Govern AI at the enterprise level — before regulators force your hand
A practitioner-built executive program for senior leaders who need working governance structures, board-ready assurance frameworks, and a five-year roadmap — not a theoretical survey of AI ethics.

"The executives who govern AI well aren't the ones who understand it best — they're the ones who built the right structures before the pressure arrived."— Pauline Brown Smith, EdD

What you'll learn
What you'll be able to do
- Design and operationalize an enterprise AI governance innovation laboratory to stress-test controls, audit workflows, and oversight processes before full-scale deployment.
- Build and lead a cross-functional AI oversight structure that aligns executive leadership, legal, compliance, cybersecurity, privacy, and business stakeholders around accountable AI lifecycle management.
- Construct a continuous AI governance improvement program that tracks maturity, policy effectiveness, model inventories, and regulatory developments through measurable KPIs.
- Develop a board-ready AI governance assurance scorecard and executive KPI dashboard that communicate risk posture, regulatory readiness, and governance performance.
- Produce a five-year AI governance innovation roadmap that distinguishes established governance practices from emerging capabilities in autonomous systems and quantum technologies.
- Execute a structured enterprise AI governance improvement initiative — integrating risk registers, audit findings, stakeholder collaboration, and resilience planning — for real organizational deployment.
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 30 lessons

