AI Executive & Systems Strategist

Agentic AI changes more than the interface. Once software can interpret situations, use tools, make decisions, and take action, leaders are making operating-model decisions—not just technology choices.
The challenge is knowing where agency actually belongs.
Some workflows should remain human-led. Some should be automated. Some benefit from AI assistance. Only some justify the added complexity, cost, and risk of an agent.
This course gives you a practical way to make that distinction. You will work on one real workflow from your organization and answer the questions that matter before investment begins:
Should this work be agentic at all?
Where should humans retain decision rights?
What systems and controls must exist around the agent?
Do the economics justify the investment?
What would a responsible 90-day execution plan look like?
The goal is not to deploy more agents.
It is to make better decisions about where agentic systems create real value
Turn one real workflow into a defensible agentic execution plan
Apply the Agentic Fit Test across six dimensions to evaluate whether agency is justified.
Distinguish human-led, AI-assisted, automated, and agent-operated work.
Identify when the right decision is to narrow, redesign, or reject an agentic use case.
Map the workflow around decisions, not just tasks.
Assign decision rights across humans, agents, and systems.
Design escalation conditions for exceptions, uncertainty, and higher-risk actions.
Define the context, tools, permissions, and controls the agent needs to operate safely.
Identify the evaluation, monitoring, and observability needed to detect failure.
Classify failure modes, including silent failures that may go unnoticed over time.
Identify where value comes from across revenue, cost, capacity, speed, quality, and risk.
Compare expected value against build, run, and ongoing operating costs.
Decide whether to proceed, narrow the scope, redesign the workflow, or stop.
Estimate build, run, and carry costs for the proposed agentic system.
Quantify value across revenue, cost, capacity, speed, quality, and risk.
Test the assumptions that determine whether the investment is worth making.
Sequence the work by risk, dependency, and evidence required.
Define gates, owners, and the person with authority to stop or advance the initiative.
Prepare the executive ask needed to secure approval and move into execution.

AI Executive, Systems Strategist & Agentic Enterprise Builder
Executives and senior leaders accountable for AI strategy and investment
Transformation, innovation, and operations leaders redesigning how work gets done
Founders, small-business owners, and functional leaders with a real workflow to improve

Live sessions
Learn directly from Dr Jean-Leah in a real-time, interactive format.
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.
Personal diagnostic review
I review your Week 0 workflow diagnostic before the program begins.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
5 live sessions • 18 lessons • 5 projects
Nov
5
Nov
12
Live sessions
1 hr / week
Apply the week’s framework to your own workflow and build the corresponding artifact. Most participants should plan for about 30–60 minutes of focused work.
Thu, Nov 5
5:00 PM—6:00 PM (UTC)
Thu, Nov 12
5:00 PM—6:00 PM (UTC)
Thu, Nov 19
5:00 PM—6:00 PM (UTC)
Projects
1 hr / week
Apply the week’s framework to your own workflow and build or refine the corresponding artifact. Most weeks, plan for 30–60 minutes of focused work.
Maven for Teams
Reimbursement
Get your company to pay
Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedPrivate cohort
Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
Book a private cohort$1,500
USD