EcoX AI

Is Your AI Pilot Ready to Scale? Free   Diagnostic Workshop

Jones Lang LaSalle

Cisco

Duke University

Johnson Controls

Virginia Tech

Dr. Ramya Ravichandar

PhD in CS | AI & Product Leader | Advisor to Fortune 100 Enterprises

Use a simple 5-question scorecard to identify whether your project is in Proof of Concept/Impact/Scale

Diagnose where your AI pilot really sits

Cut through the noise and uncover the organizational, technical, and feedback gaps that stop AI initiatives from deliver

Spot the real reasons pilots stall

See how data, decisions, and human input work together  and sketch the one loop your AI needs to start learning

Map your first feedback loop

You leave with frameworks for real organizational change, the kind you can start putting to work the week you get back.

3x CPTO | CEO, ChatPRD | Host, How I AI

LaunchDarkly

Color

Optimizely

Claire Vo

3x CPTO, Founder ChatPRD, and Host of How I AI. Expert on AI transformation.

Principal Engineer | Prev. Dir of Eng

Atlassian

Zach Davis

Principal Engineer who implemented AI across a 100+ person org at LaunchDarkly.

Cohort 1

Cohort 2

Your operating model is the bottleneck, not your AI tools.This is the two-day intensive for senior EPD leaders who need to change how their whole organization works around AI. You'll leave with specific tactics, real examples, and a peer group for accountability + inspiration.You bought the licenses. But a few power users racing ahead while everyone else trails isn't transformation. Real change doesn't come from individual heroics. It comes from restructuring how the work actually flows.Three things have to change at once, and many leaders aren't sure where to get started:<ul><li>Culture: lead by example and make adoption the default across every function, not one champion's side project.</li><li>Technical readiness: understand the rules, feedback loops, and guardrails that make your codebase actually work for agents.</li><li>Operating model: recalibrate timelines, rethink roles, and redesign how work ships.</li></ul>Taught by operators who've done this inside real orgs, not consultants who've read about it.Self-funding the course? Use code <code>SELF</code> for $1,000 off.

Learn how to go from AI tool adoption to team impact and product velocity.

Know where AI creates real leverage, and where it doesn't 

Prepare for and lead the hard conversations

Redesign your operating model for the full EPD org

Understand what makes a codebase ready for agents

Build a culture that actually adopts

VPs of Engineering and CTOs who need a real answer when the board asks "what's our AI strategy?", not just "we bought licenses."

CPOs, VPs of Product, and Design leaders driving AI change across the whole org as prototyping goes nearly free and roles blur.

Staff and Principal Engineers tapped to "figure out AI" for the org, who need both the playbook and the leverage to make it work.

Shift from ad hoc AI efforts to disciplined, structured, workflow-driven collaboration before significant investment.

Workshop Lead: Netflix, Google, LinkedIn

Google

Netflix

Microsoft

LinkedIn

Paul Bryan

I help organizations design and develop AI products that deliver business value.

July 2026 Cohort

<blockquote>AI applied to the wrong workflows leads to chaos. This course helps Enterprise teams launch successful AI pilots by aligning on workflows, roles &amp; responsibilities, risks, guardrails, and AI functional requirements before major investments.Industry reports suggest that over half of enterprise AI pilots never scale to production. Many pilots stall because the workflows were not ready for AI.This course addresses the real bottleneck: cross-functional alignment on key details before committing to technical debt.You will leave with:<ul><li>An AI Workflow Canvas: A structured way to identify where AI can move the needle in your organization</li><li>An AI Workflow Scorecard: A shared evaluation framework your cross-functional team can use to assess value, feasibility, data readiness, and risk</li><li>A Thin-Slice Prototype: Storyboards, scene cards, and an action flow diagram that aligns stakeholders across PM, DS, UX, Eng, and Biz on exactly what the AI system will do, feasibility and risk, and where humans are needed in the loop.</li></ul></blockquote>

Identify High-ROI Workflows Ready for AI

Identify high-friction workflows suitable for Enterprise AI

Prioritize AI initiatives using structured evaluation criteria

Clarify roles and decision rights before pilot launch

Surface feasibility and governance risks early

Make AI behavior visible to cross-functional stakeholders

Define readiness criteria before committing to a pilot

AI product team members (PM, UX, DS, ENG) who need a shared framework to align on workflows, feasibility, and responsibility before building

Product and business leaders accountable for Enterprise AI outcomes who must prioritize workflows and reduce risk before committing budget

AI governance, legal, and risk stakeholders who need structured ways to surface constraints, guardrails, &amp; ownership early in AI initiatives

Master the systems to stop micromanaging and transition from a referee to an orchestrator of a self-running team.

