AI Governance Under Pressure - A practical course for Leaders governing AI
Temi Odesanya
US Top 100 Most Influential AI Leaders
Most AI governance courses teach ideal conditions. This one doesn't.
A hands-on workshop for professionals expected to govern AI with limited authority, incomplete visibility, and real institutional resistance. It's built on real AI governance challenges, not framework walkthroughs
You have accountability for AI governance. You did not get the authority, budget, or timing required to prevent every bad outcome. The business moves fast. Deployments go live before governance reviews them. Vendors say the model is proprietary. Senior leaders want answers you're still trying to piece together. And you're expected to have defensible governance posture regardless.
This workshop is built for the Monday morning problem - the deployment that's three weeks from go-live, the shadow AI discovered through a customer complaint, the escalation memo you need to send without ending your career.
Temi teaches from active practitioner experience — operating simultaneously under institutional pressure at a large enterprise and building the actual deliverables this course is designed around. The structural spine of this course — high accountability, limited authority — is not a concept drawn from research. It is the operating condition this course was built from.
Workshop agenda
- 12:30PM EDT
Session 1: Why AI Governance Is Different And Why Traditional Risk fail
Explore why AI creates governance gaps that existing risk, compliance, privacy, and technology frameworks do not fully cover. Learn how to make AI risk concrete and influence stakeholders
- 1:00PM EDT
Session 2: Governing AI After the Decision Is Already Made
Handson Session: Learn how to govern AI when the vendor has been selected, the business case has been sold, the pilot is already running, or leadership wants approval quickly.
- 2:00PM EDT
Session 3: Governing GenAI, Vendor Black Boxes, AI Agents, and Shadow AI
What to Do When the System Is Powerful, Unclear, or Already in Use.This session covers vendor opacity, agentic workflows, shadow AI discovery, and how to respond without destroying trust and momentum
- 2:50PM EDT
Session 4: Influence Without Formal Authority
How to Move Legal, Risk, Compliance, Product, Technology, and Leadership Without Becoming a Blocker. Influence decisions through risk framing, stakeholder mapping, escalation, and practical governance
- 3:30PM EDT
Break
10 minutes
- 3:40PM EDT
Session 4: When Something Goes Wrong — Incident Response and Career Survival
Incident Response, Evidence, and Accountability Protection. Learn how to respond when an AI system creates harm, produces incorrect outputs, exposes sensitive data, triggers regulatory concern
What you’ll learn
You leave as a practitioner who knows how to govern AI under the pressure and build a record that is defensible regardless of the company
AI governance decision templates, AI risk assessment prompts, Vendor AI review questions, GenAI and AI agent governance checklists,
Esclation Memo, Shadow AI response playbooks, Incident documentation examples
Navigate AI governance realities with career survival competency with the ability to govern with less authority, visibility and resources
Make AI risk and implement due diligence on systems you cannot fully see — vendor systems, foundation models, shadow deployments
Manage sudden deployment in scenarios where a provider updates the model you deployed six months ago without your knowledge
Reusable prompts for Risk reviews, Vendor questions, Decision logs, GenAI reviews, AI agent governance, and stakeholders and council meeting
Identify minimum viable intervention points under institutional momentum and govern after the decision has already been made.
Run non performative stakeholder consultation and assessment whose findings survive being inconvenient
Distinguish between risks that governance can prevent, mitigate and accept
Respond when something goes wrong and know the difference between governance documentation that protects you and implicates you
Producing governance assessments, escalation memos, decision logs, incident reports that are attributed, timestamped, and protects you
Evaluate how automation tools can be applied within AI Governance workflows to increase speed, scalability, and process reliability
Learn directly from Temi
Temi Odesanya
AI Governance Practitioner & Educator
Who this workshop is for
Risk and compliance professionals whose portfolio now includes AI — applying old frameworks and finding the fit is off.
AI governance leads and responsible AI program managers with a mandate but limited authority — writing policies teams route around.
Legal counsel, CPOs, and digital ethics leads making AI architecture decisions that will shape governance for years, without a playbook.
Prerequisites
Exposure to AI Governance, Risk or Compliance in a professional context
This course skips the orientation. We build on existing foundational knowledge, frameworks — not from scratch
Exposure to AI/ ML projects in a professional context
If you've never had exposure to AI projects, this course will feel advanced. If you have, it will feel like finally having the right words
What's included
Live sessions
Learn directly from Temi Odesanya in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Frequently asked questions
$600
USD