AI Judgment: The Skill That Decides Who Wins the AI Era

Dalibor Jovic

Director of AI

Hussam Ahmad

Leadership & Product Excellence Coach

A bootcamp for AI decision-making: Prove judgment, defend bets, win the AI era.

Cutting-edge tech is cheap and plentiful. Execution is where the graveyard fills up. Most AI projects die before they see a customer because the judgment fails.

Your engineers are pitching copilots, execs demand AI-driven growth, and competitors are shipping agents. But who's deciding? If you can't answer these questions with certainty, you’re flying blind:

  • Is it a genuine strategic asset, or just expensive AI theater?

  • Will it move the bottom line, or just look flashy in a demo?

  • What is the right AI UX pattern—or should you skip AI entirely?

This is where PMs lose control—to hype, to engineers, or to the competition. They either greenlight the wrong bets and waste 12 months on vaporware, or block things and let competitors eat their lunch.

In this workshop, you'll get:

  • The AI Filter: A model to quickly separate gold from fool’s gold .

  • The Stress-Test: 3 questions to kill bad ideas before they waste a dime.

  • The Scripts: How to defend your calls to execs and engineers so you own the decision, not the backlog.

  • The Trenches: Case studies on killing a $2M mistake and unlocking real revenue.

This isn’t AI 101. It’s a judgment upgrade for PMs who want to win the AI era. Seats are strictly limited

What you’ll learn

Learn to spot real AI bets, kill bad ones fast, and defend decisions—becoming the PM who owns AI judgment and leads with confidence.

  • Use a repeatable model to separate real value from AI hype.

  • Focus on problems worth solving, not just flashy demos.

  • Identify where AI creates genuine customer and business value.

  • Apply 3 stress-test questions to eliminate weak concepts early.

  • Shut down bad bets before they waste time, data, or budget.

  • Avoid greenlighting expensive AI theater that fails in production.

  • Decide when AI belongs—and when to skip it entirely.

  • Classify use cases as copilot, recommender, agent, or no AI.

  • Align the pattern to problem, data access, and real workflows.

  • Run fast research to test assumptions before full commitment.

  • Prototype quickly to confirm value and feasibility.

  • Harden solutions before betting the farm.

  • Explain your AI decisions clearly to stakeholders—no jargon, no doubt.

  • Push back on weak ideas without sounding like the skeptic.

  • Influence leadership toward realistic, high-value opportunities.

  • Convert vague ideas into structured, high-confidence product bets.

  • Communicate decisions with clarity and conviction.

  • Own the decision, not the backlog, in AI conversations.

Workshop agenda

  • Welcome & Framing: Why AI Judgment Fails

    Set the stage: Most AI projects die due to poor judgment, not tech. This isn’t AI 101—it’s a judgment upgrade for PMs who decide what gets built.

  • Spot High-Impact AI Opportunities

    Apply a repeatable model to separate real value from hype. Focus on problems worth solving, not flashy demos.

  • Group Discussion: Pattern Recognition

    Compare how peers apply the model. Surface common traps (hype, toy ideas) and build confidence in judgment.

  • Kill Bad AI Ideas Before They Waste Resources

    Use 3 stress-test questions to eliminate weak concepts early. Case study: Killing a $2M mistake before it scales.

  • Choose the Right AI UX Pattern

    Decide when to use copilot, recommender, agent, or no AI. Align patterns to problems, data, and workflows.

  • Validate Fast with Research & Prototyping

    Test assumptions before full commitment. Prototype quickly to confirm value and feasibility without overbuilding.

  • Lead AI Decisions with Authority

    Defend AI calls with scripts and tactics. Push back on weak ideas without sounding like a skeptic.

  • Turn Vague Ambitions into Defensible Bets

    Convert ideas into structured, high-confidence bets. Use the full model to create a 1-page AI Bet Canvas.

  • Closing: Commit & Apply

    Publicly commit to one AI bet to test this week. Accountability: 30-day check-in with a 1-pager template.

Learn directly from Dalibor & Hussam

Dalibor Jovic

Dalibor Jovic

Director of AI

Some companies I helped:
Intel
HP
Swarovski
Jukin Media
Pepsi
Hussam Ahmad

Hussam Ahmad

Leadership & Product Excellence Coach

Some companies I have helped
Schlumberger
Odfjell
DNB
StormGeo
Shell
See all products from Diglab Academy

Who this workshop is for

  • Senior PMs in B2B/Enterprise who’ve seen AI hype fail. Need tools to kill bad ideas early and defend decisions with data.

  • Senior PMs in high-growth startups eager to lead AI initiatives. Want confidence to spot winners and sell them to leadership.

  • Heads of Product/VPs drowning in AI pitches. Need a framework to prioritize bets and align teams fast.

Prerequisites

  • Have shipped products at scale

    You’ve led teams, owned roadmaps, and felt the weight of real customer impact.

  • Are tired of AI hype

    You’ve seen enough demos that never shipped and want to cut through the noise.

  • Influence leadership

    You’ve sold tough calls to execs and know the cost of getting it wrong.

What's included

Live sessions

Learn directly from Dalibor Jovic & Hussam Ahmad in a real-time, interactive format.

Optional 30 minutes 1:1

Use the opportunity to tap into our experiences

Follow up call

30 days after the workshop, we meet and discuss where we are. Best real-world application wins a 1:1 coaching session.

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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Free resources

Frequently asked questions

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Team discount

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Save 20%+ when 2 or more teammates enroll in the same cohort.

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$990

USD

Aug 29
·

2 cohorts