Expert Programs.

Most early-stage ventures hit the same wall: growing brand awareness economically, finding lead generation channels that actually repeat, and building sales systems that scale. This program hands you a field-tested go-to-market gameplan and a growth engine run by AI-native agents, built with a founder who has done it five times.

The board wants an AI strategy, the CEO wants efficiency, and your team wants to know their jobs are safe. AI fluency has moved from “nice to have” to the capability boards now screen senior People leaders for. This peer advisory program gives you the AI systems — and the standing — to answer all three.

A guided, cohort-based sprint that takes your operator experience and turns it into an investor’s edge — a written thesis, a live deal tracker, and one fully evaluated opportunity.

Your best knowledge is already written down. Build a private knowledge layer Claude can query in plain language, and get answers from what you actually know.

AI made building cheap. Not knowing your customer is what gets expensive. Six weeks to map your customer across 19 dimensions, run real interviews, lock an ICP you can defend, and leave with decision briefs instead of assumptions.

You’ve spent 15 years building value for other people’s companies. Now it’s time to build your portfolio. A 12-week cohort that takes you to your first investment made.

Go from qualified to in market in four weeks. Build the assets, open all four channels, and leave with a 90-day plan to keep the work coming.

In 3 weeks, go from “never sold to the government” to registered, certified (where eligible), armed with a capability statement and a live opportunity pipeline, with your first bid submitted.

Your pilot went well, then it went quiet. This is where enterprise AI deals die — not in the trial, but in the 90 days between “yes to a pilot” and a product your buyer actually uses. A one-hour live working session on designing a pilot that converts, finding who really signs, and answering “what happens when your AI is wrong?” Bring a live deal.

Build the system that ships your work: agents running for hours, securely, without you pressing enter. Everyone teaching agentic development teaches the middle — prompting, context, tools. It goes wrong at the edges.

The ticket increasingly writes itself. What doesn’t get automated is judgment: which problem is worth solving, whether the solution fits the user, and how to defend a trade-off in a room full of stakeholders.