Embedded work does not scale like software, and we will not pretend it does. We take a small number of executives at a time. Begin with a single sprint, or place an operator on the bench for the long run.
The clearest, lowest-commitment way to see what this does to a leader's week. In thirty days we assess, plan, and build your executive's first three power-user workflows on their real work.
—Full usage assessment and a tailored 30-day plan
—Three recurring tasks rebuilt as repeatable workflows
—Daily Slack access for the duration of the sprint
—A documented playbook of everything we build
A Forward-Deployed Operator in the loop every week — the path to a true power user within a quarter. Continuous system-building, daily access, and a playbook library that keeps compounding long after the basics are second nature.
—Weekly 1:1 working sessions on live work
—Daily Slack access and async written feedback
—At least one new system built every month
—Documented executive playbooks, kept current
—Office hours your executive can bring questions to
For firms extending AI fluency across the whole C-suite. A shared playbook library, office hours, workshops, and a top-down adoption programme built around your team — the foundation that scales fluency into the wider organisation in year two.
—Multiple executives under one coordinated programme
—A shared, firm-wide playbook library
—Office hours and workshops to keep adoption sticky
—A foundation to scale into broader teams
No. Training ends; this builds. We coach on real work and ship working systems alongside your executive — and stay in the loop until the new way of working holds on its own.
Not at all. Our operators handle everything technical. The entire point is to make a non-technical senior leader fluent without turning them into an engineer.
Within thirty days, at least three recurring tasks already run a different way. We measure success by what their week looks like, not by hours logged.
Primarily Claude across every surface — Projects, Skills, Code, Cowork, MCP integrations, and the API — applied to research, writing, analysis, synthesis, automation, and agents.
Because the work is embedded and senior. We would rather take a handful of executives and change their week than scale thin and change no one's.