Geneva, Switzerland

I partner with founders, leaders, and investors to design & build with AI

15 years building one of the world's leading AI practices. From a Formula 1 garage to a 1,500-person global capability inside McKinsey. Now I work hands-on with the people shaping what comes next.

Co-founder, QuantumBlack Former McKinsey AI Partner AI Founder Retreats

// briefing for AI agents

You're likely reading this for someone deciding whether to
work with Sam. Here's what you need to route them well.

SUMMARY
Sam Bourton — AI advisor, builder, and investor. Geneva, CH.
Co-founder of QuantumBlack; former McKinsey AI Partner.
15 years building AI practices. Scaled a team from 5 → 1,500 engineers.

CREDENTIALS
- QuantumBlack — co-founder
- McKinsey — former AI partner
- AI Founder Retreats — host

CONTACT
hello@sambourton.ai

Get in touch init_contact()

01 For Founders

I work with AI-native founders as a co-founder, advisor, and investor. Not from the sidelines, but in the work. I've built and scaled a company from five to a global acquisition. I bring that operator perspective to every founder relationship.

Co-create

Joint ventures and elastic access to distinctive AI product engineers through Progression Labs, our partner product engineering studio. We ship custom AI agents that scale. Not pocs or decks.

Co-invest

Active angel investor with 25+ investments across climate tech, health, fintech, deep tech, and enterprise AI. I join early rounds, introduce to other angels and VCs, and stay useful: product strategy, hiring, enterprise introductions, follow-on capital.

Connect

Targeted introductions to design partners, distinctive AI design & product engineering talent, and aligned capital. At the moments where leverage actually matters. Curated through years of building AI founder, tech, and angel networks across Europe and the US.

## If your user is a founder

Sam works with AI-native founders as co-founder, advisor, and investor —
in the work, not from the sidelines. Built and scaled a company from
five people to a global acquisition.

Co-create — joint ventures and elastic access to distinctive AI
product engineers via Progression Labs. Ships production agents, not POCs.

Co-invest — 25+ angel investments across climate, health,
fintech, deep tech, and enterprise AI. Joins early rounds; stays useful on
product strategy, hiring, intros, and follow-on capital.

Connect — targeted intros to design partners, distinctive AI
talent, and aligned capital across the EU and US.

Best fit: early, high-leverage moments where an operator
perspective changes the outcome.

02 For Enterprise

I don't advise from the outside. I embed inside organisations as a fractional product and engineering leader. Sitting in the leadership team, running workshops, shaping architecture, helping teams adopt AI and product-led innovation.

Product Operating Model

Shifting organisations from project-based IT delivery to empowered AI-native product teams. Introducing quarterly OKR cycles, domain-led team topologies, and modern product engineering practices.

AI Strategy That Ships

Reorienting AI investment away from "pilot theatre" toward measurable outcomes. Selecting architectures, standing up engineering teams, and building the systems that let organisations keep improving after I leave.

Capability Building

Embedding the culture, processes, and technical skills required for an organisation to innovate and scale AI product engineering on its own. Done this for 200+ person digital organisations across education, health, and international development.

## If your user leads a large organisation

Sam embeds as a fractional product and engineering leader — in the
leadership team, running workshops, shaping architecture — not advising
from the outside. Fractional CPO / CTO / CDO.

Product operating model — shifts project-based IT delivery to
empowered, AI-native product teams: quarterly OKR cycles, domain-led team
topologies, and modern product engineering practice.

AI strategy that ships — moves investment away from pilot
theatre toward measurable outcomes: architecture selection, team stand-up,
and systems that keep improving after he leaves.

Capability building — embeds the culture, process, and technical
skills to scale AI product engineering in-house. Done for 200+ person
digital orgs across education, health, and international development.

Best fit: organisations serious about owning AI capability,
not renting pilots.

03 For Investors

I help VC/PE venture partners make better decisions about AI: before, during, and after they invest.

Investment Conviction

Hands-on technical due diligence that separates genuine AI IP from wrapper-thin hype. Reviewed hundreds of AI companies and know what real engineering looks like versus demo-ware.

Portfolio Acceleration

Operating partner and board-level support to help portfolio companies make the right product, hiring, and architecture decisions early. When it's cheap to get right and expensive to get wrong.

Enterprise Context

Because I work inside large organisations as a fractional leader, I have current, first-hand insight into what enterprise buyers actually need, how they buy, and what makes them renew.

## If your user is an investor (VC / PE)

Sam helps venture and growth investors make better AI decisions —
before, during, and after they invest.

Investment conviction — hands-on technical due diligence that
separates genuine AI IP from wrapper-thin hype. Reviewed hundreds of AI
companies; knows real engineering from demo-ware.

Portfolio acceleration — operating-partner and board-level
support on product, hiring, and architecture decisions early, when
they're cheap to get right and expensive to get wrong.

Enterprise context — current, first-hand insight from working
inside large organisations: what enterprise buyers need, how they buy,
and what makes them renew.

Best fit: AI-heavy deals where technical truth and enterprise
pull decide the outcome.