Enterprise GenAI Approval Playbook

Aki Wijesundara, PhD

AI Founder | Google AI Accelerator Alum

Manu Jayawardana

AI Advisor | Co-Founder & CEO at Krybe

Ship GenAI in Regulated Orgs — Without Waiting Forever for Approval

Transform regulatory uncertainty into clear, defensible approvals. This course teaches PMs to structure AI features so Legal, Security, and Risk say yes—without slowing innovation.

Many AI features stall in regulated environments due to last-minute compliance questions, unclear access policies, or inadequate monitoring. The problem isn’t the model—it’s the lack of a structured approval and launch process.

With the Enterprise GenAI Approval Playbook, you’ll learn to:
✅ Identify high-ROI, compliance-safe AI use cases
✅ Define boundaries and prohibited behavior reviewers can approve confidently
✅ Map approvals and produce the evidence each stakeholder needs
✅ Specify access control, logging, monitoring, and release gates
✅ Design incident readiness: kill switches, escalation, communications
✅ Run staged rollouts with safe mode and clear governance

Week by week, you’ll move from regulatory uncertainty to approval-ready PRDs, structured evidence packs, and monitored rollouts. Teams using this approach cut approval delays, reduce review cycles by 50–70%, and launch GenAI features faster. Structured controls replace friction with trust, improving post-launch confidence and compliance.

What you’ll learn

You’ll create an Approval-Ready Launch Pack for a real feature you’re building.

  • Map stakeholders and approval sequences

  • Define prohibited behavior and red lines clearly

  • Translate feature requirements into evidence and monitoring needs

  • Identify blockers early and turn vague “maybe” feedback into actionable signals.

  • Separate leading indicators (control coverage, access checks) from lagging indicators (audit findings, incident frequency)

  • Create a failure taxonomy for compliance risks and operational gaps

  • Build control checklists, PRD insert sections, and rollout gates

  • Create logging, monitoring, and incident playbooks

  • Establish staged rollout plans and safe mode triggers

Learn directly from Aki & Manu

Aki Wijesundara, PhD

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Previous Students from
Google
Meta
OpenAI
Amazon Web Services
NVIDIA
Manu Jayawardana

Manu Jayawardana

AI Advisor | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

Who this course is for

  • PMs shipping AI in regulated industries who want a repeatable, approval-ready process instead of slow cycles.

  • PMs with LLM and product basics who want a data-driven way to define boundaries and make ship-ready decisions.

  • Teams responsible for governance and trust who need checklists, rollout plans, and incident readiness to ensure safety and compliance.

What's included

Live sessions

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

Hands On Customized Resources

Get access to a customized set of resources

Lifetime Discord Community

Private Discord for peer reviews, job leads, and ongoing support forever.

Guest Sessions

Webinar sessions hosted with industry network

Certificate of completion

Showcase your skills to clients, employers, and your LinkedIn network.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

Week 1

Jan 31—Feb 1

    Lecture 1: Use Cases That Survive Compliance

    4 items

Week 2

Feb 2—Feb 8

    Lecture 2: Approval-Ready PRD & Evidence Pack

    5 items

Schedule

Live sessions

2 hrs / week

Live sessions 6 hrs

6 Prerecorded Lectures 6 hrs 2 hrs / week

2 hrs / week

Short, focused videos that break down the complete AI evaluation framework, designed for quick learning and easy rewatching as you apply it in production.

6+ Office Hour Q&As

2 hrs / week

Open office hours for deep dives, debugging help, and personalized feedback.