Your teams are experimenting with AI. In two days, you'll know which experiments deserve real money.
Executive AI Bootcamp
Two days with your leadership team, built around the decisions you actually make rather than a generic curriculum. You leave with automations running, an owner on each one, and a stop date for anything that has not earned its place in ninety days.
We reply by email with three questions. No call unless you want one.
OpenAI and Anthropic certified Tadpull as one of the first forward-deployed commerce partners. Yeti and Bass Pro Shops each acquired a brand we spent years building.
Nobody can tell you if it's working.
Most leadership teams can name the AI pilots running in their organization. Far fewer can say which ones moved a number, who owns them, or what happens when the person who built them leaves.
The pilots are cheap, so waste is not the real problem. The problem is the next decision, when somebody asks which of this deserves real budget and the answer has to be better than a feeling.
What is still running next year?
The same automation can become a capability the organization owns or a loose end nobody can account for. The difference is not technical.
Who runs the room:
Jake Cook is a professor and active researcher at Harvard Business School, where he runs research with the HBS AI Institute on agentic commerce. Dr. Eulalie Cook holds a PhD in consumer choice.
They have run Tadpull since 2013 without outside capital, and stayed with two client companies all the way to acquisition by public buyers. Most firms pitching AI have never worked a position to a transaction.
Jake Cook, Harvard Business School Lecturer
Eulalie Cook, Ph.D.
How it works
A short scoping conversation about the decisions and workflows your team wants to work on, so day one starts on your business rather than on introductions.
01 BEFORE THE SESSION
Your leadership team in one room, working on real decisions from your business. We map where AI changes the cost of getting work done and where it does not, then build the first automations live. People leave having built something, not having watched a demo.
02 THE TWO DAYS
03 THE NINETY DAYS AFTER
A written plan with owners, metrics, and a stop date for every initiative.
“The project I started in your class has been selected as a finalist for an award for AI in Content Marketing. Thanks again for a great class.”
WHAT CAME OUT OF THE ROOM
VP OF DIGITAL MARKETING, B2B
Comments and Questions
How is this different from an AI readiness assessment?
An assessment produces a deck. This produces automations running in the company's own environment before anyone leaves the room. If you need a market scan, a consultancy does that well. If you need something operating by the end of the month, that is a different exercise.
We already have Claude and OpenAI licenses.
Having AI and using AI are different things, and most of the gap is cultural rather than technical. We published on this with the head of B2B marketing at OpenAI. Licenses are the easy part. The hard part is the data foundation underneath and a team that knows what to build on it.
Why you rather than a firm built for this in 2023?
Tadpull has been bootstrapped and profitable since 2013, which means the methodology was producing returns before there was AI money to raise against it. The AI layer sits on seven years of commerce data infrastructure, not the other way round.
It is, and that is what the stop date is for. Within ninety days you know which initiatives deserve budget and which should end. Most organizations take a year to get there.
Two days is a lot of senior time.
TRY BEFORE YOU BUY
Hear how he thinks first.
Jake on Harvard Business School Online’s The Parlor Room
BRANDS WE’VE HELPED BUILD WITH THE POWER OF AI AND DATA
START WITH ONE TEAM