Prepared for Henry Wright · Barty Studios · May 2026

How I work, in one place.

A short pack on the AI consulting work, a sample engagement to look through, and a note on where Barty might fit in. The case study is anonymised, the artefacts are the real thing.

For Henry's eyes AI Strategy Audit → Prototype → Build FCA / Regulated Sectors
Note from Tom

Henry, good to chat this morning. Rather than send a generic deck, I've put the same kind of workspace I'd build for a client together for you. It's lighter than a real one, but it gives a true sense of how I work.

The sample engagement below is real, anonymised. It's the same shape of work I'd expect to do alongside Barty if a DD throws up an AI angle: a quick audit, a working prototype, then a phased build. The deck, proposal and live demo are the actual artefacts, lightly stripped of identifying details.

Tom — Woollard Works — tom@gobunk.co.uk

Four stages, every engagement.
The pattern holds whether it's a £500m wealth manager, a property auction platform, or a small business owner who wants their phones answered. The shape doesn't change. The depth does.
01
Audit
Sit with the business, map the operational reality. What actually takes time. Where the bottleneck is. Where AI helps, and where it just adds noise.
02
Identify
Build a Claude workspace per client: company research, competitive landscape, sector AI usage, pricing. Show up to the meeting already deep on their business.
03
Educate
Prototype live in the room. HTML demos, working tools, not slides about what could be built. The point is for the client to see, click, and react.
04
Implement
Phased build, paid discovery first. Fixed-price Phase 1 with a priced spec at the end. No-one commits to more than the next step.
AI investment process tool for a UK wealth manager.
FCA-authorised independent wealth manager, c.£500m AUM heading to ~£1bn over three years. Founder-led, with a senior Investment Management Committee. Brought in to digitise the investment process and build an AI augmentation layer across the wider operational stack.

[UK Wealth Manager] · Investment Process Tool

Warm intro · Discovery in progress · May 2026
Wealth Management FCA Regulated ~£500m → £1bn AUM

The firm runs a rigorous, IMC-led investment process built around quantitative data, qualitative manager research and an in-house vote. They had started building an internal prototype in-house. The problem they came in with: every £70m of new money adds a paraplanner and an admin head. Grow that way and the firm gets bigger, not better.

The engagement turns that internal process into a structured tool, then extends AI across paraplanning, macro briefings, client communications and cross-platform reporting. Phase 1 is a fixed-fee discovery (£4,500) that produces a priced spec and an honest go/no-go. Phases 2–4 are decisions made later, one at a time.

4
Phase plan, opt in one at a time
£4.5k
Fixed-fee discovery to start
5 days
On-site, IMC + ops + adviser team
60%
Paraplanning time saving target
Artefacts (click to open)
A snapshot of the active portfolio.
Not exhaustive, just enough to show range. The first two are productised arms of the consultancy — work that started as a client engagement and has been spun out as its own offering. Happy to walk through any of these properly if useful.
PropTech
Estate agency · auction platform
Full product spec for a branded residential auction site. Buyer-trust positioning, mandatory legal pack, reservation fee model.
Voice AI
Family office · AI receptionist
Replacing a paid call-handling service with a bespoke ElevenLabs + Twilio agent. Brand-aware routing, message logging, urgent forwarding.
Marketplace
Premium SME marketplace spec
Front-end and full product spec for a peer-to-peer marketplace, including trust mechanics, escrow flow, and Claude Code build prompts.
Food & Drink
SME group · brand + pitch portfolio
Financial model, pitch deck, proposal stack for an early-stage food and drink group across several sub-brands.
Where this might plug in.

Three honest ways this could work.

1. AI strategy add-on to your DD work. Where you're already doing tech DD on a target, I come in for the AI angle: is there a real opportunity here, or is the team telling the buyer a story. Output is a short, defensible memo that sits inside your DD pack. Useful when a PE buyer is paying for the existing thesis on AI to be pressure-tested.

2. Post-deal AI implementation referrals. The DD identifies an opportunity; I lead a phased Woollard Works engagement post-close. Standard referral economics, or co-branded if that suits Barty better. Probably the highest-frequency version.

3. Operator-level support to your fractional CTO network. Where one of your CTOs is steering a portfolio company and an AI question comes up, I'm on call. Half a day here, a workshop there, a working prototype if it needs one. Light-touch, easy to staff.