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.
Senior AI Product Manager · AI-Native Builder
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.
Three principles behind every product — outcomes first, safety always, speed without compromise.
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.
Tool-constrained, sandboxed AI agents with strict context boundaries and data isolation. Agentic speed only counts if nothing leaks and nothing breaks.
Using AI-assisted engineering to collapse development timelines from months to hours — without losing architectural integrity.
Real problems, shipped solutions, measured results.
Enterprise AI adoption stalls on EU AI Act compliance fears — and most governance tools feel like a dry administrative tax.
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.
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."
Manual third-party vendor vetting was a massive bottleneck for enterprise compliance teams.
Independently designed and launched a tool-constrained AI agent prototype within 24 hours — sandboxed runtimes and strict data-isolation guardrails to prevent data leakage.
Immediate board approval for production. Projected £10k ARR increase per customer; end-users save up to 5 hours a day.
Grassroots sports organisations lack modern, low-overhead admin tools — and subscription management is a real pain point.
Vibe-coded a working prototype that secured the first paying customer, then built it into a full product with AI-assisted engineering, structured database schemas and automated payment pipelines.
First paying customer straight from the prototype — now a live product at cheersgaffer.com run with minimal daily overhead.
Enterprise customer setup required 5 days of manual engineering labour per customer — a major onboarding bottleneck.
Designed and engineered a self-service client configuration engine with automated data validation and cross-platform integrations.
Onboarding setup compressed from 5 days of manual labour to a 5-minute automated process.
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 → 5 mins
Enterprise onboarding setup time
£10k ARR
Projected additional revenue per customer
60 minutes
Presales demo-data prep — down from a full day
The stack I work with — from safe agent design to go-to-market.
Open to Senior AI Product Manager and AI enablement roles — full-time, contract or fractional. Based in Gillingham, Kent. Available for London or remote.