We design, build, and deploy AI workflows for healthcare — from first conversation to running code in your system.
The structural shortage and demand unreliability are routinely conflated — but they need different solutions, and AI creates immediate leverage on the second
GPs and specialists spend 30–40% of their time on admin that doesn't require clinical judgement — one in three clinicians lost to paperwork before a patient walks in
Practice data sits across disconnected systems — making it nearly impossible to see what's profitable, where revenue leaks, or what's actually driving outcomes
A 1–2 week diagnostic uncovers your highest-impact opportunities. We then build 2–3 production-ready AI workflows around them — scoped, integrated with your existing systems, and handed over running. ~4 weeks to go live.
Training and adoption for your whole organisation. We cover what AI can do, where it fits, and how to use it day-to-day — from a leadership briefing to a full program rollout.
We identify the specific workflows where AI creates outsized impact — and concentrate entirely on those
Most AI projects fail because of people and process, not code — we design for adoption, workflow change, and capability building from the start
We work exclusively in health — which means we're already across your compliance obligations, clinical workflows, and the specific tools your team uses every day. We build integrations, not introductions
We know Cliniko, Halaxy, Nookal, and the Medicare claiming stack. We automate clinical documentation, referrals, and patient communication in systems your practitioners already use
We integrate with AlayaCare, LEEcare, and ShiftCare to automate care documentation, incident reporting, and compliance obligations under the Aged Care Act
We build integrations with Best Practice, Medical Director, and Zedmed. GPs and specialists get AI-assisted documentation, triage, and patient communication without changing their EMR
We work with Lumary, iinsight, and ShiftCare to automate support coordination, plan notes, and PRODA submissions — reducing the admin load on coordinators
You work directly with us throughout. Sepehr leads the technical builds; Julian handles discovery, scoping, and client outcomes. For larger engagements, we bring in specialist contractors from our network — so you're never a capacity constraint

Sepehr writes the code. He builds and ships AI workflows end-to-end — from Claude-powered pipelines and n8n automations to full API integrations with clinical systems. Three years at McKinsey on AI strategy means he knows what's worth building and what to skip

Julian runs discovery and go-to-market. Two years at Kearney advising boards means he can translate clinical complexity into a scoped, costed engagement that actually gets signed off. He makes sure we build the right thing before a line of code gets written
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