# Luke Reynolds — Senior AI Product Manager | AI-Native Portfolio > I'm Luke Reynolds — Senior AI Product Manager based in Kent, UK. I combine product strategy, discovery and change management with hands-on AI prototyping and safe agentic delivery: turning manual processes into products that move revenue. Key results at a glance: - 24 hrs → prototype to board approval - £10k ARR unlocked per customer - 5 days → 1 click renewals - Safe agents · 70% faster onboarding ## How I Build Three principles behind every product — outcomes first, safety always, speed without compromise. - **Outcome & ROI First** — Compliance and features mean nothing without measurable business impact. Every build starts with target metrics and quarterly value tracking — so "it works" is a number, not a feeling. - **Safe Agent Governance** — Tool-constrained, sandboxed AI agents with strict context boundaries and data isolation. Agentic speed only counts if nothing leaks and nothing breaks. - **0-to-1 Rapid Velocity** — Using AI-assisted engineering to collapse development timelines from months to hours — without losing architectural integrity. ## Case Studies ### 01 — EU AI Act Governance & ROI Engine *AI Governance · Compliance · ROI* - **Problem:** Enterprise AI adoption stalls on EU AI Act compliance fears — and most governance tools feel like a dry administrative tax. - **Solution:** Architected an outcome-first AI governance platform. Project owners define target ROI metrics up front, followed by automated quarterly value-realisation reviews and live ROI dashboards. - **Result:** Both first-demo prospects bought. One committed within minutes of seeing the ROI dashboards. Their words: *"Bought it for the ROI engine; EU compliance was a bonus."* Tags: AI Governance, EU AI Act, Value Realisation Loops, Spec-Driven UX ### 02 — 24-Hour Vendor-Onboarding AI Agent *Safe Agents · TPRM/DORA · Rapid Prototype* - **Problem:** Manual third-party vendor vetting was a massive bottleneck for enterprise compliance teams. - **Solution:** Independently designed and launched a tool-constrained AI agent prototype within 24 hours — sandboxed runtimes and strict data-isolation guardrails to prevent data leakage. - **Result:** Immediate board approval for production. Projected £10k ARR increase per customer; end-users save up to 5 hours a day. The first pilot customer reported it cut their time to complete onboarding due diligence by **70%**. Tags: Tool-Constrained Agents, DORA / TPRM, Supabase, API Pipelines ### 03 — CheersGaffer — Designing and Shipping a B2B SaaS Solo *0-to-1 SaaS · Discovery · AI-Native Delivery* - **Problem:** Grassroots football clubs run on spreadsheets and WhatsApp. Subscriptions are chased by hand, coaches can't easily track player stats so decisions go on gut feel, and player development lives in coaches' heads. Off-the-shelf tools are built for academies and force the club to fit the software. - **Discovery:** I built the first version as an internal tool for my own club, where I sit on the committee — so I was the user. Watching what volunteers actually used (and ignored) turned a weekend prototype into a product decision: build the whole club in one place, or don't bother. - **What I designed:** - **An eight-role permission model** (Chairman, Secretary, Treasurer, Gaffer, Coach, Helper, Player, Guardian) — designed before any code, so every screen and action is scoped to the right person. - **A payments model built on Stripe Connect:** money flows direct to each club's own account and the platform never holds it — the decision that removed the biggest trust blocker for volunteer treasurers. - **Offline read-caching,** so the app still works on a touchline with one bar of 4G. - **A revenue engine** — subscriptions, a club shop and fundraising — so the platform pays for itself. - **Spec-first delivery:** every feature is documented and agreed before it's built, tracked as an issue, and verified on a separate dev environment before it goes live. - **How it was built:** I designed the system; AI wrote the code. Claude Code was the engineering team — I specified the roles, data model, payment flow and edge cases, and directed it to build them safely. That's the skill I'd bring to a Senior AI PM role: knowing exactly what to build and why, and getting AI to deliver it — not writing every line myself. - **Result:** Launched April 2026. Two clubs are using