulations

• We implement automated data quality checks.
• We manage consent effectively.
• We enforce cross-border transfer controls to prevent compliance violations.

Copilot answer quality depends on the SharePoint and Dataverse content it draws from, so we govern that content before deploying Copilot: applying sensitivity labels, retiring outdated content, and fixing broken metadata that affects AI answer quality.

• • 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