Work That MattersRequest a free 30 min working session

A 12-week residency inside your company

You bought the AI.The work didn't change.

AI isn't a tool your people use. It's a team they manage. Nobody prepared them for that.

Request a free 30 min working session How it works

The pattern

The tools arrived. The org stayed the same.

Pattern 01No business result

You bought licenses. There’s no evidence it helped the business.

People are using it. No cost, cycle time, or revenue number moved.

Market signalMIT NANDA, 2025

5% of AI pilots show measurable P&L impact

Anonymous · one response per card

Pattern 02Stuck at chat

People use it to write emails and look things up.

That’s the ceiling. Nobody moved past chat into anything that runs on its own.

Market signalAI in Real Estate Survey, 2026

Two-thirds of organizations haven’t moved past basic chat

Anonymous · one response per card

Pattern 03Never reached production

You gave people time to experiment. Nothing real came out of it.

Some good prototypes, a few demos. Nothing the business actually depends on.

Market signalMIT NANDA, 2025

5% of custom AI systems reach production

Anonymous · one response per card

Pattern 04Decisions route to you

You cut managers. Now there’s more confusion and more decisions on your desk.

Fewer layers, same approvals, and they all route to you.

Market signalKorn Ferry, 2025

41% of employees say their company cut management layers; 37% feel directionless

Anonymous · one response per card

The numbers behind the pattern

The evidence

Most pilots move nothing. Very few companies make the leap from isolated use to a new way of operating.

Finding 01Failure rate

95%

No measurable P&L impact.That's the result for nearly every enterprise AI pilot.

Finding 02The exception

8%

Reach advanced adoption. Most mid-sized businesses stall at one or two use cases with no strategy behind them.

Sources: MIT Media Lab / Project NANDA, “The GenAI Divide: State of AI in Business 2025,” preliminary findings · SMB Group.

The uncomfortable truth

You don’t get ROI from AI by using it like a tool. You get it by managing it like a person.

Where it’s going

The shift underneath this

Everyone’s job becomes running a team of agents. The only question is how long it takes your company to get there.

What could one of your people build in 12 weeks?

Three inputs. We’ll show you candidate projects someone already on your payroll could build, and the metric each one moves.

Turn one candidate into a real twelve-week build.Request a free 30 min working session

How it works

Twelve weeks. Twelve real problems. Something in production at the end.

A residency that runs inside your company — no exercises. Each person takes a real problem they’re close to, builds a system of agents that handles it, and puts it into production.

Weeks 01–02

Phase 01

Find it

A problem in the business worth owning, close enough to them that they already understand it.

Week 03

Phase 02

Frame it

The outcome, the constraints, who’s affected, what they’re authorized to decide.

Weeks 04–09

Phase 03

Build it

A working system of agents, built by them, never for them.

Weeks 10–12

Phase 04

Run it

Live on real company data, in real use, with a before-and-after number agreed in week two.

12 weeks6–12 people8 protected hours a weekExecutive sponsorAccess to real systems and dataBuilt by your people, never by us

Your people build something your company depends on, or we shouldn’t do this.

Twelve weeks, real stakes. Whatever they build has to survive your actual business, not a case study — and if every meaningful call still routes to you for sign-off, there’s nothing for them to run. It’s the first thing we test on a call.

You’ve already spent on AI, cut layers, or frozen hiring

You need real change in efficiency and margins, not higher tool usage

You can name three problems worth someone owning

You have capable people carrying less than they could

Something they build could be in use by week twelve

You want an AI workshop

You want your team better at prompting

Participants would work on practice exercises

Nothing they build would go near a real customer or process

Every meaningful call still needs your sign-off

Recognize your company in the strong-fit column?Request a free 30 min working session

Terms

If nothing ships, 100% of the fee comes back.

“Ships” means running on real company data, in real use, by week twelve. If it isn’t, the full $5,000 fee is refunded.

Program fee$5,000Per person · twelve weeks

Shipping guarantee100%back if nothing ships

Executive sponsorAccess to real systems8 protected hours a week

The first thing they build should pay for the program. Everything they build after that is yours.

Bring one real problem. Leave knowing whether this fits.Request a free 30 min working session

Who runs it

Ryan York

Co-founder & Chief Product and Technology Officer at Willow Education

Operator first

Twenty years building teams, institutions, and software people actually depend on.

Ryan has led from the classroom, the principal's office, the executive team, and the product seat. He co-founded and co-led a 650-student public charter school, hired and managed more than 200 people, and ran an annual budget exceeding $8 million.

500%User growth in his first 90 days at Willow, with 100% uptime

10,000+Students reached by platforms and programs he led

100+Public schools adopted the computer science program he built

Today he builds AI products at Willow and runs his own work through multi-agent systems. This residency teaches the operating model he uses himself.

A stone path climbing a moody cliff toward a lighthouse.

A working session

Find out where your AI investment is stuck.

Forty-five minutes. We’ll look at where AI-enabled work is breaking down in your company — problem selection, authority, judgment, or adoption — and you’ll leave with the answer whether or not you work with us.