We build HIPAA-compliant voice AI agents on Retell — the platform built for regulated industries. Visual flow editor, sub-600ms latency, and a compliance architecture that passes audit.
Insurance, healthcare, and financial services have compliance requirements that standard voice AI platforms cannot meet out of the box. Retell is built for this.
Inbound and outbound agents for policy qualification, first-notice-of-loss intake, and claims status updates. Retell's HIPAA/compliance-ready infrastructure and visual flow editor map directly to insurance call scripts — no translation layer needed.
P&C, health insurance, life, brokerage
60–75% IVR containment on routine inquiries
HIPAA-compliant appointment booking, patient triage, referral coordination, and after-hours answering. Retell's encrypted data handling and BAA support make it the right choice for healthcare without custom infrastructure work.
Medical practices, dental, mental health, home health
Sub-600ms responses, BAA on Business plan
Replace legacy IVR trees with conversational AI agents that understand intent rather than menu numbers. Account inquiries, loan status, payment processing confirmations, and appointment scheduling — all on Retell's compliant infrastructure.
Banking, lending, mortgage, credit unions
70–80% IVR deflection without compliance exposure
Outbound agents built for compliance — script adherence tracking, call recording for audit, do-not-call list integration, and consent management. Built specifically for industries where every call has legal exposure.
Debt collection, financial services, regulated healthcare
Full script adherence + audit trail on every call
Retell uses a state machine model with a drag-and-drop editor. For regulated scripts with complex branching, this is the right abstraction — not a free-form LLM prompt.
Prompt-first (Vapi) — flexible, less structured
System prompt defines all logic in natural language.
Great for: open-ended conversations,
personalised interactions, simple flows.
Risk: edge cases rely on LLM judgment.
State machine (Retell) — explicit branching
Node: Greeting
→ Branch: "claim" → Node: ClaimsIntake
→ Branch: "policy" → Node: PolicyLookup
→ Branch: "billing" → Node: BillingAgent
→ Fallback: Node: TransferHuman
Every path is explicit. No LLM improvisation.
Regulated script compliance
Insurance, FDCPA debt collection, and financial services require exact script adherence. State machine nodes lock each path — no LLM deviation possible.
Non-technical teams iterate on flows
Compliance officers and operations managers can modify conversation flows without a developer. In regulated environments, this reduces the engineering bottleneck on every script update.
Complex multi-branch logic
When a call flow has 15+ decision points and each branch has different data requirements, a visual state machine is easier to audit and maintain than a 2,000-word system prompt.
Audit and version control
Every flow version is saved and restorable. For compliance audits, you can show exactly what script version was active on a given call date — not possible with prompt-based platforms.
A BAA alone does not make your Retell deployment HIPAA-compliant. These five steps complete the architecture.
Enable Business Associate Agreement
Retell offers BAA on the Business plan. We initiate and execute this before any PHI touches the platform. This covers your Retell account; your STT/TTS providers need separate BAAs.
Separate BAAs for each BYOK provider
Deepgram: BAA available on Enterprise plan. ElevenLabs: BAA on Business plan. OpenAI: BAA available on ChatGPT Enterprise (not standard API) — use Azure OpenAI instead for PHI in LLM context.
Minimise PHI in call context
Design prompts to avoid holding PHI in the LLM context window. Patient identifiers (name, DOB, member ID) go to function calls that query your HIPAA-compliant backend — not into the system prompt or conversation history.
Configure data retention and recording
Retell logs call transcripts by default. Set retention policy to minimum required (often 6 years for HIPAA). Disable recording for calls that do not require audit trail. Store recordings in your own S3 bucket with server-side encryption.
Audit logging and access controls
Enable audit logging in Retell dashboard. Restrict dashboard access to minimum-necessary team members. Log every production config change. Review access quarterly.
There is no universally right choice. Here is the signal-based decision matrix we use internally.
| Signal | Pick | Why |
|---|---|---|
| Non-technical team needs to iterate on call flows | Retell | Visual flow editor — no code required for flow changes |
| HIPAA compliance required without custom infra | Retell | BAA available on Business plan, encrypted by default |
| Complex conversation branching logic | Retell | State machine model maps naturally to regulated scripts |
| API-first, full programmatic control | Vapi | Deeper webhook ecosystem, more LLM provider options |
| Scale above 10k min/month, cost is primary driver | LiveKit | Infra cost collapses; managed platform fees compound |
| Multi-agent handoffs or video rooms | LiveKit | Only platform with first-class multi-agent architecture |
Retell BYOK cost: $0.07/min platform fee + $0.006/min Deepgram + $0.05–0.10/min LLM + $0.02–0.04/min TTS = $0.15–0.25/min all-in. Slightly cheaper than Vapi BYOK ($0.23–0.33/min) at low-to-medium volume. LiveKit beats both above 10k minutes/month.
Problem
Flow editor overconfidence
Impact
Teams use the visual editor to build flows without engineering review. Works fine in demo; collapses under edge cases (caller interruptions, ambiguous intent, multi-step data collection) that the visual model cannot express cleanly.
Our Fix
We treat the visual editor as the specification layer, then validate every flow branch with adversarial test calls. Edge cases get explicit fallback nodes — not implicit LLM judgment.
Problem
PHI leaking into LLM context
Impact
Developers include patient name, DOB, or member ID in the system prompt for personalisation. This passes PHI to a non-HIPAA-covered API endpoint and creates a compliance violation on every call.
Our Fix
We architect a function-call boundary: the agent calls your HIPAA-compliant API to retrieve patient data mid-conversation, uses it only within that tool call response, and never stores it in LLM context.
Problem
Script drift on outbound compliance calls
Impact
LLMs improvise when callers go off-script. In regulated industries — debt collection, lending, insurance — an improvised statement can create legal liability.
Our Fix
For compliance-critical paths, we implement constrained generation: the LLM selects from a pre-approved response set rather than generating freely. Off-script callers get a redirect, not an improvised answer.
Problem
Retell 600ms latency ceiling
Impact
Retell targets 600ms response time. With heavy function calling (multiple API lookups per turn), response time can exceed 1s — noticeable on phone calls.
Our Fix
We profile every function call and parallelise where possible. For lookup-heavy flows, we pre-fetch likely data (patient record, account status) at call start and cache it for the duration of the call.
Problem
Missing do-not-call and consent handling
Impact
Outbound campaigns without DNC integration and consent verification create TCPA exposure. A single complaint can exceed the cost of the entire campaign.
Our Fix
We build DNC list checks into the pre-dial validation function — calls do not go out if the number is on the list. Consent records are written to your CRM before the call is made and verified at call start.
We scope and price every Retell project in a single 30-minute call — BAA execution, flow design, and compliance review included.