The Enterprise AI Playbook: Strategy, Governance, Risk & Responsible Adoption

Manu Jayawardana

Exited AI Founder | Co-Founder, Snapdrum

Aki Wijesundara, PhD

AI Founder | Google AI Accelerator Alum

Lead AI adoption without losing control of the risk.

Most organizations are past the experimentation phase. What matters now is deciding how AI gets governed, who owns the risk, and how value gets measured once budgets and boards are watching. Pilots are easy. A defensible, board-ready AI strategy that survives scrutiny from legal, security, and the C-suite is not.

In this program you'll build that strategy end to end: the transformation roadmap, governance model, risk framework, and operating model that makes adoption stick across the organization, not just one team.

  • Build an enterprise AI strategy and roadmap tied to business outcomes

  • Stand up responsible AI foundations and governance that satisfies legal and security

  • Design a risk approach covering model, data, and third-party risk

  • Assess readiness and design an operating model that fits how you work

  • Set up a measurement framework for AI value and ROI leadership trusts

You leave with a working strategy and operating model, not just notes. Built and taught by practitioners who advise real organizations weekly. 5,000+ students trained. Alumni from OpenAI, Google, Meta, McKinsey, and BCG.

The tools will keep changing. The governance model you build won't.

What you’ll learn

Build a comprehensive AI adoption strategy that balances innovation, governance, trust, and long-term sustainability.

  • Translate business priorities into an AI strategy leadership will actually back

  • Sequence a transformation roadmap that moves from pilots to scaled adoption

  • Leave with a roadmap template you can adapt to your own organization

  • Define the principles, ownership, and decision rights behind responsible AI

  • Build a governance framework that covers model approval, oversight, and accountability

  • Know where governance sits relative to legal, security, and the business

  • Identify the risk categories that matter most: model, data, vendor, and reputational risk

  • Build a risk assessment process that doesn't slow teams to a crawl

  • Set up escalation paths for when something goes wrong

  • Diagnose where your organization is genuinely ready for AI and where it isn't

  • Choose an operating model: centralized, federated, or hybrid, and know why it fits

  • Define the roles and capabilities you need to staff the model you choose

  • Translate emerging AI regulation and internal policy into guardrails teams can follow

  • Build a measurement framework for AI value and ROI that leadership trusts

  • Leave with a playbook for leading AI adoption at scale across the organization

Learn directly from Manu & Aki

Manu Jayawardana

Manu Jayawardana

AI Advisor | Co-Founder, Snapdrum | Scaling a 7 Figure AI Growth Business

Previous Students from
Google
McKinsey & Company
Boston Consulting Group (BCG)
NVIDIA
OpenAI
Aki Wijesundara, PhD

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Previous Students from
Google
OpenAI
Meta
Amazon Web Services
NVIDIA
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Who this course is for

  • The Senior Leader or Executive

    You're accountable for AI outcomes at the board level, and needs a strategy you can defend

  • The Digital Transformation Leader

    You're driving adoption across functions that don't naturally agree and need an operating model

  • The AI Program Manager

    You own the rollout day to day. You need governance and risk frameworks that are practical enough to actually run.

Prerequisites

  • No technical background required

    This is a strategy and governance program, not a coding course. You don't need to write a line of code.

  • Some exposure to your organization's AI initiatives helps

    You'll get the most out of this if you have visibility into at least one live or planned AI initiative.

  • Bring the mandate to act on this, not just attend it

    The program assumes you have, or are building toward, the authority to shape AI strategy in your organization.

What's included

Live sessions

Learn directly from Manu Jayawardana & Aki Wijesundara, PhD in a real-time, interactive format.

Lifetime Access to All Recordings & Materials

Revisit the materials and lectures anytime. Recordings and slides are made available to all students.

Community of peers

Stay accountable and share insights with like-minded professionals.

Guest Sessions

Webinar sessions hosted with industry network

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Complimentary Access to a Future Cohort

If you’re unable to fully participate or complete the program during your current cohort, you’ll have the option to defer and join a future cohort at no additional cost, allowing you to properly complete the experience.

Graduate With a Completed AI Governance & Risk Framework"

Leave with a board-ready strategy document, governance charter, and risk register built during the program, plus the templates behind them

2 Homework Assignments With Solutions & Walkthroughs

Optional coding assignments & walkthrough videos so you can practice every concept.

Detailed Vendor & Tools Workshops

Curated talks from practitioners working on AI governance and compliance, plus workshops with vendors building AI risk and oversight tooling

24/7 On-Demand AI Support

Receive instant guidance, explanations, and help across every course and module.

Every template, workflow, prompt, and automation — yours forever

Every framework, template, and automation becomes permanently yours, meaning you keep the exact governance charters, risk registers, roadmaps, and ROI models built during the program. Reuse and adapt them for your own organization or client engagements without starting from scratch

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

Week 1

Jul 28

    Jul

    28

    The Enterprise AI Playbook: Strategy, Governance, Risk & Responsible Adoption

    Tue 7/286:30 PM—9:30 PM (UTC)

    Enterprise AI strategy and the transformation roadmap

    4 items

    Responsible AI foundations and governance

    4 items

    Risk management for AI systems

    4 items

    Organizational readiness and AI operating models

    4 items

    Compliance, policy, and measuring AI value

    4 items

Free resources

Schedule

Live sessions

3 hrs / week

Short, focused sessions that walk through the complete strategy, governance, and risk framework, designed for easy rewatching as you apply it inside your organization."

    • Tue, Jul 28

      6:30 PM—9:30 PM (UTC)

Lifetime Access to All Recordings, Materials and Async content

3 hrs / week

Each week you'll build toward a complete AI strategy and governance package, applying every framework directly to your own organization. Every project includes step-by-step guides. Time invested depends on the complexity of your organization

Projects

1-3 hrs / week

You'll build toward a complete AI strategy and governance package, applying every framework directly to your own organization. Every project includes step-by-step guides. Time invested depends on the complexity of your organization.

Testimonials

  • The AI training approach is outstanding. Our team learned to build practical AI solutions that we could implement immediately in our educational platform. The hands-on methodology made complex AI concepts accessible to our entire development team.

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    Kavi T.

    CEO of Tilli Kids / Stanford PhD
  • I sent my team through this training for upskilling, and the results have been remarkable. Within weeks, they became much more efficient at building automations and deploying AI agents at work. This program bridges the gap between theory and practice and it’s had a real impact on our productivity.

    Testimonial author image

    Aamir Faaiz

    CEO of Bayseian

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