AI for regulated workflows
AI systems are probabilistic. Regulated workflows need defined rules. Explore our clinical AI workflows and see how Pranyx independently evaluates proposed actions against a formal Patient Intake policy.
Two capabilities. One direction.
Patient-facing scheduling, application-controlled booking and cancellation, PII-redaction workflows, and FHIR R4 appointment export. A working healthcare demonstration with operational views for administrators.
Explore the scheduling use case →A separate Patient Intake demonstration: a workflow proposes an action, Pranyx checks the formal policy, and a deterministic decision explains why it is allowed or blocked. The decision does not rely on an LLM.
Explore Compliance Studio →Clinical AI Workflows
See patient registration checks, doctor availability and appointment booking in the existing scheduling demo.
Clear about what exists
The clinical demo replaces detected PII before the scheduling-model request. Its detection step currently also uses an external model, so it does not guarantee that patient data stays local.
Admin exposes clinical workflow events. Compliance Studio exposes formal evidence and a session-only decision log. Neither is a claim of certified compliance or a tamper-evident production audit system.
Connecting clinical AI actions to formal enforcement is our intended direction. Today's scheduling and compliance demonstrations are separate; automatic enforcement for arbitrary SOPs is not yet available.