Founder at The Strength Hack

Daimler AG

Airbus

Audi

Toll Collect GmbH

Murk Creusen

Founder & Leadership Coach at Strength Hack

Founding Cohort

You cannot fix burnout by working harder. You have a matching problem.AI is making your team's hard technical skills obsolete faster than they can learn them. You cannot fix this "AI anxiety" or burnout by asking them to work harder. You don't have an effort problem; you have a matching problem.Most Engineering Managers spend 70% of their week trapped in the "Mediocrity Loop" - refereeing personality clashes, fixing broken handoffs, and watching their team's shared knowledge collapse as junior roles vanish. You're bleeding runway and morale.This 30-day accelerator gives you the system to break out. Using the Big Five (or CliftonStrengths) assessment, a proven framework, and the Strength Hack AI, you'll map your team's cognitive architecture and engineer the conditions for psychological safety - not just hope for it.In 4 weeks, you will:<ul><li>Stop Generalist Exhaustion: Identify energy leaks and delegate based on Cognitive Fit, not calendar space. </li><li>Engineer Swift Trust: Use the 6-dimension Matching Compass to translate friction into synergy.</li><li>Drive ROI: Transition from a reactive referee to a strategic orchestrator</li></ul>

Engineer Psychological Safety. Stop Refereeing Your Team.

Shortcut the "Storming" Phase to Engineer Swift Trust

Reclaim 70% of Your Week (Plug the Energy Leak)

Turn Personality Clashes into Solvable Data

Restore the "Who Knows What" Architecture Your Team Lost

Walk Away with a "Plug-and-Play" Facilitation Kit

To get ROI from this course, a real-world team (direct reports or agile squads) is recommended to apply the Matching Compass frameworks.

Team Leadership or Management Role

You must take the free Big Five test (or CliftonStrengths) before to map your personal psychological operating system.

Completion of a Baseline Assessment

The Overwhelmed Engineering Manager / Tech LeadYou lead a hybrid or remote team. You want a data-driven system, not another workshop.

The Ambitious Senior / Staff Engineer<blockquote>You're moving to people manager. You want proven frameworks to lead a team without micromanaging.</blockquote>

The People-Conscious CTO / CPO<blockquote>You own culture and delivery for 10–200 people. Your board wants AI readiness. You need L&amp;D that's credible.</blockquote>

Develop confidence in your AI-fluency, to the extent that you can make million dollar decisions that inspire your team and your board.

Operator running a 14-agent AI business.

Meliora

Nine Entertainment

Singtel

Krish Raja

Ex-coder, product strategist and proven revenue leader in the technology sector.

Every senior leader I have sat with in the last year has the same private tell. They want to be more AI-confident. They know their team is self learning in a language they don't have time to get across. They know the next panel question, the next board question, the next hire, the next all-hands is going to expose the gap. They have been buying time outsourcing the final decision.AI is not software. Software was built to be used by humans. Agentic AI is built to be used by other AI. That shift changes the shape of a business, the shape of an org chart, and the shape of executive work itself. Leaders who operate for the next ten years the way they operated for the last ten are at risk. Not because AI replaces them. Because the leaders next to them become three times more capable, and the race to the bottom on efficiency does the rest.The way out is not another literacy deck. It is reps. It is fingers on the tools. It is the practice of operating with AI daily, in public, in front of peers who will not let you bluff. AI learned to speak English. You have not learned to speak AI. This programme is four weeks of doing exactly that, anchored to something real you have to ship.

Four weeks to level up and close the gap on your AI potential.

Walk out with the decision made

Stop spending six figures on the wrong vendor

Walk the walk before you talk the talk

Become the senior operator with the clearest read on AI in your company

Build your private, portable memory web

Run Mind Set → Mind Map → Mind Make on every future AI call

Need to show strength in publicYou're being asked to present your AI strategy on stage, to a board or to inspire your team.

On the hookYou own the budget, and need to make a high value decision on AI in the next 90 days.

The glue in the businessYou're the one tasked with operationalizing AI inside your org and need more clarity on where to start.