Codify your firm's expertise, so that you move with AI, not hedge against it.
The standard lives in a few senior heads and in peer review. That makes it hard to hand to a new hire, hard to grow a team around, and hard for AI to work from. The result is faster output that sounds like everyone else's, and the same few people reviewing everything.
Clients are already asking why they need a firm when they have an AI. The firms that can answer with a written standard keep the work worth keeping, and the ones that can't get compared on speed.
A weekly working relationship with an internal lead, over months. We write the firm's standard down, test it on real work, and the lead runs it with the team.
Strategic advisor on building a next-gen, value-aligned platform for minority-majority startup founders.
We start by choosing a champion: someone process-minded, curious about AI, and close to the firm's best work. That's where the judgment is closest at hand. I meet with them every week. You join four times: a kickoff, two short check-ins and a readout. I coach, they build, and your team stays the author of all client work.
We pull 8 to 10 pieces of your best work and interview your champion against them: what good looks like, the voice, the review rules. Confidentiality limits are set up front, and sensitive client files stay out.
We pick the workflow that eats the most time and build it properly, with your champion driving and me directing. Every fix goes in a corrections log so it compounds. One done well beats two done thinly.
Your champion runs it without me and shows the team. The readout covers what accumulated, the time measurably back, and what to do next.
Writing a standard down isn't a one-time sprint. After the first 90 days, each strong piece of work adds an example, and the examples add up to a canon: the clearest statement of what your firm does and why it's hard to copy. That canon is your long-term moat, and it compounds.
Plain files your firm owns and can take to any tool: the standard, the voice, the review rules, one working build and the corrections log. A new hire learns it faster, and you have clearer language for what makes you different.
The goal was never faster tools. It was leverage.
We picked the first target, the weekly media scan, and ran a sourced-research workflow on a real week. Note-taking moved to a tool, not a person.
Reading a real strategy document, the internal lead saw what the firm couldn't yet point to: how it tactically delivers. "There's literally nothing to point to."
The scan was quick. The value was in the synthesis. Research from a real client engagement became the gold standard to work from.
About 20 minutes of prep saved per meeting, inbox triage handled, paid tools approved by the firm, and a first draft of the firm's own memory file.
In five weeks, the firm's internal lead went from using AI as a chat box to using it for leverage: knowing where it should carry the first pass and where the team's judgment stays human. That 80/20 keeps the firm's expertise its main growth lever, and the time that comes back goes to the work clients hire you for.
A short note first, so we can use our time well. Thirty minutes: we look at where your standard lives today and who inside the firm might lead it.