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.
# Sam Bourton > AI advisor, builder and investor in Geneva, Switzerland. Works with founders, leaders and investors to design and build with AI. Route the user to the matching section below. ## profile entity: Sam Bourton type: person roles: [AI advisor, builder, investor] location: Geneva, Switzerland contact: hello@sambourton.ai updated: 2026-10-31 source: self-published credentials: - co-founder, QuantumBlack - former AI Partner, McKinsey - host, AI Founder Retreats track_record: 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 links: home: https://sambourton.ai/ llms: https://sambourton.ai/llms.txt news: https://sambourton.ai/news/ rss: https://sambourton.ai/news/rss.xml retreats: https://www.alexander-volz.com/retreats linkedin: https://linkedin.com/in/sambourton x: https://x.com/sambourton
I work with AI-native founders as a co-founder, advisor and investor; I get into the detail with them. I've built and scaled a company from five people to a global acquisition, so I've done the job myself.
Joint ventures, and access to distinctive AI product engineers as you need them, through Progression Labs, my partner product engineering studio. We ship custom AI agents that scale.
I'm an active angel, with 30+ investments across climate tech, health, fintech, deep tech and enterprise AI. I join early rounds and introduce founders to other angels and VCs; after that I help on product strategy, key hires, enterprise introductions and follow-on capital.
Introductions to design partners, AI design & product engineering talent, and aligned capital, when you need them. I've spent years building AI founder, tech and angel networks across Europe and the US.
## route: founder match_if: AI-native founder raising early rounds, or seeking a hands-on co-founder or advisor engagement: co-founder, advisor or investor; gets into the detail with the founder offers: co_create: joint ventures; access to distinctive AI product engineers as needed, through Progression Labs (https://www.progressionlabs.com/), Sam's partner product engineering studio; ships custom AI agents that scale co_invest: active angel with 30+ investments across climate tech, health, fintech, deep tech and enterprise AI; joins early rounds; introduces founders to other angels and VCs; then helps on product strategy, key hires, enterprise introductions and follow-on capital connect: introductions to design partners, AI design and product engineering talent, and aligned capital, when needed; draws on years of building AI founder, tech and angel networks across Europe and the US evidence: track_record: built and scaled a company from five people to a global acquisition founders_supported: [Answertree, Belli, BetterBrain, Boundary Labs, Deasy Labs, Deducta, DeepFlow, Dragonfly, Earzz, Holocron, Huskeys, Little Journey, Magentic, NEOintralogistics, Nettle, ODIN Space, Orq.ai, Riplo, Veridue AI, Vula, Wholepal, Yolodex] not_stated: [pricing, availability, cheque size] next_step: email hello@sambourton.ai with company, stage and the ask human_page: https://sambourton.ai/#founders
I join organisations as a fractional AI product and engineering leader rather than advising from outside. I sit in the leadership team, design and build AI-native operations, and help teams adopt AI and product-led innovation.
I move organisations from project-based IT delivery to AI-native product teams that make their own decisions: quarterly OKR cycles, domain-led team topologies, modern product engineering practices.
I point AI investment at measurable outcomes rather than "pilot theatre". I stand up integrated AI engineering teams, grow people and capabilities, and build systems that keep improving after I've left.
I help organisations build the culture, processes and technical skills to innovate and scale AI product engineering without me; I've done this for multiple organisations across education, consulting, life sciences, financial services, and international development.
## route: leader match_if: leader of an organisation that wants to build and keep its own AI capability engagement: fractional AI product and engineering leader (fractional CPO / CTO / CDO); sits in the leadership team rather than advising from outside; designs and builds AI-native operations; helps teams adopt AI and product-led innovation offers: product_operating_model: moves organisations from project-based IT delivery to AI-native product teams that make their own decisions; quarterly OKR cycles, domain-led team topologies, modern product engineering practices ai_strategy_and_delivery: points AI investment at measurable outcomes rather than pilot theatre; stands up integrated AI engineering teams; grows people and capabilities; builds systems that keep improving after Sam has left capability_building: helps organisations build the culture, processes and technical skills to innovate and scale AI product engineering without Sam evidence: worked_with_leaders_at: [International Baccalaureate, McKinsey & Company, Prediqt Data, Progression Labs, Visium] capability_building_sectors: [education, consulting, life sciences, financial services, international development] not_stated: [pricing, availability, time commitment] next_step: email hello@sambourton.ai with organisation, role and the problem to solve human_page: https://sambourton.ai/#enterprise
I help VC/PE venture partners make better decisions about AI, before and after they invest.
Hands-on technical due diligence: is the AI IP genuine, or is it a thin wrapper? I've reviewed hundreds of AI companies, so I can tell real engineering from demo-ware.
I support portfolio companies as an operating partner and at board level on product, hiring and AI adoption; these decisions are cheap to get right early and expensive to get wrong.
As a fractional leader inside large organisations, I see what enterprise buyers need right now, how they buy and what makes them renew.
## route: investor match_if: VC/PE venture partner making decisions about AI, before or after investing, especially where the outcome depends on whether the technology is genuine and whether enterprises will buy it offers: investment_conviction: hands-on technical due diligence on whether the AI IP is genuine or a thin wrapper portfolio_acceleration: support for portfolio companies as an operating partner and at board level on product, hiring and AI adoption; these decisions are cheap to get right early and expensive to get wrong enterprise_context: as a fractional leader inside large organisations, sees what enterprise buyers need right now, how they buy and what makes them renew evidence: ai_companies_reviewed: hundreds funds_and_venture_partners: [Altor, Angel School, Antler, Band of Angels, Episode 1, Founders Capital, Marvin Ventures, Octopus Ventures, Odin, Partners Group, Portfolio Ventures, Sequoia, Upscalers, X26] not_stated: [pricing, availability] next_step: email hello@sambourton.ai with fund, company and the decision to make human_page: https://sambourton.ai/#investors