I don't advise on AI from slides. I build it, test it and measure it against real operating problems.
Three ventures, each started from an operational problem I could state in one sentence. Below: the problem, the product, the evidence so far, and the next responsible step.
Six conditions decide whether an AI initiative survives contact with an operating business — and every one of them is enterprise-systems work, not model work.
Governed dataSecure system accessReliable integrationHuman accountabilityMeasurable outcomesAdoption in the workflow
Experience proves
Enterprise architecture and delivery judgment — security models, integration estates and release governance at Fortune 500 scale.
AI Ventures proves
Practical experimentation — building, evaluating and stress-testing AI workflows against problems real people actually have.
Together
An advisor who can look at the systems you run today and tell you honestly where AI belongs next — and where it does not.
Venture dossiers
Problem · product · evidence · next step
ScanAssist · Pilot
ScanAssist
digital product passport
Languages
11
Channel
SMS / Twilio
Stage
Manufacturer pilots
Problem
Paper manuals get lost; the helpdesk answers the same questions all day.
Product
Scan the QR, text a question, get an answer drawn from that product’s own manual — low confidence escalates to a human.
Evidence
End-to-end path working in 11 languages against a fixed question set. No deflection rate published yet.
Next step
One manufacturer, one product family, call volume measured before and after.
Working artefacts from the three ventures — what was actually built, what it runs on, and how far along it is. Each entry links to the thing itself where there is something to open.
ScanAssist · Manufacturer pilots
Manufacturer onboarding kit
Onboarding flow that turns a manufacturer’s PDF manuals and ticket history into a live SMS support agent — ingestion, evaluation set, QR label pack and escalation rules.
The scoring layer behind AreaIQ: public data pipelines, confidence bands and evidence chains that re-sort the whole report around the reader’s profile.
Data pipelines · Scoring · PDF export
RepFlow · Demo
RepFlow walkthrough
Two-minute walkthrough: a rep checks in with GPS, logs the visit outcome by typing or by WhatsApp voice, and the daily call report writes itself — no end-of-day paperwork.
Mobile · Intake · AI assist
Advisory
Planning where AI should — and should not — enter your HR operating model? Let's map the next move.