Luisa Herrmann

Deep Data & Product Leader — 15 years turning cool tech into business outcomes

Why AI Initiatives Fail — And How to Make Them Succeed

Deep Data & Product Leader - 15 years turning cool tech into business outcomes

You'll learn why adoption stalls even when the technology works — and why throwing more training at it won't fix it.

You're paying for AI tools your team isn't using

You'll identify the real barriers — mismatched expectations, poor fit for workflows, technology people don't trust.

What's actually blocking ROI

You'll leave understanding what you have, what it actually does, and how to promote usage.

How to turn a large expense into a success story

Lead AI initiatives with clear goals, defensible evaluation, explicit risk decisions, and exec updates that drive alignment and investment.

CPO, GM xBraintrust, Nextdoor, OpenTable

Braintrust 🧠

Nextdoor

LiquidSpace I Work from where it works.

OpenTable

BlackRock

Elena Luneva

f-CPO. Product executive (Braintrust, Nextdoor, OpenTable, LiquidSpace)

Ex-Alexa AI Principal PM

Amazon

Elsevier

Schneider Electric

Polly Allen

Ex-Alexa AI PM turned founder at AI Career Boost

Magic

Juggernauts

AI increases what your ICs can do. It also breaks the management systems most teams rely on.Prototypes multiply. Quality becomes subjective. Risk ships quietly. You end up in every review because no one is sure what "good" looks like — or who's accountable for evals, failure modes, and rollout decisions.If you're a Director, Head of Product, or VP with multiple AI initiatives in flight: you're managing something you didn't build a system for yet. Execs keep asking "How do we know it's good?" and "What's the ROI?" — and you're the one fielding it.This two-day workshop gives you the operating system. Not theory. Not frameworks. The actual playbooks, artifacts, and rituals high-performing, AI-native teams use — built during the workshop so you leave with real deliverables, not homework.Leave with:1. A 90-day AI portfolio — clear bets, owners, and decision gates so nothing gets orphaned2. A repeatable risk review process your team can run without pulling you in3. A shared quality bar — examples, acceptance criteria, and review gates so "is this good enough?" stops being a judgment call4. Reusable operating artifacts built during the workshop — actual deliverables, not slides

Get the operating system used by high-performing AI-native teams

Install an AI-native operating cadence that keeps speed and alignment

Run AI risk reviews that drive decisions and confidence

Own and drive evaluation metrics and process, before and after launch

Implement playbooks that let your team move with you, not wait for you

Director/Head of Product: Leads AI initiatives; turns prototypes into production with clear quality, gates, and exec updates.

Eng leader (Sr Mgr/Dir/VP): Ships AI fast while managing reliability, security, and cost with consistent eval + risk reviews.

Data/ML leader (Dir/Head): Owns evals and performance; aligns product and execs with shared language and decision-ready tradeoffs.

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.

Microsoft

Meliora

Nine Entertainment

Singtel

Krish Raja

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

Cohort 1

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.

Learn enough about AI to elevate your role, lead adoption on your team & become indispensable. As work itself changes, make AI work for you.

Bringing advanced AI to business leaders

Aura

TRM Labs

Nike

Sony

Neiman Marcus

Jay Wolff

CxO: Finsweet, Two Bit (BFeld), Odopod (nurun), Big Hand (RRRR), BHAP (JFairfax)

This cohort meets Mondays, 11am PST. Look for other cohorts to accommodate different time zones.

Cohort 12: JULY MON PacRim

We all feel left behind—especially leaders, managers &amp; busy execs. AI is moving so fast, it's overwhelming; even paralyzing. To catch up, it's hard to know where to begin. You're an expert at your business—which takes all of your time and focus. You need a direct line to AI Fluency, no matter what AI tool you or your enterprise have chosen. A few attempts each week, plus a few webinars, won't change how your work actually gets done. The "promise of 10x" will stay on the other side, somewhere, while the executives who've figured it out already are directing AI with real impact. You need down-to-earth, tool-agnostic skills &amp; insights, made for business, to catch you up—now, not later. This is our Week 1.THIS COURSE puts you in an AI-capable seat everywhere it's required—with your team, your board &amp; investors, your customers. This course will give you a professional foundation &amp; defensible point of view. The question isn't whether AI is changing your role. It's whether you'll lead the change or be impacted by it.True AI adoption takes work—practice, thought, and effort. But what looks like a race is really a migration, and there is absolutely no need for you to be last.

Build real AI fluency—Pro-level use of AI at work 

Confront the inevitable impact of AI at work—before your competition

Register what makes work "AI-ready"

Map what's required to shift work from your role to AI

Catch up to the 5% who put AI to work at a level that actually matters

Get ahead of 'just delegating' as AI scales

Executives: Your plate is already full—you are needed in many conversations about AI and need the vocab &amp; context to weigh in confidently.

Owners &amp; operators who run everything: You need to leverage AI asap, without having to become the tech or IT department yourself.

Team leads whose teams use AI without standards or direction—you want to support growth, but need to turn AI activity into real AI adoption.

Bad Learning Design Is Costing You Customers — Here's the Science Behind It

Learning Scientist | L&D Strategist

Vanorsdale Learning Lab

Great Game of Business

Docebo

National Alliance on Mental Illness Florida

English Like a Native

Dr. Christie Vanorsdale, Ed.D, Ms.Ed.

Researcher. Practitioner. 15 years translating learning science into results

You've updated the onboarding. Rebuilt the knowledge base. Added walkthrough videos, help articles, live training sessions. Your customers still aren't adopting the product the way you need them to.The instinct is to fix the content. More of it. Make it Better, or Shorter. More visual. But, the problem isn't the content.It's that content was never designed to produce learning in the first place.Human beings don't retain complex knowledge because they watched a video or completed a walkthrough. Retention requires intentional sequencing, cognitive scaffolding, and an architecture that reduces friction rather than creates it. Most customer onboarding violates every one of those principles — not because the people who built it weren't smart, but because they were never taught what learning science actually says about how knowledge transfers.This workshop gives founders and leaders the diagnostic framework to identify exactly where their customer education breaks down — and the research-backed principles to fix it. You'll leave with a clear line of sight between learning architecture and the revenue outcomes you actually care about: adoption, retention, and renewal.

Learn the science behind knowledge transfer and leave with a diagnostic framework that connects learning architecture to business outcomes.

Understand why customers aren't retaining your product using learning science

Pinpoint exactly where your customer onboarding breaks down

Apply three evidence-based principles to improve product adoption

Connect learning design decisions to churn, adoption, and renewal.

The Scaling Founder Complex product. Customers churn before reaching value. Onboarding feels broken but there's no framework to diagnose why

The Customer Success Leader Owns onboarding and renewals. Content exists but adoption is flat. Needs a framework and internal buy-in.

The L&amp;D Manager Fixing customer education with no infrastructure or alignment. Knows training theory. Missing the revenue impact language

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

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

Operations professionals who optimize processes and manage day-to-day business functions.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Leading organizational AI adoption — change management, strategy, and building AI-ready teams.

Why AI Initiatives Fail — And How to Make Them Succeed

What you'll learn

Why this topic matters

You'll learn from

Luisa Herrmann