Meet the leaders. Learn the business. Build their solutions alongside them. Train their team to keep going. This is what an embedded AI residency looks like.
Built for a venture-backed B2B SaaS company. A VP introduced me to the CEO by email on a Monday morning. By that afternoon we had an engagement. Nine days later I ran a company-wide AI townhall for around sixty people. A month after that, their team was building with AI on its own. The engagement is anonymized under NDA. The methodology is the point, and it repeats.
Context
Venture-Backed B2B SaaS
Intro to Townhall
~10 Days
Format
Embedded Residency
Outcome
A Team That Ships Solo
The intro hit my inbox on a Monday morning. The CEO had already studied my site, and we were on a call by noon. The advisor engagement was set the same day. He wanted an AI-first operating posture across the company, not a tool demo.
So I started by listening. Week one was a top-to-bottom listening sprint, a working session with every key leader across the org before I built a single thing. The same afternoon the engagement closed, I stood up a source-cited knowledgebase on the company so every session after it ran fluent in their business, their market, and their goals.
I did not arrive with a deck of generic AI ideas. Every tool I built traced back to a specific priority a specific leader named on a call. The roadmap was theirs. My job was to turn what they already knew they needed into working software, faster than they expected.
From those notes I built real working tools, not props. A one-command finance consolidator that turns scattered revenue exports into a board-ready forecast. A ninety-second personalizer that turns an anonymous website visitor into a researched outreach package. Each one answered a named problem for a named role.
The townhall deck went through eight versions in nine days. Then on Friday morning I ran four of those tools live, end to end, in a single hour, to around sixty people.
The tools were never the product. The capability was. Before the team arrived, I built a personalized onboarding path, a shared curriculum plus one tailored challenge per person drawn from that person's own priorities.
It worked. By the end of the first week, a member of their team who had never opened a terminal had shipped her own working tool. That is the entire point of a residency. Not my output, but their people building.
That curriculum is open and reusable, with a pocket field manual to go with it.
The best proof came after the townhall, and quietly. Inbound interest followed the work. Team members kept building on their own. Leadership adopted the approach and ran with it.
That shape repeated cleanly enough to name. Meet the leaders, build alongside the team, leave people who ship on their own. I productized it as the Forward Deployed Engineers Guild. The product of a residency is a team that keeps shipping long after the consultant logs off.
I build working AI tools for businesses, and I teach teams to build them too. If you want your people shipping with AI instead of waiting on a vendor, let's talk.