AI Founder | Google AI Accelerator Alum
AI Advisor | Co-Founder & CEO at Krybe


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.
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
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.
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.
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.