Talks built on shipped work,
not vendor decks.

I take speaking engagements at conferences, leadership offsites, and internal company events on what the studio works in every day: voice AI in production, the data behind AI workforce impact, citation discipline in production AI, and the honest reading of what the primary research actually shows. Talks are built around shipped product and cited primary research.


Each one anchored to a real artefact.

Will AI replace your job? An honest look at the data.

Built on the methodology behind aijobimpactcalculator.com. OECD, ILO, Brookings, BLS, WEF — what the primary research actually says about AI workforce impact, with calibration on the doomer / soft-pedal extremes.

Conference talk or keynote · HR conferences, executive offsites, broad business events

Voice AI: what we learned shipping Bottie.

Practitioner talk on building voice AI in production. Latency, citation, escalation, compliance. What broke, what worked, what the next year of voice AI probably looks like.

Conference talk or fireside · founder events, product / engineering meet-ups

Why production data AI demands citation discipline.

Why most production RAG fails the same way and what to do about it. Citation as architectural commitment, not feature.

Conference talk · technical / engineering / product audiences

AI workforce planning: a framework for CHROs.

For CHROs and people leaders working through AI's effect on their workforce. Defensible decision-making, cited research, what to do this year vs what to wait on.

Keynote or interactive workshop · HR conferences, people-leader offsites

The honest case against AI hype.

What the OECD, ILO, Brookings, and WEF actually publish vs what AI vendors claim. The wider lesson from the AI Job Impact Calculator's "how to argue with this calculator" page applied to the AI conversation.

Keynote · thought-leadership events, journalism / policy

Custom topics on the studio's three pillars (voice AI, finance AI, data AI) by arrangement. Available for podcast and longer-form formats including the 20-year career arc through software.


From lightning to keynote.


Discussed on the discovery call.

Industry-standard for working practitioners. Reduced or waived for academic, charity, and community events where the audience overlap is right. Travel and accommodation at cost from London.


Shipped product. Cited research. No demo theatre.

Slides built around shipped work — Bottie (live voice AI product), Cageclaw (open-source security tool), Sentaz (production SaaS), Signet LLM (browser-based transformer demo), and the AI Job Impact Calculator (independent research site) — plus cited primary research. No "here's what AI vendors say" slides, no vendor logos as authority, no demo theatre. The credibility on stage is the credibility the studio earns by shipping; the talk is built around what we actually learned doing the work.

Twenty years of training and team-leadership underneath the technical work, including an early-career stretch teaching Microsoft Excel to business reporting teams, and an Engineering Lead role at a UK media broadcaster where the testimonial speaks to "implementing the right culture to enable a previously fragmented team... to trust and learn from each other." Public speaking is a natural extension of that practice, applied to a wider audience.


What organisers ask before booking.


Book a speaker.

Discovery call first to confirm topic, audience, and format. We will send a brief on what to expect on stage and where the talk lives in our wider work.