Your AI pilots
aren’t failing.
They’re stuck
in purgatory.
Every senior executive we talk to has the same drawer: a couple of AI pilots that never shipped, a subscription nobody remembers approving, and a board that keeps asking for a number nobody can produce. We pick one workflow, finish it for real, and hand you a number you can defend, in four to six weeks, for a fraction of what a big firm charges.
Start with one workflow →No 100-page strategy deck. No proof of concept that quietly dies in someone’s inbox.
The shift
Every org chart in America is a pyramid. A wide base doing the transactional work. A narrow top making the calls. It was built for a world where only humans could do the work.
That world is over. AI can run the base now. The shape that replaces the pyramid is a diamond: judgment concentrated in the middle and the top, an AI workforce running everything underneath it. The scarce thing stops being headcount. It becomes judgment.
Whether you built this org chart or inherited it, it’s still a pyramid. The shape has to change either way.
Pilot purgatory
Bain’s own research puts a number on the gap: only 23% of companies can tie their AI spending to a real dollar of revenue gained or cost saved. A CFO Dive survey found 92% of CFOs feel pressure to show the board AI is paying off, whether the number exists yet or not. Everyone else got stuck exactly where you are right now. We have a name for that place. Pilot purgatory. A drawer full of half-finished workflows, and no one willing to say out loud that it isn’t working yet.
Here’s why it happens. Someone sold you a strategy. Nobody connected it to how the work actually gets done, and the pilot died in the seam between the two. Strategy, operations, and execution are one connected thing. The industry sells them as three separate engagements from three separate vendors, and leaves you to do the connecting yourself. That’s not a technology problem. That’s the problem.
There was a time every company accepted an eighteen-to-twenty-four-month software backlog as just how corporate IT worked. Nobody accepts that anymore. The same shift is hitting knowledge work right now, and a ninety-day, hundred-page deck is next on the list of things to stop accepting. Right now you have three ways people still try to fix this. Don’t accept any of them.
The middle of your company, where the judgment actually lives, is served by no one. That’s where we work.
Three steps. Each one earns the next.
Prove it.
Four to six weeks, fixed price. You don’t need to already know which workflow to fix, most companies don’t. Our framework finds the highest-leverage bottleneck first, then we baseline it, rebuild it with your people and AI, and hand you a signed before-and-after number.
Compound it.
Sprint by sprint, workflow by workflow. Your people move into higher-judgment work as the AI workforce takes on what used to eat their week.
Run it.
The ongoing retainer. A regular scorecard, monthly scans for the next opportunity, and a skill library that keeps growing, built from how your company actually works.
These are our own numbers, from our own operating work, before this was a company. We know how they read. Ask us for the math and we’ll walk you through every line of it. Every client case that follows will carry the same rule: baselined in week one, signed by you before it goes on this page.
Four operators. Not four hundred consultants.
The AI-native operator
Runs AI-native growth and operations across a live portfolio of companies. If it’s on this site, it’s been run somewhere first.
The AI depth
Nearly two decades building production AI inside a Fortune 50 company. He’s the reason the AI workforce is real infrastructure, not a demo.
The business anatomist
Twenty-five years building alliances and partner ecosystems for the biggest names in tech.
The commercial connector
A Wharton MBA who spent eight years running strategy inside a real mid-market manufacturer.
Your project never needed fourteen people on it. It needed the right few. We’ve built inside venture-stage startups, mid-market manufacturers, and the biggest tech companies in the world, and when a sprint needs a specific builder, designer, or specialist, we pull one from a network we already trust, so you get exactly the right person for the job, not a bench of juniors billed to you by the hour.
Nobody here learned business from a prompt.
Straight answers.
Is this about cutting my people?
No. Every sprint moves someone up into higher-judgment work. The only work that goes away is the work a machine should have taken over years ago.
What if it doesn’t work?
We baseline the numbers in week one and you sign off on them yourself. You’ll know inside of weeks, not after another board meeting where you’re the one explaining a number that doesn’t exist. If you already told your board or your investors that AI was coming, this is how you make that true.
Is our data ready?
Almost certainly not. Neither is anyone else’s. Cleaning it up is step one of the work, not an excuse to wait another year.
We’re a fund with a dozen portfolio companies, all running on something different.
That’s exactly the problem our framework was built for. We run the same battle-tested diagnostic at every company, find the highest-leverage bottleneck at each one, and hand you one comparable scorecard across the whole portfolio, not twelve consultants with twelve different opinions.
Our first meeting is 45 minutes, and it isn’t a pitch.
We come with a point of view on your business already researched: where we’d start, and what it’s worth. You keep that thinking whether you hire us or not.
Start with one workflow →Email goes to the four of us, not a funnel. You’ll hear back within one business day.