Why we built this

We are building what we wanted on the other side of the table.

One of us spent two decades as the operator on the receiving end of this work, holding the P&L while somebody else’s deck landed on the desk. The other spent fifteen years running that work inside a global consulting firm.

Both of those seats have the same complaint. The analysis was usually good. It was slow, it cost a fortune, and it stopped at the recommendation, which is the point at which the actual work starts.

What changed is that procurement turns out to be one of the best things AI has ever been pointed at. Not because the technology is impressive, but because of the specific shape of this particular job.

You do not have to predict the future

AI is unreliable at guessing what happens next. Procurement never asks it to. What did you buy, from whom, at what price, on what terms. Every question that matters has already happened, and sits in data somebody already has.

The data is always a mess

Vendor names spelled four ways, categories nobody maintains, a general ledger built for accounting rather than for sourcing. Cleaning and structuring that used to be most of the cost of a diagnostic. It is now the cheapest part.

Breadth used to be the constraint

Understanding a category properly, across every market a company buys in, was limited by how many people you could put on it and for how long. That ceiling has moved, and it moved a long way.

Judgment did not get cheaper

Knowing which opportunity is real, which supplier relationship is load-bearing, and what to do on the Tuesday after the analysis lands is still a person who has done it before. That part we are not automating, and would not want to.

So the work that used to take a large team a quarter takes a small one a few weeks, and the money that used to go into producing the analysis goes into staying long enough to capture what it found. That is the whole company, and it is the firm we would have wanted on either side of the table.

Who you would be working with

Trevor McCaw

Trevor McCawon LinkedIn

Co-Founder

Former medical-device CEO · four-time founder

Two decades building and leading companies that scale, clear the FDA and return capital. Full P&L ownership across multiple facilities, one revenue turnaround, and a 2023 NASDAQ IPO. Brings the operator’s seat to work our clients sit in every day.

BCGHarvardQueen's UniversityNASDAQ IPO4× Founder
Jim Williams

Jim Williamson LinkedIn

Co-Founder

Former leader of the global Product Development & Procurement practice, McKinsey & Company

Fifteen years at McKinsey, where he built many of the sourcing, design-to-value and margin-optimization methods still used across industries. Engineer, thirteen patents, product portfolios owned end to end.

McKinsey & CompanyKelloggNorthwesternStanfordUCLA

Start with one company.

Thirty minutes on one company’s spend, and we will tell you what we would expect to find and roughly what it is worth. If there is not enough there, we will say so.

No commitment, and nothing to demo. Just a conversation.