Practice · AI Transformation
Most companies add AI to a human-designed org chart. The real leverage is redesigning the company around it.
A company of 20 can operate like 50, but only if the scaffolding is designed for AI from the start. I help CEOs and leadership teams build that scaffolding.
Discover, NCCS · NASA/Pat Izzo
For a hundred years we have designed companies around humans: departments, headcount, org charts built around the cost and limits of human attention.
AI changes the cost curve. The question stops being how do we add AI to what we do, and becomes what does this company look like if it is built for AI from the start.
The answer is not a chatbot in the corner. It is four reinforcing pieces – canonical documents, virtual organizations, orchestrators, and a redesigned operating cadence – that let a founding team punch far above its weight.
§ 01 – The framework
Four pieces. They only work together.
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04 / Operating cadence
Humans on the needle-movers. AI on the rest.
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03 / Orchestrators
Which agent does what, in what order, handed off to whom.
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02 / Virtual organizations
Role-based agents with inputs, outputs and a human owner.
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01 / Canonical documents
One source of truth that everything above reads from.
01 / Canonical documents
The single source of truth about the company
Strategy, ICP, positioning, pricing, roadmap, decision log – written once, kept current, machine-readable. Every AI agent, every new hire, every board deck builds from these. No more which version is current.
02 / Virtual organizations
Role-based agents with real jobs
A virtual marketing analyst. A virtual BD associate. A virtual controller. Each with defined inputs, outputs, a schedule, and a human owner. They read from canonical documents, produce to a cadence, and escalate when they reach their limits.
03 / Orchestrators
The layer that routes the work
Which agent does what, in what order, with what handoff to a human. This turns we are using ChatGPT into an operating system. Without it, scattered tools. With it, a company.
04 / Operating cadence
Humans on the needle-movers. AI on the rest.
Decision rights, decision logs, meeting rhythms – redesigned so humans focus where only humans add value. Drawn directly from the governance work I do with leadership teams and boards today.
§ 02 – In practice
What this actually looks like
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Seed-stage deep tech
A company of 20 that operates like 50
Canonical strategy doc. Weekly auto-generated board pack. Virtual BD drafts outreach to 40 target accounts a week. Your team spends their time on customers and product, not on keeping slides current.
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Series B scale-up
Positioning that stays coherent
One canonical positioning doc. Every sales deck, job post, and landing page renders from it. When it changes, everything downstream updates in a day, not a quarter.
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Fundraise prep
An investor-ready spine, always current
Deck, model, data room, and narrative share one source. A virtual analyst refreshes traction slides weekly. When an investor asks for the model, you send it in minutes.
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Operating company
Decisions that stick
Decision log tied to canonical strategy. When someone asks did we not decide this, the answer is there, dated, with the reasoning. Same-argument meetings stop.
Start here
Book an AI-first diagnostic call
No slides, no pitch. We will map where your company stands on the four pieces and the two or three moves that matter most in the next ninety days.