Seven engagements, each written through from the first day on the floor to the handoff.
Company names are held in confidence.
A national public relations agency was burning tokens haphazardly and could not get its people to use AI, and its practitioners were against it. An agent now does the gathering at the front of every pitch while the publicist still chooses the angle, and the firm's own enablement group builds what comes next.
Read the full case study.Three vendors had pitched AI scheduling tools, and three pilots had died quietly. A day on the floor found the real friction in a paper handoff between the field and billing; AI capture at that one handoff took invoice errors from 38% to single digits, made billing same-day, and recovered about three million dollars a year.
Read the full case study.An owner-led manufacturer took its industrial material to consumers under its own name for the first time, needing the output of a ten-person go-to-market team from a team a fraction of that size. The brand became a constitution precise enough to govern AI, a machine now drafts every listing with one human gate on every word, and the storefront grew to 19 SKUs while inventory holding fell by 80%.
Read the full case study.A wealth advisor owed every one of 280 clients a bespoke deliverable package twice a year, each taking hours by hand inside a season he compared to tax season. A living memory system now drafts each document in the firm's voice and points at exactly what needs human verification; production runs in minutes, the advisor signs everything, and the capability is rolling out across the practice.
Read the full case study.An eighty-person law practice was already looking for a COO when we met them to talk about where AI could help. A day inside the practice found the real leak at a front door nobody owned; the intake system now answers new inquiries in minutes at any hour, screens for merit, books the right attorney's calendar, and the firm runs cleaner today than it did when it was half the size.
Read the full case study.A SaaS company building an AI platform was deploying it for everyone except themselves. We ran the company on its own product, operations first and then customer success, then turned that deployment inside out into the training program its customers now use to operate AI in their own businesses.
Read the full case study.A three-principal medtech venture studio sourced deals on the CEO's own reading hours, one opportunity at a time, in a market of hundreds of commercialization sites. A private sourcing and qualification engine now reads the literature continuously and scores every opportunity against the studio's thesis; the principals went from one read at a time to hundreds a week, spending their evaluation hours only on candidates the funnel earned.
Read the full case study.Every one of these engagements started on the floor. We watched the work, talked to the people doing it, and found where AI actually fit before building anything. Most of them started with a day: a fixed-fee day in the business with leadership, real work, not slides, and a playbook within two weeks. Then a decision.
Start with a Day OneA fixed-fee day in your business with your leadership. Real work, not slides. Two weeks later you have a playbook, yours to run with us or without us. Day One.
You know what you want built. Tell us what it is. Inquire.
The systems are there and your people are not using them. We start with the work they actually do. Inquire.
