Choose the companies, line up the sponsor
We work with you to choose the first company, starting with an AI opportunity audit. Once we know where the value is, we get the sponsor committed and agree on how to measure what we deliver.
PE and portfolios
You already know AI can create value across the portfolio. The question is where to begin. We start with one or two companies, prove it on real workflows in weeks, then turn what works into a playbook you can run again.
One AI team across the whole portfolio. What works at one company carries to the next.
Operators who ship automations in weeks, not quarters.
Institutional knowledge captured and structured, so it survives transitions and AI can act on it.
ROI in your language: EBITDA, hours saved, cost taken out.
Full documentation and a clean handoff, whether we stay on or hand to management.
The AI operating partner you don't have to hire.
How we work
We embed an operator in one or two companies and ship value on real workflows. The results tell us where to take the playbook next.
Map the work, rank the opportunities
Our operator spends time with the teams, learns how the work actually runs, and ranks the opportunities by what will create the most value and can realistically get shipped.
Ship, then measure
We ship the top automations into production, document the handoff, and record what moved: hours recovered, cost reduced. We keep iterating on what's live. Then we take the playbook to the next company.
How we engage
Embedded operator per company
A senior operator embeds with one company and runs the whole cycle, from the first discovery call to a documented handoff.
Portfolio-wide readiness
Readiness reviews and opportunity maps across several companies at once, grounded in what each one can realistically do.
Production AI builds
For the bigger bets that need a full team: pricing models, document intelligence, customer-facing AI.
Bring us the portfolio's hardest workflow.
Start with one company. We bring the team that ships.