Help your team adopt AI without breaking your product.
You already have AI ambitions. Your team is stretched. The integrations don't stick. I'm a PhD data scientist and AI builder coming from research and prototyping — eight AI builds in twelve months, the Alan Turing Institute, three years tutoring engineering. I'm new to paid B2B work. What I bring is technical depth, build experience, and the translator instinct.
Sam Davis · Coogee, Sydney · 2026
Most AI initiatives stall in the same five places.
- The reporting feature your accountants wanted is half-deployed.
- Each new client still needs a week of taxonomy mapping.
- The chat assistant your sales team built doesn't sound like you.
- Your engineers are split across three roadmaps.
- You hired an agency once. Six figures, three months, nothing shipped.
The bottleneck isn't the model. It's everything around it.
Five patterns I keep finding in the work I've done.
Where I'm coming from — and where I'm not.
Naming this honestly matters more than overclaiming. The fractional B2B practice is something I'm building. The foundation underneath it is real, but the foundation is academic and prototype work, not enterprise consulting.
The depth.
PhD environmental & ecological data science (USYD, DARE ARC). MPhys Physics & Mathematics, First Class (Manchester). Three years tutoring engineering at USYD. Six conferences. Alan Turing Institute affiliation.
The chops.
Eight AI systems in twelve months. Carbon Tracker prototype (11-agent, UK consultancy). Derwen live (biodiversity assistant). The executive-assistant system I run my own life on every day — this wiki is the demo.
The instinct.
Alan Turing Institute Data Study Group — 1-week sprint for UK govt marine science. Impact Collab Expert Pod — 8 founders facilitated, November 2025. Abbey — paying coaching client since April 2026.
What I'm not: a B2B-veteran AI consultant, an enterprise sales engineer, a Salesforce/SAP integrator. What I am: a builder with depth, working at the boundary between technical AI and the people who need to use it — pricing this practice to reflect where I'm coming from, not what enterprise agencies charge.
Alongside your team. Not instead of them.
Not a vendor pitch. Not a strategy deck. The work happens in your codebase, alongside your team. Here's the shape I'd want our engagement to take.
The build is the work.
I open PRs in your repo. I deploy. I test. I review. I'm not a slide-deck consultant — I'm in the codebase with your team.
Capability stays with you.
Your engineers learn the patterns by working through them with me. When I leave, the people who use the system every day know how it works.
Built with the people who'll use it.
Sales, customer success, the channel partner — in the room while the feature is being built. By the time it ships, they already know how to use it.
Shapes I think would compound in your business.
From a week per client to an hour.
Taxonomy mapping, supplier matching, chart-of-accounts alignment — automated where it can be, AI-assisted where it can't.
Audit-trail-clean across frameworks.
One source of truth, multi-framework output (CSRD, TCFD, AASB S2, SEC). The AI designs the path, the deterministic engine runs it.
Customer success that scales with partners.
Tools that let advisor / channel partners onboard, configure, and support their own clients without your team in every loop.
AI features that actually compound.
Built around adoption, not the demo. The team that uses them every day was in the room when the feature was being designed.
Same shape, different industry. Whatever your stack already is, I'd work in it. These are hypotheses based on patterns I've seen — not proven outcomes from prior B2B engagements.
Two rungs. Pay for clarity. Then build.
Read credits: every dollar you spend on the AI Leverage Read counts toward your first month of Fractional AI Lead if you start within 90 days.
What this isn't.
Naming what I won't do is as load-bearing as naming what I will.
Prototypes, research, and my own systems.
Background. PhD environmental & ecological data science (USYD, DARE ARC). MPhys Physics & Mathematics, First Class (Manchester). Seven years across the European Space Agency, the Alan Turing Institute, UK universities, and a UK carbon consultancy — always as the translator between technical depth and the people who need to use it.
What I'd want our work to look like.
Sam Davis
A free 30-minute intro call. No pitch, no slides. Thirty minutes to read your situation honestly. If I'm not the right fit I'll tell you and point you at someone who is.
Coogee, Sydney. Moving to the UK late 2026. Print one-pager: build-onepager →