Building foundational understanding across your organization
1. Executive Briefing (Half-Day)
2. Governance Foundations Workshop (2 Days)
Target: Leadership, compliance, risk management
AI governance principles and frameworks
Regulatory landscape deep-dive
Risk assessment methodologies
Policy development workshop
Deliverable: Draft governance framework outline
3. Technical Observability Training (3 Days)
Target: Data scientists, ML engineers, DevOps
AI observability architecture
Model monitoring implementation
Drift detection and response
Explainability techniques
Hands-on labs with tools
Deliverable: Technical playbook for your stack
4. Ethics & Fairness Bootcamp (2 Days)
Target: Cross-functional teams
Bias detection and mitigation
Fairness metrics and testing
Ethical AI frameworks
Stakeholder engagement
Red teaming exercises
Deliverable: Ethics review checklist
5. Industry-Specific Workshops
Customized for Financial Services, Healthcare, Retail, etc.
Sector regulations and compliance
Industry case studies
Peer benchmarking
Best practices exchange
Deliverable: Industry-specific governance guide
Hands-on support to build your governance program
6. Governance Maturity Assessment (2-4 Weeks)
Current state assessment across all dimensions
Gap analysis against regulatory requirements
Stakeholder interviews
Technology stack evaluation
Benchmarking against peers
Deliverable: Comprehensive assessment report with maturity scoring
7. Governance Framework Design (6-8 Weeks)
Custom governance framework development
Organizational structure and roles definition
Policy and procedure creation
Risk management framework
Compliance roadmap
8. Platform Implementation (1-2 Months)
Platform deployment and configuration
Integration with existing MLOps stack
Dashboard and reporting setup
Alert and workflow configuration
Training for technical teams
Runbook development
Deliverable: Fully operational White Box AI Governance and Observability platform