About Goal Boss
The practice
We find the AI work worth doing, buy or build it, and get it adopted
Companies are buying AI faster than the people inside them can absorb it, and most of the return gets lost in that gap.
Goal Boss closes the gap one function at a time. The work starts by sitting with a company's senior experts, learning how they get results, and ranking what AI should be doing by annual value. Then the first system goes in, bought where a product fits and built where none does, and the managers get it running. A baseline is written down in week one, and the result is measured against it in week thirteen.
The human side is where most of the return is lost, so it gets the same attention as the build. Managers get the system before their teams do, along with language for the conversation those teams are about to have with them.
Private equity sponsors use the same sprint across a portfolio, one company at a time.
Why the practice exists
Most of the return on AI is lost after the software works
70%
of AI implementation challenges come from people and process. Technology accounts for 20% and the algorithms for 10%.
BCG, October 20248.7×
Employees whose manager actively backs AI use are 8.7 times as likely to say AI has transformed how work gets done in their organization.
Gallup, State of the Global Workplace 2026Read why AI projects fail, including the widely quoted figures that fall apart the moment you go looking for the study behind them.
Who we are
Will Pemble, founder
Will built and sold Web.com, one of the largest web hosts on earth, and ran the high-scale systems behind it. He has been a full-stack engineer since 1995 and has worked with AI and machine learning since 2018.
For over twenty years he has also worked with owners and leadership teams on one problem: getting people to do the work that moves the number. Goal Boss: The Art and Science of Getting Stuff Done is his method written down.
He builds AI systems himself when no product fits, working from how a company's senior experts get results. His background in hosted services and security goes back to Web.com, and Goal Boss builds to SOC 2 standards and runs its own penetration tests. The last two years of that work were for clients under confidentiality agreements, so this site names none of them. Judgment Day: How to Lead When AI Breaks Everything is the book that came out of it.
He is also a commercial, instrument-rated pilot. The habit underneath the practice comes from the cockpit: run the checklist before the thing that matters, and say the uncomfortable number out loud while there is still time to act on it.
Goal Boss Research LLC is based in Brookfield, Connecticut.
How we work
Three rules we will not trade away
A baseline before a build
Every sprint writes down the number it is trying to move before any system gets built. Without that number, nobody can check the result in week thirteen.
The experts stay in charge
Every system is built from how the company's own senior people get results. They review what it produces and stay accountable for it.
We never infer how anyone feels
Nothing we build reads sentiment or infers emotion from an employee. Inferring emotion at work is a prohibited practice under the EU AI Act, and it is the wrong way to earn a team's trust anyway. We ask people questions and we let them answer.
We are not financial advisors and we are not therapists. The pages on this site written for employees stay clear of both jobs.
Start with the number
The readiness assessment takes four minutes, covers five areas, and returns a set of flags you can take into your next leadership meeting. There is nothing to install and nobody to talk to first.
