Efeeo

AI Product Governance - From Compliance Friction to Moat

Francis Ofungwu

CEO at Efeeo (Former GitLab, Salesforce and Rackspace Cybersecurity Leader)

Learn to pre-empt the "compliance review" bottleneck by building governance artifacts your market cares about.

Compress Sales Cycles

Walk away with how to make your compliance posture a differentiator.

How to Navigate The "We Can't Use Your AI" Sales Blocker

Understand exactly what a risk team needs to see to inspire trust in your solution.

You Can't Hide Behind SOC 2

Lead the AI Transformation. Don't just witness it.

VP of Product, Uber

Amit Fulay

Vice President of Product, Uber

Fmr SVP Lattice & Sr. Dir Google

Jennifer Liu

Product Executive and Coach (SVP, CPO, Sr. Director Google)

Director of Product, Google AI

Satyajeet Salgar

Cohort 4

Cohort 5

AI is a market-decimating force. The old playbook of "shipping features" is dead. Leaders must now build "Contextual Moats" and defensible strategies.This course bridges Executive Leadership and AI Strategy, infusing our #1 Ranked curriculum with frameworks to win in the AI age.What You'll Get:1. Define Strategic Leverage: Master the 4 Sources of AI Leverage (Data, Distribution, Trust, Learning Loops). Build moats that endure even when models become commodities.2. Shift to "Planning in Motion": Traditional planning fails when the landscape shifts weekly. Build a "Sensing Function" to create roadmaps that adapt to new models and competitor moves without descending into chaos.3. Architect the Human + Agent Workforce: Scale output, not headcount. Learn to design the "Baton Pass"—assigning repeatable tasks to Agents and judgment tasks to Humans to maximize leverage.4. Master AI Economics: Powerful models cannot fix weak unit economics. Master the new P&amp;L: forecast scaling inference costs, manage the "Cost vs. Quality" trade-off, and operationalize Trust.

Lead the AI Transformation. Don't just witness it

Build Defensible "Contextual Moats"

Master AI Economics & Unit P&L

Lead AI Transformation & Escape "Pilot Purgatory"

Ambitious Senior PMs, GPMs, &amp; VP Level Leaders: Leaders who are responsible for product success and need to crystallize their skills to lead

Founders &amp; Executives: Those who realize that "be first to market" is no longer enough and need a strategy that provides a durable advantage

Note: This course is not for early-career PMs or those looking for a basic introduction to prompt engineering. This is a strategy and leader

Lead AI initiatives with clear goals, defensible evaluation, explicit risk decisions, and exec updates that drive alignment and investment.

CPO, GM xBraintrust, Nextdoor, OpenTable

Braintrust 🧠

Nextdoor

LiquidSpace I Work from where it works.

OpenTable

BlackRock

Elena Luneva

f-CPO. Product executive (Braintrust, Nextdoor, OpenTable, LiquidSpace)

Ex-Alexa AI Principal PM

Amazon

Elsevier

Schneider Electric

Polly Allen

Ex-Alexa AI PM turned founder at AI Career Boost

Magic

Juggernauts

AI increases what your ICs can do. It also breaks the management systems most teams rely on.Prototypes multiply. Quality becomes subjective. Risk ships quietly. You end up in every review because no one is sure what "good" looks like — or who's accountable for evals, failure modes, and rollout decisions.If you're a Director, Head of Product, or VP with multiple AI initiatives in flight: you're managing something you didn't build a system for yet. Execs keep asking "How do we know it's good?" and "What's the ROI?" — and you're the one fielding it.This two-day workshop gives you the operating system. Not theory. Not frameworks. The actual playbooks, artifacts, and rituals high-performing, AI-native teams use — built during the workshop so you leave with real deliverables, not homework.Leave with:1. A 90-day AI portfolio — clear bets, owners, and decision gates so nothing gets orphaned2. A repeatable risk review process your team can run without pulling you in3. A shared quality bar — examples, acceptance criteria, and review gates so "is this good enough?" stops being a judgment call4. Reusable operating artifacts built during the workshop — actual deliverables, not slides

Get the operating system used by high-performing AI-native teams

Install an AI-native operating cadence that keeps speed and alignment

Run AI risk reviews that drive decisions and confidence

Own and drive evaluation metrics and process, before and after launch

Implement playbooks that let your team move with you, not wait for you

Director/Head of Product: Leads AI initiatives; turns prototypes into production with clear quality, gates, and exec updates.

Eng leader (Sr Mgr/Dir/VP): Ships AI fast while managing reliability, security, and cost with consistent eval + risk reviews.

Data/ML leader (Dir/Head): Owns evals and performance; aligns product and execs with shared language and decision-ready tradeoffs.

