Hands-on AI product and workflow enablement for healthcare and mission-driven teams.
A 30-minute exploratory call to get a first perspective 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 run my own AI operating system every day: a fleet of context-walled AI roles doing real work across my portfolio, gated by a human, built on a verify-not-promise design — it proves state before it claims it, so nothing ships on a promise.
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.
See the one-page capabilities summary →
Every project is unique to you, and the phases always overlap somewhat.
Initial call & first week of engagement
Start from the real problem, not a tool. Get crisp on what “the right thing” actually is.
~2–6 weeks
Test against reality: what’s true, what’s broken, what’s worth doing.
~6–10 weeks
A tailored plan engineered to ship, built from experience and owned by your team — not a slide deck.
Week 10+
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.
See the healthcare playbook one-pager →
How it could work across every system, workflow, and role: connecting your clinical systems and the evidence you trust, with the clinician always in control, live in minutes.
Hands-on workshops that get you and your team up and running with a real AI operating system — for personal productivity and for how you build — which also helps with envisioning AI in the product itself.
Not a demo, not a deck: get your own reliable multi-agent, multi-context AI system up in a day.
Writing is thinking. If I can’t explain it simply, I haven’t thought hard enough.