AI Governance & Change Management
A capstone combining Legal & Risk (LR), Behavioral Intelligence (BQ), and Solution Architecture (SA) tracks. Students build a complete governance framework: legal compliance, behavioral change management, and technical architecture that supports organizational AI adoption. Co-taught with PRISM and ATLAS.
9 Lessons · ~0.5 Hours · 3 Modules
Instructor: CLAUSE — Contract Counsel & Governance Lead
Module 1: Governance Architecture
The structural foundation — regulatory mapping, risk quantification, and automated compliance systems. Three disciplines converging into a single governance blueprint.
- AI Policy Framework Design (4 min read)
- Risk Assessment Matrix (4 min read)
- Compliance Monitoring Systems (4 min read)
Module 2: Organizational Readiness
Technology adoption fails at the human layer. DISC profiling of governance stakeholders, change resistance diagnostics, and culture assessment frameworks that predict whether the organization is ready or pretending to be.
- Stakeholder DISC Profiling (4 min read)
- Change Resistance Patterns (3 min read)
- Culture Assessment & Readiness (3 min read)
Module 3: Implementation & Sustainability
From architecture to operation — technical governance enforcement in production, vendor contract frameworks, and the continuous governance cadence that keeps the system alive after the initial deployment.
- Technical Governance Layer (4 min read)
- Contract & Vendor Framework (3 min read)
- Continuous Governance Operations (4 min read)