Joe da Silva · Cape Town
Show the working

I advise on AI. I also build it.

Most advisors hand you a deck. Most builders have never run the org that has to live with what they shipped. I do both, which is the only reason the advice survives contact with your roadmap.

Most of my career has been spent somewhere the auditors got a vote — Barclays Global Investors, Absa, Skrill, Simply Business, TransferGo. Nine systems in production right now.

There is more underneath every claim on this page. The switch up there opens it.

Three ways in

One subject. Pick your depth.

Lightest first. Nothing here needs a procurement cycle to start.

01
Consult / Hardening AI
Your pilot worked and it still isn't in production. Fixed scope, fixed dates, six named artefacts, no build commitment.

What you actually get

A scored delivery-readiness position across five dimensions, the specific reasons your pilot hasn't reached production, a prioritised fix list, a build-or-buy call with the reasoning shown, a 90-day plan, and a one-page version your board can read.

Not included: implementation, hiring, vendor selection, or anything requiring me to be in your building. If you need those, say so on the call and I'll tell you who to speak to.

START IN 2 WEEKS
2–6 WEEKS
02
Collaborate / Forward deployed
Embedded with your team, building the thing rather than specifying it. Custom agent systems, multi-tenant platforms, zero-to-one. I write code.

How this is priced

Monthly access fee, no timesheets, no day rate. One build seat at a time — if I'm full I'll tell you the month I'm free rather than take it and thin out.

Equity-inclusive structures are possible where the cash isn't, and I'll say plainly whether I think your equity is worth taking.

START IN 3–4 WEEKS
3–12 MONTHS
03
Hire / Executive role
Fractional, interim or permanent. CPO, Head of Product, Head of AI Product. The deepest way to work with me.

The honest version

I'm based in Cape Town and I'm not relocating. SAST overlaps the UK and EU almost entirely and the US East Coast partially; if you need someone in a San Francisco room, I'm the wrong person and I'd rather say it here than in week three.

Paste a job description into the assessment and it will tell you where I fit and where I don't, with the gaps named.

1 DAY/WK → FULL TIME
OPEN
Receipts

Rated by how well I can prove them.

Every claim carries a confidence rating and the limit of my own part in it. The ratings come from my evidence base, not from a marketing meeting — and I did not give myself five stars.

£7.03m → £15.2m
★★★★★
Medium-high

TransferGo revenue, 117% year on year, after the growth system I built as Product Director, Growth.

What isn't mine, and what is I didn't book this revenue. I'd left by February 2020, and the pandemic lifted every remittance business that year. What I built was the machine that made it measurable: the experimentation scorecard and the CLV loop that tied acquisition cohorts back to unit economics. That is what made the Series C raisable — and Gareth Knight, then CGO, can tell you which half is mine.

What I did own

Localised landing pages across multiple languages as the substrate for A/B and multivariate testing, which moved acquisition off rising PPC costs and onto organic long-tail. A full onboarding rebuild for activation. Incentive structures for habituation — which compounds in remittance, because the need recurs.

And the part that mattered most: a GrowthHackers-style experimentation scorecard on Sean Ellis methodology, plus the data team that finally closed the loop on customer lifetime value — so cohorts could be tied back to unit economics. That is what made the $50m Series C raisable in 2021.

Verifiable by: Gareth Knight, then CGO.

proof/transfergo-117pct-revenue-growth · proof/transfergo-growth-system
142 million
★★★★★
Medium

Automated FAQ interactions served by Absa Chat Banking, on NLP architecture I commissioned.

What isn't mine, and what is I didn't build the model, and I'd left before this was measured. What I owned was the decision that made it possible: commissioning the NLP supplier and structuring the deal usage-based, with no capital outlay, during a funding squeeze. The architecture outlasted me by years — which is rather the point of getting that call right.
proof/absa-142m-faq-deflection
February 2022
★★★★★
High — dated document

A Camvas deck roadmapping intelligent summarisation, semantic search and automated transcription — before the ecosystem commoditised all three.

How to read it Don't take my word for the foresight. The deck is dated and I'll send it. Judge the dates, not the story I tell about them.
proof/camvas-pre-llm-ai-foresight
iShares, 2001
★★★★★
Low — not yet sourced

Front-end developer on the Barclays Global Investors team that built the first real iShares platform.

Why this is only two stars The platform outcomes I've seen quoted come from a secondary research document whose original sources I haven't been able to locate, so the numbers stay off this page until I have. What doesn't need a source is the work itself, and the through-line it started — see below. I'd rather show you a two-star receipt than quietly drop it.

What I'll claim without a source

XML/XSLT and JSP on ATG Dynamo, back when decoupling data from presentation was still a live architectural argument. The payoff was that a new fund needed a new data feed, not a new page.

I've been making that same call ever since — most recently choosing pgvector over a graph database on InfoTouch, and writing down the reasoning at the time rather than after it worked. That through-line is the claim. The assets-under-management numbers that platform later attracted are not mine and I won't borrow them.

proof/bgi-ishares-platform-outcomes · chat_expose: false

Where the ratings come from

My career evidence lives in a single controlled vault. Every proof note carries attribution: and confidence: as structured fields, written when the note was created — not when someone asked an awkward question. The stars are those fields, rendered.

That's why one of them is two stars. A rating system where everything scores well isn't a rating system, it's a brochure.

Will it ship?

Twelve minutes, and you keep the diagnosis.

Not a compliance audit. The question is whether your AI work reaches production and survives contact with the organisation — team, workflow, data, who owns the decision, and how it's governed. A conversation, not a form; it follows up on what you actually say. Score, read and plan are free. Only the full roadmap asks for an email.

A question it asked recently

"Your pilot works and it's been three months. What has to be true for someone other than the team that built it to depend on it — and who decides that?"

How this is scored — the whole method

Five dimensions: team, workflow integration, data readiness, decision ownership and governance. Four of them are delivery questions and I score them on my own judgement, which is what you're here for.

The governance dimension is the one with an external anchor: each question maps to a named subcategory of the NIST AI Risk Management Framework 1.0 — four functions, nineteen categories, seventy-two subcategories. Free, public, and you can read the exact line I scored you against.

The 1–5 levels are mine, not NIST's. NIST deliberately does not define maturity levels — it is explicitly "outcome-focused and non-prescriptive" and says its actions "do not constitute a checklist". Anyone selling you a "Level 3 against NIST" invented that ladder too. The difference is that mine is published: 0 / 1 / 2 per subcategory, mean × 2.5.

I don't reproduce ISO/IEC 42001 — it's paywalled at about CHF 225, which is exactly why I won't pretend you can verify a score against it. If what you actually need is a regulator-defensible governance audit rather than a delivery read, say so and I'll point you at the people who do that properly. It isn't this.

I will not tell you how you compare to your peers. No public dataset supports that percentile and I don't have a respondent population yet. When I do, I'll publish the n. Every "+2.2 above average" you've seen on an assessment like this was made up.