HIPAA-Compliant AI Voice Agents: Built for Healthcare from Day One
Why HIPAA compliance matters for voice AI
Healthcare is one of the highest-value markets for voice AI — appointment scheduling, patient intake, prescription refill lines, and after-hours triage are all automatable with the right platform. But healthcare calls involve Protected Health Information (PHI): names, dates of birth, diagnoses, medication information, insurance details. Any platform processing PHI must comply with HIPAA, and specifically must sign a Business Associate Agreement (BAA) with covered entities before handling any PHI. The majority of voice AI platforms — including Bland AI, Vapi, and several others — either do not offer BAAs at all, or restrict them to enterprise contracts with six-figure annual commitments.
How Persistence handles HIPAA
Persistence offers signed BAAs to all customers on our Growth and Enterprise plans — not just large enterprises. Our infrastructure was designed for healthcare workloads from the beginning: all call audio, transcripts, and call data are encrypted at rest (AES-256) and in transit (TLS 1.3). We support data residency requirements that keep PHI within specified geographic boundaries. PII and PHI redaction runs automatically on all transcripts, with configurable field-level controls so you decide what's stored. Our security architecture has been reviewed by independent healthcare compliance auditors and passed SOC 2 Type II certification.
Automatic PII and PHI redaction
Persistence's real-time PII redaction identifies and removes sensitive data from call transcripts automatically: names, phone numbers, SSNs, dates of birth, insurance member IDs, diagnosis codes, and medication names. Redaction happens on-device in the processing pipeline — the unredacted text never leaves the inference node. You can configure which fields to redact and which to retain for your specific workflow. This is the kind of data handling that takes competitors months of custom implementation to achieve. Persistence ships it as a standard feature, enabled by default for all healthcare customers.
Enterprise security: toll fraud, call authentication, and access controls
Voice AI introduces security attack surfaces that don't exist in text-based AI. Toll fraud — where malicious actors exploit voice systems to make expensive international calls — is a real threat that has cost companies millions. Persistence implements real-time toll fraud detection that monitors call patterns for anomalies and automatically blocks suspicious traffic. All API access uses rotating key authentication with IP allowlists and granular permission scopes. Role-based access controls let you separate what your engineering team, compliance team, and clinical staff can see and do within the platform.
What healthcare customers build on Persistence
The most common healthcare deployments on Persistence are: patient appointment scheduling and reminders (reducing no-show rates by 35–40% through proactive AI outreach), after-hours triage and urgent care routing, prescription refill request handling, and patient satisfaction surveys post-discharge. One regional health system running Persistence handles 200,000 patient calls per month with 4 FTEs monitoring rather than the 40 FTEs they needed previously. The platform pays for itself before the end of the first quarter.
