Privacy & Compliance
HIPAA-aware architecture, PHI boundaries, and audit-by-default design.
Healthcare
Governed AI for high-stakes care operations
Healthcare is where we cut our teeth: valuable workflows, high stakes, privacy and compliance constraints, complex operations, and cost pressure. AI helps only when designed as governed infrastructure.
Proof
Built by people who have operated real systems at scale
0+
Years of combined experience
$0B
Annual revenue powered on $6.5M in cost
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Industries at enterprise scale
Expertise
Forged in the realities of healthcare
EHR Integration
Epic, Cerner, and custom EHR systems with practical integration patterns.
Auditability
Decision trails, routing logs, and knowledge source tracking across systems.
Workflow Adoption
AI that fits clinician and staff workflows, instead of adding friction.
Payer & Billing
Prior auth support, coding assistance, and claims workflows with guardrails.
Cost Control
Intelligent routing to match capability requirements and budgets.
Worked Example
An AI-powered patient intake system
How the Eight Words map to a specific use case
- Model
- Frontier model for ambiguous patient descriptions; smaller model for structured form-filling
- Gateway
- Routes by request type; logs all PHI access; enforces rate limits and cost caps
- System Message
- "You are a supportive intake coordinator. Elicit symptoms without diagnosing. Escalate urgent cases immediately."
- Knowledge
- Provider specializations, insurance coverage rules, location availability — retrieved not memorized
- Tools
- EHR lookup, scheduling system, insurance verification API — read-only during intake, writes require human approval
- Orchestration
- Information gathering → provider matching → appointment scheduling → confirmation → handoff to human for complex cases
- Interface
- Patient-facing chat, staff dashboard for handoffs, embedded in patient portal
- Training
- Evaluation of match quality, escalation patterns, patient satisfaction; feedback improves prompting and routing
Related Essays
Thinking on healthcare AI strategy
Own the gateway before you pick a model
Routing, logging, data boundaries, and spend caps—before negotiating another frontier model.
Draw the tools perimeter before you wire the EHR
Decide what an AI can touch before you decide how it touches your system of record.
Build the interface to meet the role
Different workflows demand different surfaces—chat for patients, dashboards for staff, APIs for systems.
Match frontier spend to ambiguity
Reserve expensive reasoning for uncertain inputs; route routine work to smaller, cheaper models.
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