it today, with the first paying customer secured inside the first month — a live, revenue-generating product designed and shipped solo alongside a full-time role. Live at [cheersgaffer.com](https://cheersgaffer.com). Tags: Product Discovery, Systems & Permissions Design, Stripe Connect, Supabase / PostgreSQL, AI-Assisted Delivery ### 04 — One-Click Benefits Renewals Automation *Process Automation · Enterprise Scale* - **Problem:** In the employee benefits industry, renewals in year two and beyond meant manually recreating each customer's current-year data — painstakingly "impersonating" customers and adding items to their basket. Around 5 days of labour per customer, times thousands of employees. - **Solution:** Worked alongside the Database Engineer to script the entire process, replacing the manual impersonation workflow with a single automated run. - **Result:** Renewals cut from ~5 days of manual work per customer to one click. Tags: Solution Architecture, Automated APIs, System Integration ### 05 — Demo Data in 5 Minutes with a Claude Skill *Claude Skills · Presales Automation · Sales Enablement* - **Problem:** Sales and pre-sales teams spent days building demo data ahead of live SaaS demonstrations — every demo needed enough realistic, scenario-specific data to make the product shine. - **Solution:** Designed a Claude Skill that turns an exported product JSON config into rich demo data. It quizzes the user on the industry they're demoing to and the story they want to tell, so the data is specific enough — demoing Incident Remediation to an insurance company needs enough bad incidents to show triage and reporting. - **Result:** Better-quality demo data in a fraction of the time — from a full day down to 5 minutes, generated while they make a coffee. Faster, sharper demos helped win more deals, increasing revenue. Tags: Claude Skills, Prompt Engineering, Sales Enablement, JSON Config ## Speaking ### "Safe by Design" — Designing Agents That Deliver *Sikkerhed & Revision 2026 · Copenhagen* - **The Talk:** Delivering ROI without widening the blast radius: my approach to designing and governing safe agents for cyber security professionals. Tool-constrained, sandboxed runtimes, strict context boundaries — agentic speed that doesn't leak or break. - **Why It Matters:** Security teams are asked to approve AI agents they don't control. This talk shows how governance and guardrails can be designed in from the start — so ROI isn't traded for risk. Deck: [safe-by-design.pdf](https://lukereynolds.co.uk/safe-by-design.pdf) ## Results, Measured Not activity — outcomes. Each number below tracks a shipped piece of work. - **6 months** — TPRM product rebuilt into the company's #1 product by revenue and pipeline - **2 months** — DORA Register of Information — from regulator spec to shipped solution - **24 hours** — From working AI prototype to board approval - **5 days → 1 click** — Benefits renewals automation per customer - **£10k ARR** — Projected additional revenue per customer - **5 minutes** — Presales demo-data prep — down from a full day - **2 clubs** — Using my own SaaS, CheersGaffer, since its April 2026 launch — designed and shipped solo ## Capabilities - **AI Orchestration & Agent Safety:** Safe Agent Design, Sandboxed Runtimes, Tool-Calling Guardrails, Agent Logs and Governance, Claude Code, Prompt Engineering - **Systems & Integration:** API Architecture, Relational DB Schema Design (Supabase / PostgreSQL), Serverless Ops (Railway / Vercel), Stripe Billing Engines - **Frontend & UX:** Rapid Prototyping, Advanced CSS / Tailwind, HTML5, Responsive Dashboard Components - **Product Strategy & GTM:** Technical Spec Writing, User Discovery, Sales Enablement, Technical & Training Documentation, ROI Framing ## Contact Open to Senior AI Product Manager and AI enablement roles — full-time, contract or fractional. Based in Gillingham, Kent. Available for London or remote. - Email: [lukereynolds913@gmail.com](mailto:lukereynolds913@gmail.com) - LinkedIn: [linkedin.com/in/luke-reynolds-66ab4047](https://www.linkedin.com/in/luke-reynolds-66ab4047/) - Resume: [luke-reynolds-cv.pdf](https://lukereynolds.co.uk/luke-reynolds-cv.pdf) --- *Note: this portfolio page is a separate professional identity from Luke Reynolds' freelance web design business ([lukereynolds.co.uk](https://lukereynolds.co.uk)) and is not linked from the main site navigation.*