London, England, United Kingdom
Most people talk about AI. I’ve been deploying it. 12 years in AI. 17 in enterprise technology. I’ve sat at the table with the teams building the infrastructure this industry runs on — and I’ve watched organisations spend millions getting it wrong. I was part of the team that delivered Europe’s first NVIDIA DGX-1 deployment. I’ve built $10M+ in pipeline at global leaders including NVIDIA, NetApp, and Oracle. I’ve advised startups, scaleups, and Fortune 500s — and the problems are almost always the same: too much hype, not enough architecture. What I actually do: → Help enterprises navigate the AI infrastructure stack — from GPU compute and NeoCloud economics to last-mile deployment → Translate AI complexity into commercial decisions leaders can act on → Build GTM strategy for AI vendors entering the UK/EU market → Advise on sovereign AI, data locality, and the real cost of hyperscaler lock-in What I’m building: 🧱 DeployAI — The Layer Cake Series. A visual and narrative breakdown of the entire AI stack, layer by layer. For operators, builders, and leaders who want to understand what’s actually powering the era of intelligence. 📞 AI Receptionist — Missed calls are killing SMB revenue. We’re fixing that with intelligent call handling, FAQ automation, and CRM integration. 💆 Concierge Platform — AI-first booking and client management for health, beauty, and wellness businesses. My take on where this is all going: Inference demand will outpace training economics. The real value in AI isn’t at the model layer — it’s at the last mile of integration. Sovereignty and data locality will define enterprise adoption across UK and EU for the next decade. Cost control, agent governance, and circuit breakers are the most underrated risks in enterprise AI right now. These aren’t predictions. They’re patterns I’ve watched play out across every layer of the stack. If you’re a business leader, investor, or operator trying to make a real AI decision — not just a PowerPoint one — let’s talk.
Responsible for designing and executing the commercial engine behind BLACKLINE. This includes: * Building and qualifying the member base (demand) * Sourcing and selecting top-tier providers (supply) * Structuring partnerships and pricing strategy (internally, never publicly) * Owning acquisition across referrals, outreach, and brand-led channels * Ensuring revenue growth without compromising standards or exclusivity The role sits across strategy and execution — from first introduction through to long-term member retention. Revenue is not driven through volume. It is driven through consistency, trust, and controlled access.
As Chief Visionary Officer at Humanity+AI, Inc., I'm responsible for defining the execution model and building the education framework we take to market. Humanity+AI, Inc. is a nonprofit advancing the responsible use of AI for people, communities, and the planet — spanning educational outreach, humanitarian innovation, research & development, and workforce development. My focus is turning mission into motion. That means the strategy, the structure, and the go-to-market approach that ensures AI literacy reaches the people and organisations that need it most. AI paired with human values can solve humanity's most pressing challenges. My job is to make sure that's not just a belief — it's a deliverable.
Jack of all AI Limited helps enterprises, investors, technology providers, and public sector organisations navigate the AI revolution. Combining expertise across AI infrastructure, cloud, data, software, and commercial strategy, we bridge the gap between technological possibility and business execution. Areas of focus include AI strategy, infrastructure economics, ecosystem development, sovereign AI, executive advisory, and enterprise adoption. Founded by Jack Watts, the company leverages more than a decade of experience across NVIDIA, Oracle, NetApp, NeoClouds, and the broader AI ecosystem. Sovereignty is the new scalability. Infrastructure intelligence beats model hype. Execution beats theory.
I've been brought on at SCC to develop and manage an ecosystem of partners and strategic customers in the AI Space. Involving parties from all parts of the AI Infrastructure spectrum from DC, NeoClouds, ISV's, AI Startups and foundational model builders.
Short-Term Consultant – AI Infrastructure & Ecosystem Growth Engaged by NexGen Cloud to accelerate adoption of Hyperstack and AI Factory – their cutting-edge GPU infrastructure and AI development toolkits – among startups building the next generation of AI products. Scope of work included: Advising startups, scaleups, and enterprise teams on deploying tailored GPU-as-a-Service (GPUaaS) solutions for AI/ML workloads across cloud environments. Enabling rapid ideation-to-deployment journeys by connecting innovators and investors to scalable AI infrastructure and development pipelines. Facilitating strategic partnerships across the AI ecosystem Supporting founders and technical teams. Brought a strong network and deep enthusiasm for aligning best-in-class platforms with leading AI teams, helping lay the groundwork for breakthroughs in AI-driven industries.