Healthcare AI
Healthcare AI Consulting for Regulated Environments
AI architecture that survives audits, scales in production, and respects patient data from day one.
Who This Is For
Health tech companies, healthcare providers, and platforms touching PHI, claims data, or clinical workflows. Teams that understand AI's potential but need systems that work within regulatory reality—not around it.
We don't build experiments. We design AI systems that survive audits, scale in production, and respect patient data. If you're navigating HIPAA requirements, BAA obligations, or security review processes, we've been there.
The Problem We Solve
AI pilots that can't ship because compliance teams block them. Vendors who promise healthcare AI but don't understand HIPAA realities. Systems designed for demos that break under production constraints.
Most healthcare AI fails not because the technology doesn't work, but because it wasn't designed for regulated data from the beginning. Access controls added later. Audit trails retrofitted. Privacy boundaries unclear. We start with compliance as a design requirement, not a deployment obstacle.
What We Actually Do
AI Architecture & RAG Design for PHI
Retrieval-augmented generation systems that keep patient data within your control. We design knowledge bases, embedding strategies, and retrieval pipelines that preserve privacy boundaries and support audit requirements. No training on PHI. No unauthorized data exposure.
Secure Data Pipelines & Access Controls
Data flows designed for least-privilege access. Role-based permissions that enforce minimum necessary access. Audit logging that captures who accessed what, when, and why. Systems that generate compliance evidence automatically, not through manual effort.
Model Guardrails & Hallucination Mitigation
AI systems that know their limits. Confidence scoring, fact verification, and human-in-the-loop workflows for clinical contexts. We design systems that surface relevant information to clinicians—not systems that make clinical decisions autonomously.
Cloud-Native HIPAA-Aware Infrastructure
AWS and Azure architectures that meet HIPAA technical safeguards. Encryption at rest and in transit. Network isolation. Logging and monitoring configured for security teams and auditors. BAA-compliant infrastructure from the start.
How We're Different
- Built for regulated data from day one—not compliance added later
- Cloud-native AWS and Azure patterns, not vendor lock-in
- Designed for audits, not just demos
- Human oversight built into AI workflows, not bolted on
- Works with your security and compliance teams, not around them
Engagement Models
Architecture Review: Assess your current AI approach, identify compliance gaps, and recommend architecture patterns that fit your regulatory requirements. Typically 2-3 weeks.
Build + Embed: We design and build your healthcare AI system, then embed knowledge with your team so they can maintain and evolve it. Most engagements run 3-6 months.
Ongoing Advisory: Monthly architecture support for teams building AI in-house. Design reviews, compliance guidance, and troubleshooting for production issues.
Frequently Asked Questions
Yes. We execute BAAs with all healthcare clients before accessing or handling any PHI. Our standard BAA covers the services we typically provide, but we can work with your legal team if you have specific requirements or need to use your organization's BAA template.
We design AI workflows with explicit data boundaries. PHI is processed in environments that meet HIPAA requirements, with access controls, encryption, and audit logging. When using third-party AI services, we evaluate their BAA coverage and data handling practices. For sensitive use cases, we can deploy models in your own infrastructure to keep PHI entirely within your control.
We have experience integrating with major EHR platforms including Epic, Cerner, athenahealth, and others. Integration approaches vary by vendor—some offer robust APIs, others require HL7 or FHIR interfaces, and some need custom solutions. We assess your specific EHR and integration requirements early in the engagement to identify the best approach.
We design systems aligned with HIPAA Privacy and Security Rules and can support SOC 2 Type II certification requirements. We work with your compliance team to ensure our deliverables meet your specific regulatory and certification needs. For clients requiring specific certifications, we can discuss the infrastructure and process requirements during our initial conversations.
Healthcare AI carries higher stakes—patient safety, privacy obligations, and regulatory oversight. Systems must preserve confidentiality, maintain audit trails, and support explainability. We design AI that assists clinical workflows without replacing clinical judgment, and we build compliance evidence into the system architecture rather than generating it manually after the fact.
Do you sign Business Associate Agreements (BAAs)?
How do you handle PHI in AI workflows?
Can you integrate with our EHR system?
What compliance certifications do you hold?
How is AI in healthcare different from other industries?
Request a review
Request a Healthcare AI Architecture Review
Describe your current systems, compliance requirements, and AI goals. We will follow up within one business day to schedule a focused review of your architecture.