AI & LLM Expert and Author

Every senior leader is being pitched AI agents right now - autonomous systems that promise to transform operations, cut costs, and outpace competitors. Most non-technical executives have no reliable framework to evaluate these claims, and the cost of getting it wrong is steep.
This workshop gives VPs, Directors, and C-suite leaders the mental models and decision tools to assess any AI agent initiative: what these systems actually are, where they fail, and how to identify the highest-leverage automation candidates in their own organization. Built for decision-makers, not engineers, and grounded in real enterprise examples from Sinan's Pearson book Building Agentic AI.
You don't leave inspired. You leave with tools you'll use Monday morning.
See exactly how AI agent initiatives go wrong - and what the approving executive missed. Real cases, real costs, and why better judgment beats more technical knowledge.
Build the plain-language mental model you need to evaluate any agent proposal. We cover LLMs, tools, memory, and orchestration - no code, no jargon, no fluff.
Learn the 5-factor framework for evaluating any process for automation readiness, then apply it live to a real example with the group.
10 minute break!
Learn the 4 failure categories that sink real deployments - then practice spotting them in a mock vendor proposal before they cost you budget or credibility.
Use the Scorecard on real processes from your own organization. Bring one candidate - you'll leave knowing whether it's worth pursuing and why.
Draft a one-page brief for an initiative you're currently facing. Two or three examples get reviewed live so the whole room learns from real cases.
Interrogate a realistic, deliberately flawed AI agent pitch in real time. Use your Scorecard and Red Flag Checklist to find what's broken before anyone commits budget.
Leave with a concrete 3-step action plan tailored to where you are right now, plus answers to the questions your specific situation is raising.
Stop guessing on AI bets. Leave with the judgment and tools to evaluate any initiative with confidence.
How AI agents work at a conceptual level — well enough to ask sharp questions in any vendor or internal pitch meeting
To determine whether a given process is a strong or weak automation candidate
That are high-leverage automation candidates — and two that are not
In AI agent deployments before they cost money or credibility
For an AI initiative they're currently being asked to approve or fund
On inflated vendor claims using specific, grounded questions

Author, lecturer, and entrepreneur
VP of Operations, COO, Chief of Staff, Director of Digital Transformation, VP of Product, VP of Strategy
8–20 years; currently expected to sponsor, approve, or lead AI initiatives without a technical background
Company type: Mid-market to enterprise; already being pitched AI platforms or has an internal team proposing agent workflows

Live sessions
Learn directly from Sinan Ozdemir 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.
Maven Guarantee
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$450
USD