Product leader by trade. AI builder by conviction.

I’ve been in tech for over 25 years — developer, business analyst, project manager, programme manager, and for the last decade, technical product owner. The common thread: taking something complex and commercially critical and actually shipping it.

The day job

I’m Lead Technical Product Owner (Consumer) at Diageo, where I own technical strategy and delivery for the flagship global consumer platforms — thebar.com and Malts.com — directing a partner-led team of two scrum squads.

Highlights from the last few years:

Before Diageo: I authored the strategy that took npower’s government-mandated SMETS2 smart meter pilot from concept to the UK’s first-ever customer installation, scaling to 1,000+ homes in six months. Earlier lives include delivery and analysis roles at IBM, Accenture, KPMG and a £1.65M bank onboarding programme. I started my working life as a head chef, which is still the best training in prioritisation under pressure I’ve ever had.

Certifications: PRINCE2 Practitioner, Advanced Certified ScrumMaster, Scrum Master Certified, AgilePgM.

The night job

Around November 2024 I started trying to make AI genuinely useful — not answering questions, but taking a brief and coming back with something finished. The first year was mostly me doing the heavy lifting while the AI watched. Then I found agentic loops, then multi-agent orchestration, and the balance flipped.

Today I run a specialist agent team on Hermes with model routing across nine models, an escalation council, durable memory and a kanban. It has shipped six real products — a whisky education platform, a retirement planner, a family taxi app, a recipe system, an SEO analysis tool and the operating system that builds them all.

Why does this matter professionally? Because my ability to use AI at work is limited by enterprise constraints, and AI is exactly where my career is going. This site is the evidence that I’m not waiting for permission: the delivery discipline I use on global platforms works on AI agents too, and I can prove it with shipped products.

  1. 1998
    B&B kitchen

    Started working under pressure before I ever managed a digital delivery.

  2. 2001
    IBM

    Moved into technology and learned delivery discipline inside large organisations.

  3. 2008
    Accenture

    Worked across structured change, analysis and programme delivery.

  4. 2010–2016
    BA and PM roles

    Led complex requirements, stakeholder alignment and delivery across enterprise programmes.

  5. 2016
    npower SMETS2

    Authored the strategy that took the government-mandated smart meter pilot to the UK's first customer installation.

  6. 2020
    Powershop migration

    Carried product and delivery ownership through a major migration programme.

  7. 2021
    NWG smart trials

    Applied the same product discipline to energy-sector trials and operational delivery.

  8. 2022
    Diageo TPO

    Took technical product ownership across global consumer platforms and partner-led squads.

  9. 2023
    Diageo Lead TPO

    Owned strategy and delivery for flagship platforms including thebar.com and Malts.com.

  10. 2024
    First AI experiments

    Started testing whether AI could do real delivery work, not just produce useful answers.

  11. 2025
    Ralph loop and DramMaster

    Turned PRDs, acceptance criteria and autonomous execution into a working product-build loop.

  12. 2026
    Hermes agent team

    Runs a specialist agent team with model routing, durable memory, kanban and independent QA.

Away from screens

Two kids. Jnr Rugby Coach. Whisky enthusiast (that one turned into a product). Most of what I build starts as a family problem.

Get in touch

LinkedIn is best for professional conversations: [linkedin.com/in/gavinranton]. Email works too: gavin@gavinranton.com. If you’re building with AI and want to compare notes, I answer those first.