Hands-on AI product and workflow enablement for healthcare and mission-driven teams.
A 30-minute call to see if there’s a fit. You’ll get an initial opinion and a proposal for a 2–4 week problem framing engagement.
Real work from an operator who has shipped it. Less guessing, less pain, faster impact.
I dogfood exactly what I sell: zOS is my own AI operating system — a fleet of context-walled AI roles running real work across my portfolio every day, with me as the human who gates it. Built on a verify-not-promise design. Read the zOS case & selected outcomes →
I engage as Advisor, Operator, Fractional CXO, or Interim, starting with a 2–4 week problem framing engagement. Priced by role and cadence, not hours. In the trenches with you, for healthcare and mission-driven organizations. Book a free intro call.
North star to a roadmap a team can ship, product-market fit, pricing and packaging across B2B2C, B2B, and B2C, operating-model design and interim leadership — with AI as a lever where it earns its place.
AI in the product and across the build, off the shelf or tailored. Vendor and model evaluation and deployment in regulated settings. We also offer a proprietary AI orchestration and context-management system (z-os.ai).
Margins and unit economics, R&D turnarounds, hiring and growing teams across countries and cultures — with AI compounding the work.
The same four steps in a problem framing engagement or a full engagement: from the real problem, to what’s true and worth doing, to a plan engineered to ship, to realistic execution — together or alone.
Framing starts in the initial call and the first engagement; full validation runs beyond the 2–4 weeks; execution is typically month 2–3–4.
Start from the real problem, not a tool. Get crisp on what “the right thing” actually is.
Test against reality: what’s true, what’s broken, what’s worth doing.
A tailored plan engineered to ship, built from experience and owned by your team — not a slide deck.
Realistic execution, together or alone. Your call, your pace.
Fifteen years building every layer of healthcare delivery, end to end. Each layer below is a repeatable playbook: a standard project with a known shape, run before, priced by playbook rather than hours.
Onboarding and activation, async and sync care models, retention and engagement.
Medplum, Elation, or custom; credentialing, provider data & directories; workflows built around the clinic, not the vendor.
Record review, scribing, summaries, inbox and call deflection — pre, during, and post visit. Anthropic, AWS, or third party (Nabla, Zoom).
Retrieval and aggregation via Metriport or Zus, inside the clinical workflow.
E-prescribing via Photon, DoseSpot, Surescripts; pharmacy routing; labs via Junction, Quest.
Custom and insurance billing, RCM; claims adjudication in house and third party.
GLP-1 and weight management, coaching, dietitian services, with unit economics that hold.
Engagement at payer scale, measurement, contracting readiness.
Self-funded and level-funded, single and multi-payer, tiered networks, plan design.
Writing is thinking. If I can’t explain it simply, I haven’t thought hard enough.
If your team is setting product direction, leaning into AI, or scaling with margin, I'd love to hear what you're working on. A 30-minute call to see if there's a fit. You'll get an initial opinion and a proposal for a 2–4 week problem framing engagement.