AI On-Ramp for Org Leaders: Lead High-Impact AI Transformation
Jean-Michel VAN
ex-AI Product Leader F500 / Founder CEO
Design AI Transformations That Make You the Go-To AI Leader
Most AI initiatives fail not because the AI tech is weak, but because leaders focus on the wrong execution layers: vague goals, unclear owners, no baseline, and no plan for adoption or risk. The result is “pilot purgatory”, demos that impress, projects that stall.
This course is a practical on-ramp for org leaders who need to make AI decisions that survive real-world constraints: data access, change management, governance, competition and measurable ROI. In two live sessions, you’ll apply a simple decision framework to your own workflow, score opportunities, prioritize what to do first, and leave with an ROI-ready plan you can sponsor and communicate with confidence.
You won’t learn how to build models. You’ll learn how to pick the right bets and drive execution.
What you’ll learn
Be the AI leader your org trusts: prioritize ROI-ready initiatives, manage risk and adoption, and move beyond pilot purgatory.
Spot the 6 common failure modes (tool-first, no owner, no metrics, etc.)
Identify where your org is most likely to stall (data, adoption, risk)
Define what “good” looks like: owner + metric + workflow + guardrails
Understand GenAI strengths/limits in plain English (no AI jargon)
Choose the right pattern: Assist vs Human-in-loop vs Autopilot
Use the 4 leader questions: Outcome / Risk / Adoption / Cost
Map the workflow end-to-end (steps, handoffs, exceptions)
Generate a Top 10 list of AI opportunities (not random brainstorms)
Tag each opportunity by risk and adoption friction
Estimate impact (time, cycle time, errors) using rough-but-useful inputs
Score feasibility (data access, system constraints, complexity)
Score adoption load and risk to avoid “great demo, bad rollout”
Rank top opportunities into quick wins vs strategic bets
Why the AI pace requires a culture and org change
Define the “first bet” that proves value within 30 days
Create a 1-page charter: scope, owners, success metrics, guardrails (pilot-to-scale)
Set baseline → target → instrumentation so ROI is measurable
Build a 30/60/90 plan to avoid pilot purgatory and prep for scale
Learn directly from Jean-Michel
Jean-Michel VAN
RyseFlow Founder CEO | 15+yr AI Product Leader at HealthTech Fortune500
Who this course is for
Directors or Heads owning ops, product, or transformation who must sponsor AI work and prove ROI without getting trapped in endless pilots.
Leaders tasked with “making AI happen” internally who need decision frameworks, not tools, to prioritize initiatives and manage risk
Senior ICs or managers stepping into leadership roles who want to become trusted AI champions in their org, not just AI users.
What's included
Live sessions
Learn directly from Jean-Michel VAN in a real-time, interactive format.
On-demand content
~3 hours of guided video and written lessons and exercises.
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.
Top-Down AI Transformation Framework
This is an AI Transformation Playbook you can use for future reference.
AI Readiness Audit Checklist
This checklist is designed to help you understand your current organisation's risks
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
3 live sessions • 13 lessons • 2 projects
Week 1
Apr
11
Session 1: AI On-Ramp for Org Leaders: Lead High-Impact AI Transformation
Fast AI Fluency and Why Pilots Fail
Understand the Opportunity Patterns
Assessment: Apply the Opportunity Map v1
Week 2
Apr
15
Office hours
Apr
18
Session 2: AI On-Ramp for Org Leaders: Lead High-Impact AI Transformation
Why Traditional Execution Breaks? Apply the AI-Native Approach
Score ROI and Prioritize your high impact bets
Assessment: AI Pilot Decision Pack
Implementation Kickoff Checklist
Schedule
Live sessions
2 hrs / week
Class learning, workshops and home exercise.
Sat, Apr 11
3:00 PM—4:30 PM (UTC)
Wed, Apr 15
3:00 PM—4:00 PM (UTC)
Sat, Apr 18
3:00 PM—4:45 PM (UTC)
Projects
1-2 hrs / week
Investigate your own organization or customers. Applying the framework and prioritizing critical projects for reflection
Async content
1 hr / week
Frequently asked questions
$849
USD