Free playbook
The Healthcare AI Automation Playbook.
Sixty pages of the work, written by a CTO actually doing it. Skill files. Agent orchestration. HIPAA / SOC 2 translation. Evaluation. Governance. The org change. The pricing economics. Free with email, for healthcare teams seriously considering this work.
Inside the playbook
Part I — Foundations
- Why most healthcare AI pilots stall
- The two-substrate model: deterministic retrieval + LLM reasoning
- What 'production-grade' actually means in clinical AI
Part II — Architecture
- Designing skill files for clinical scenarios
- Agent orchestration: the structured loop pattern
- MCP servers: the safe starter set for healthcare ops
- EHR integration: FHIR, Athena Marketplace, and beyond
Part III — Governance
- HIPAA controls for AI systems
- SOC 2 / HITRUST translation table
- BAA chains and PHI minimization at the prompt level
- Audit logging for the orchestration layer
Part IV — Evaluation
- Golden cases: the methodology
- Building a calibrated LLM judge
- Drift monitoring + production telemetry
- Incident response for clinical AI
Part V — Org and economics
- The pivot playbook: rules engine to LLM core
- Hiring shape for an AI-forward healthcare org
- Fractional vs. full-time AI/CTO economics
- Communicating AI to the board, the auditor, and the clinician
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Who this is for
- CTOs and heads of engineering at digital-health companies considering an LLM pivot
- Founders of healthcare-adjacent SaaS who need to ship an AI feature without staffing an AI team
- Engineering leaders at MSOs and practice groups looking at clinical or ops automation
- InfoSec / compliance leads partnering with engineering on AI governance
- Boards or PE / VC firms placing AI leadership into a portfolio company
- Anyone who's read the tweet-style 'sell AI automations' playbook and wants the senior version