Most AI pilots stall in healthcare — not on the model, but on clinical safety, interoperability and information governance. I build agentic AI that's designed to clear those gates from day one, drawing on hands-on delivery inside NHS trusts and health bodies.
A working prototype means nothing without a DCB0129/0160-compliant clinical safety case. Most AI vendors have never written one.
Legacy PAS/EPR estates, HL7 v2 feeds and inconsistent FHIR maturity mean integration is usually the real project, not the AI itself.
Adoption fails when frontline staff can't see how or why an agent reached a recommendation, or where accountability sits.
Framing agentic AI solutions against DCB0129/0160, DTAC and DSPT from the design stage, so safety cases and information governance aren't a late-stage scramble.
Integration architecture across Oracle Cerner Millennium, PAS systems and FHIR R4 / HL7 v2 transformation layers — built to survive real, messy trust estates.
Copilot Studio and Azure AI Foundry agents for triage support, referral management, multilingual patient communication and operational workflows — grounded in real clinical pathways.
Structured discovery, architecture options and the business case a trust board or ICB actually needs to approve funding and move to delivery.
Whether it's a discovery workshop, a clinical safety review, or embedded delivery capacity for an agentic AI build — tell me what you're working on.
LetsTalk@ainex.uk →Prefer to talk it through first? Head to the contact form on the homepage.