This isn't a training about AI governance theory. It's a course about DOING AI governance. Here's what you'll be able TO DO not just KNOW

AI Governance Advisor & Ph.D. Scholar

ISACA

Centene

Cyber Pros Training

Trenton Health Team

Western Governors University

Francois B. Arthanas

AI Governance Advisor & Ph.D. Scholar (CISSP, CISA, AAIA) | Founder, Cyber Pros 

For professionals who need to govern, secure, test, monitor & prove trust in enterprise AI agents.

Cohort 1

Cohort 2

<h2>Every company is deploying AI. Almost nobody is governing it.</h2>Organizations are plugging AI into hiring, lending, healthcare, and fraud detection with zero governance frameworks in place. No risk assessments. No audit trails. No compliance programs. Nothing.And regulators have noticed.The EU AI Act is live. Penalties hit €35 million or 7% of global revenue. Every major jurisdiction is building enforcement and most organizations don't have a single person who can stand up an AI governance program.Here's what nobody in cyber wants to say out loud: the traditional GRC job market is crowded, the certifications are commoditized, and the salaries have plateaued.AI governance is the opposite. The demand is exploding. The talent pool is nearly empty. And the professionals who build real expertise now with real frameworks, real projects, and real proof won't just enter this field. They'll define it.This program is how you do it in 8 weeks. You will master NIST AI RMF, ISO 42001, &amp; the EU AI Act. You'll build 8+ portfolio-ready deliverables. And you'll walk out with the one thing no certificate gives you: proof you can do the job before you ever get the job.No deep tech background required.

Get hired in AI Governance. Build the portfolio that proves you can do the work.

Lead Enterprise AI Governance Program Design

Conduct AI Risk Assessments Using NIST AI RMF

Design ISO 42001-Aligned AI Management Systems

Navigate EU AI Act Compliance for High-Risk Systems

Plan, Execute AI System Audits & Report AI Risk to Executive Leadership

Design Multi-Layered AI Control Frameworks & Manage Third-Party AI Vendor Risk

You do not need:

Coding skills, 

Machine learning experience, 

Advanced cybersecurity background

There are NO technical prerequisites

Basic familiarity with GRC concepts risk management, internal controls, compliance frameworks, audit fundamentals

You should have

Career switchers who want lower technical barriers cyber career that is very in demand

GRC Professional who knows AI governance is the future of their career and are ready to stop reading about it and start doing it

IT auditor, risk, compliance, privacy, legal, consultant &amp; security professionals who want influence, stability, and relevance in the AI era

Design AI governance, manage risk & compliance—become a trusted enterprise leader

Ex-JPMorgan Data Leader | AI Governance

JPMorgan Chase & Co.

NatWest

Centrica

Barclays

Prajesh Jha

Founder-GravitasETRM | Ex - JPMC | ADNOC, BP, ENI, Centrica, NatWest, Barclays

Most AI courses teach you how to build models. Almost none teach you how to control them once they’re in production—and that’s where careers are being made (or broken).Today, organizations are deploying AI faster than they can govern it. That creates real risk: regulatory exposure (EU AI Act, model audits), reputational damage from biased or opaque decisions, and financial loss from poorly controlled models. Leaders are under pressure to answer questions like: Who owns this model? How is it monitored? Can we explain it to regulators? Most teams don’t have clear answers.This program focuses on that gap. You’ll learn how to design and implement practical AI governance frameworks—policies, controls, risk models, and oversight structures that actually work in enterprise environments. Not theory, but how to operationalize governance across the AI lifecycle.If you’re already working with data or AI, this is the layer that elevates you—from building systems to owning accountability, influencing decisions, and operating at leadership level.

Lead AI Governance: Control Risk, Meet Regulation, Drive Decisions

Design Enterprise AI Governance Frameworks

Control AI Risk, Compliance & Regulatory Exposure

Operationalize AI Governance End-to-End

Influence Stakeholders & Lead Governance Decisions

Build Career Path in AI Governance Leadership

Deliver Real-World AI Governance Implementation

Mid–senior data/AI professionals aiming to lead governance, risk &amp; strategy roles

Risk, compliance &amp; audit professionals expanding into AI governance &amp; regulation

Tech leaders &amp; consultants driving enterprise AI adoption with accountability &amp; control

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Product managers who drive strategy, development, and launch of products.

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Establishing policies, ethics frameworks, and oversight for responsible AI use in organizations.

Startup founders building new businesses, from MVP to scale.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Setting strategic direction, making high-stakes decisions, and translating vision into execution.

AI Product Governance - From Compliance Friction to Moat

What you'll learn

Why this topic matters

You'll learn from

Francis Ofungwu