John P. Dentico, Ed.D., AIMP

Leadership Simulation Designer. Author. Podcast Host. Strategic Thinking Coach.

How to Decide What to Automate Before the Engineer Guesses

Recognize why capable teams keep solving the wrong problem and what that actually costs once the specification closes.

See the costly step most teams skip

Watch a room settle on training or adoption, then see what gets permanently encoded as a result.

Watch the wrong diagnosis get accepted

Walk away clear on the one diagnostic move that has to happen before any system, tool, or plan hardens the wrong rules.

Leave knowing the missing step

Watch how decisions produce consequences across sessions, turning diagnosis into something you feel and remember.

Learn how consequence-driven simulations makes learning last

Stop over-explaining and start guiding decisions. You'll become the professional who walks into senior rooms and walks out with a yes.

Cohort 7

24-Year Banker -> Presentation Expert

JPMorgan Chase & Co.

Commerzbank

Royal Bank

Mary Beth Hazeldine

24 years at JPMorgan, PwC, RBS. Now training executives to win decisions.

Cohort 6

Cohort 8

You've done the work. You know the material. You've prepared the slides.And yet the decision stalls.Polite nods. Reasonable questions. Then: "Let's take this offline." "We'll circle back." "Good discussion."Translation: No decision today.If this keeps happening, it's not because you lack expertise or presentation skills. It's because the way you're structuring your message doesn't match how senior people decide.Here's what nobody tells you: executives make their decision in the first few minutes, then spend the rest of the time looking for reasons to trust that instinct—or doubt it. When you lead with context, build to your recommendation, and back it up with extensive data, you're triggering doubt, not confidence.The unspoken question in their mind: "If they need this much explanation, is the recommendation actually solid?"This course gives you a different approach—a system built on how decisions actually happen in senior rooms. You'll learn to structure your message so that "yes" feels like the obvious, low-risk choice.Not through tips you'll forget under pressure. Through a repeatable system that works even when you're tired, rushed, or facing pushback.

Executives decide before your presentation ends. Structure accordingly

Structure presentations that win decisions

Remove the anxiety before you even start

Build credibility without over-explaining

Choose proof that reassures, not proof that defends

Handle pushback without becoming defensive

Use AI tools without sounding generic or losing authority

<code>You present to executives, boards, or steering committees—and need decisions, not "good discussions." Your credibility is on the line.</code>

You pitch to clients and present recommendations for a living. Stalled decisions cost you deals, revenue, and repeat business.

You're in relationship management, business development, or sales—presenting to win deals, budgets, or strategic alignment.

The hardest part of automation isn't the tool, it's the choice

Ops automation builder, not hype

Jacob Eells

CS leader who cut 68hrs/week of manual work with automation, not hype.

£200 for this cohort. Price rises for future cohorts once this one's run.

Cohort 1

Most ops leaders don't lack automation ideas. They lack a way to decide which one to build first.So the backlog piles up, "we should really automate that" gets said in every team meeting and acted on in none of them, and the moment someone's out sick or volume spikes, the whole operation turns into firefighting instead of running itself.This isn't a tools workshop. You won't be comparing platforms or writing a line of code. You'll work through the same framework I use to audit real teams, applied live to your own, and leave with a prioritised roadmap: what to build first, what to leave alone, and a version of the case you can actually take to your own leadership.If you've said "we should automate that" and watched nothing happen, this is built for exactly that gap.

Turn "we should automate that" into a prioritised 90-day plan you can defend to your own leadership.

Audit your team's real automation opportunities

Build a prioritisation framework for automation

Tell automation and AI apart, and use each right

Leave with an actual 90-day roadmap

Build the case your leadership will actually buy

Protect your team's judgement, not just their time

For newly appointed ops managers who've inherited a messy process and no clear plan for fixing it first.

For people managers, new or experienced, who want their team's time spent on judgement, not repetitive admin.

For builders who already automate on instinct, but want a repeatable method instead of one-off wins.

Every coach knows when a program fails. 
Few know exactly why.

20+ Years Coaching Elite Athletes

Exos

Cleveland Browns

Munster Rugby

Denis Logan

Former EXOS Director. 20+ years coaching elite athletes & building systems.

Stop Guessing Your Programming: Build a System (For Strength Coaches)

Ask ten coaches why a program failed, and you'll get ten different answers.Too much volume.Wrong exercises.Poor recovery.They're not wrong. They're just not specific enough to act on.Here's the better question:When a program fails, which decision broke first?This workshop gives you a five-step diagnostic you can run on any program:Constraint — What's actually limiting the outcome?Alignment — Does the intervention match the constraint?Dosage — Is the athlete getting enough of the right stimulus?Time to Emergence — Has enough time passed to expect adaptation?Interference — Is something else suppressing the result?Underneath it all is Recovery—not another programming decision, but the context that determines whether adaptation is even possible.Once you can diagnose where a program fails, you can build with confidence instead of guessing.This is a live build session.Bring a real athlete.Leave with a sequenced program, a load and taper plan, and a repeatable method for diagnosing both.

Diagnose why programs fail, build with confidence, and stop guessing every programming decision.

Diagnose exactly where a program fails — not just that it did

Build a complete program for a real athlete — in the right order

Know exactly when to push, when to back off, and when to peak

Return to the diagnostic with real tools in hand

Coaches who can feel when a program isn't working but don't have a precise way to say why

Trainers who are designing programs session by session and want a repeatable method for catching problems before they cost an athlete

Strength coaches who make load and periodization decisions by feel and need a framework that holds up across different athletes and blocks

Leave with a diagnosis of where your organization stands and a transformation plan your leadership can act on.

Frontier Tech Operator & AI Advisor 

Jory Des Jardins

AI Transformation Advisor | Frontier Tech, GTM, Future of Work | 30+ Companies

Founding Cohort -- Fall 2026

Most organizations are measuring the wrong things, restructuring before they've mapped anything, and calling it transformation.The professionals who get this right aren't the fastest adopters. They're the ones who understood what was at stake before everyone else did — and designed their organization's response deliberately.This course exists because that kind of thinking doesn't happen by accident. It requires a framework, a diagnostic process, and a peer community of senior operators who are navigating the same decisions you are.In four weeks you'll map your organization's AI trajectory, build a decision rights structure for your function, sequence a measurement plan your leadership can act on, and assemble a transformation design document you can walk into an executive conversation with the week after the course ends.Not a certificate. Not a survey of tools. A working artifact and a framework you'll use for years.

The leaders who get AI transformation right design it deliberately 

1. Diagnose where your organization's AI transformation is actually heading.  

"Pre-structure" how work gets done before you restructure who does it.

Sequence your transformation metrics correctly.

Protect your organization's judgment pipeline, and leave with an action plan.

Option to share your plan with Jory for direct review, during or post-course.

Senior operators — Chief of Staff, VP People, Head of Talent, function leaders responsible for how AI is integrated into their organization.

CHROs, CPOs, HRBPs at mid-to-large organizations navigating workforce restructuring, role redesign, capability planning during AI adoption.

Operators, senior managers, team leads, department heads, senior ICs leading AI transformation from the inside, strategy and execution.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Product managers who drive strategy, development, and launch of products.

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Setting strategic direction, making high-stakes decisions, and translating vision into execution.

Identifying opportunities and validating what to build through customer research, experimentation, and prioritization.

Developing intuition for what makes a great product — evaluating ideas, understanding user needs, and making tradeoff decisions.

How to Decide What to Automate Before the Engineer Guesses

What you'll learn

Why this topic matters

You'll learn from

John P. Dentico, Ed.D., AIMP