AI Governance Innovation Laboratories
Equips executives to design and operationalize structured laboratory environments that stress-test governance controls, audit workflows, and oversight processes before enterprise-scale deployment.
- 1.1Foundations of AI Governance Innovation LabsIncluded
- 1.2Designing the Lab Framework and Operating ModelIncluded
- 1.3Stress-Testing Controls and Audit WorkflowsIncluded
- 1.4Evaluating Monitoring Technologies and Responsible AI PracticesIncluded
- 1.5Transitioning Lab Findings to Enterprise DeploymentIncluded
Enterprise AI Oversight Structures
Guides senior leaders in building and operating a cross-functional AI oversight architecture that aligns executive, legal, compliance, cybersecurity, privacy, and business stakeholders around accountable AI lifecycle management.
- 2.1Architecting the Enterprise AI Oversight ModelIncluded
- 2.2Aligning Stakeholders: Legal, Compliance, Cybersecurity, and PrivacyIncluded
- 2.3Data Stewardship and Business Stakeholder IntegrationIncluded
- 2.4AI Lifecycle Management and Accountability MechanismsIncluded
- 2.5Building the Enterprise AI Oversight RoadmapIncluded
Continuous AI Governance Improvement
Develops executives' ability to build a recurring improvement program that tracks governance maturity, policy effectiveness, model inventories, workforce capability, and regulatory developments through measurable KPIs.
- 3.1Governance Maturity Models and Assessment FrameworksIncluded
- 3.2Policy Effectiveness Reviews and Model Inventory ManagementIncluded
- 3.3Workforce Capability Development and Culture of AccountabilityIncluded
- 3.4Tracking Regulatory Developments and Audit FindingsIncluded
- 3.5Designing a Continuous Improvement Strategy with Measurable KPIsIncluded
AI Governance Assurance and Executive Reporting
Prepares executives to evaluate governance effectiveness and communicate risk posture, regulatory readiness, and assurance findings through board-ready scorecards, KPI dashboards, and structured executive reviews.
- 4.1Principles of AI Governance AssuranceIncluded
- 4.2Building the AI Governance Assurance ScorecardIncluded
- 4.3Designing the Executive KPI DashboardIncluded
- 4.4Enterprise Risk Register and Cybersecurity ResilienceIncluded
- 4.5Structuring the Board Presentation on AI GovernanceIncluded
Five-Year AI Governance Innovation Roadmap
Enables executives to distinguish established governance practices from emerging capabilities — including autonomous systems and quantum technologies — and sequence them into a credible, board-endorsed five-year roadmap.
- 5.1Mapping Established vs. Emerging AI Governance CapabilitiesIncluded
- 5.2Governing Autonomous Systems: Oversight ConsiderationsIncluded
- 5.3Quantum Technologies and AI Governance ImplicationsIncluded
- 5.4Sequencing the Five-Year Governance Innovation RoadmapIncluded
- 5.5Securing Executive and Board Endorsement for the RoadmapIncluded
Applied Enterprise AI Governance Improvement Initiative
Integrates all prior learning into a capstone initiative where executives design and present a real-world enterprise AI governance improvement program ready for organizational deployment.
- 6.1Scoping and Framing the Governance Improvement InitiativeIncluded
- 6.2Integrating Risk Registers, Audit Findings, and Stakeholder InputsIncluded
- 6.3Designing Policy Execution and Monitoring WorkflowsIncluded
- 6.4Reflective Leadership: Lessons, Decisions, and Governance JudgmentIncluded
- 6.5Capstone: Presenting the Enterprise AI Governance PortfolioIncluded
Who it's for
Is this you?
Chief AI Officers
Needs a defensible enterprise oversight architecture and a board-ready governance portfolio to match the strategic weight of the role.
Chief Risk Officers
Requires structured AI risk registers, assurance scorecards, and a continuous improvement program that integrates with existing enterprise risk frameworks.
Compliance Directors
Responsible for keeping AI deployment ahead of an evolving regulatory curve and needs policy effectiveness reviews and audit-ready governance workflows.
Legal Counsel
Advises on AI regulatory exposure and needs the structural fluency to embed legal accountability into AI lifecycle management and oversight committees.
Data Governance Leads
Oversees model inventories and data stewardship programs that must integrate cleanly into a cross-functional AI oversight structure.
Board-Level Executives
Accountable for AI governance at the highest level and needs the executive KPI dashboard and presentation frameworks to interrogate — not just receive — AI risk reporting.
Questions
Frequently asked
Your teacher
A note from your teacher
Pauline Brown Smith, EdD
If you are reading this, you are almost certainly already accountable for AI governance in some form — and you are aware that the organizational structures around you have not fully caught up to the risk exposure you are managing. The model inventory is incomplete. The board asks about AI risk and receives a narrative rather than a framework. Legal and compliance are in the room but not yet integrated into the AI lifecycle in any systematic way. You know what good looks like; the question is how to build it, institutionalize it, and make it defensible when regulators, auditors, or the board apply pressure.
That is exactly the gap this program is designed to close.
I built this curriculum from the reality that governance professionals at the senior level are underserved by most AI education. The market is full of AI literacy programs for practitioners and ethics frameworks for theorists. There is very little designed for the executive who needs a working oversight structure by next quarter — one that can survive an audit, support a board presentation, and scale as regulatory requirements evolve. This program addresses that need directly, with the rigor and specificity that your role demands.
What you will work through here is not a survey. It is a structured build. You will design an AI governance innovation laboratory to stress-test your controls before they go enterprise-wide. You will architect the cross-functional oversight model that aligns your legal, compliance, cybersecurity, privacy, and business stakeholders around accountable AI lifecycle management. You will build the assurance scorecard and KPI dashboard that give your board a real picture of your organization's governance posture — not a polished slide, but an instrument they can interrogate. And you will map a five-year governance innovation roadmap that accounts for where autonomous systems and quantum technologies are taking your regulatory exposure.
I want to address the objection I hear most often from executives at your level: "I don't have time for a course." This program is designed to produce working artifacts — governance deliverables you will actually use — not exercises you complete and set aside. The capstone is an applied enterprise AI governance improvement initiative that you build for your own organization, integrating your risk registers, your audit findings, your stakeholder landscape. You are not doing academic work. You are doing your job, with structured expert guidance.
The governance professionals who will define the standard for enterprise AI accountability over the next five years are building their operating models now. The regulatory environment will not wait, and neither will the board. This program gives you the frameworks, the fluency, and the finished deliverables to lead that work with precision and authority. I look forward to working through it with you.
— Pauline Brown Smith, EdD
Start your journey today
Join get instant access — learn at your own pace with an AI coach in your corner.
$150/mo
Recurring billing · cancel anytime
Secure checkout · Instant access
- 6 modules, 30 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- Full access for as long as you're subscribed