Administrative burden, prior authorization delays, and patient intake friction drain resources from care. We build AI to eliminate the overhead.

Healthcare providers spend roughly 30% of revenue on administrative overhead. Prior authorization alone costs the industry an estimated $350B annually in wasted labor. These are not technology problems — they are process problems with AI-ready solutions.
We build systems that automate prior authorization workflows, streamline patient intake, and reduce documentation burden on clinical staff. The result: faster reimbursements, shorter wait times, and more time for actual patient care.
Our approach is compliance-first. Systems are designed with HIPAA considerations built in from day one. Data stays encrypted, access is logged, and we never train models on patient data.
We build custom AI systems for healthcare providers that are HIPAA-compliant by design. Our solutions automate prior authorization workflows, streamline patient intake with conversational AI, and generate clinical documentation in real time — all within your existing EHR ecosystem. Data stays encrypted end-to-end, access is fully audited, and models never train on patient data.
Our work spans healthcare-adjacent industries too — see how we helped Susie's Jewelry Repair automate customer service workflows with similar compliance-conscious design patterns.
Not sure if AI makes sense for your practice? Start with a $300 Discovery Session. We will map your current operations, identify the highest-impact automation opportunity, and give you a written roadmap — whether you hire us or not.
How we built a HIPAA-adjacent, compliance-first customer service automation system for a retail jewelry business — demonstrating our methodology for handling sensitive customer data.
Read case study →An AI-powered consumer app demonstrating pattern matching and workflow automation techniques directly applicable to healthcare intake and documentation.
Read case study →Start with a $300 Discovery Session. 60 minutes. Clear roadmap.