Decision Graphs for Retell AI Voice Agents
Retell AI handles the conversation. Mala seals the decisions. Every routing choice, clinical escalation, and call outcome — cryptographically proven and audit-ready.
Retell AI enables sophisticated AI voice agents for healthcare: patient intake, nurse line triage, appointment scheduling, post-discharge follow-up, and clinical call center support. These agents make real-time decisions that affect patient safety and create regulatory obligations. Under HIPAA's audit control requirements and emerging state health AI laws, every decision the agent makes — who gets escalated, which protocol applies, when a human nurse is required — must be logged in a tamper-proof record. Mala's decision graph layer integrates with Retell AI to create this record automatically, without modifying your voice agent's logic.
What Retell AI Provides vs What HIPAA Requires
Retell AI provides call transcripts, conversation logs, and analytics for your voice agents. These are valuable for quality assurance and agent improvement — but they are not HIPAA-compliant audit infrastructure. HIPAA §164.312(b) requires a tamper-proof audit control mechanism that records AI activity touching protected health information. Retell's call logs can be accessed and modified by platform administrators. Mala's decision graph nodes are cryptographically sealed at the moment they are created — proving they have not been altered since the decision occurred.
Mala's Integration with Retell AI
Mala's Ambient Siphon instruments Retell AI via webhook. When a Retell AI voice agent makes a decision — routing a call to emergency triage, scheduling a callback with a nurse, recommending self-care guidance, escalating to an on-call clinician — the Retell webhook triggers the Siphon. The Siphon captures the decision context (what the patient reported, which clinical protocol matched, what confidence threshold applied), policy-checks the decision against your governance rules, and seals the result as a decision graph node. The Retell agent continues unmodified — Mala captures the governance record in parallel.
Clinical Governance for Retell AI at Scale
Healthcare call centers using Retell AI can process hundreds of inbound patient calls per hour. At this scale, manual audit review is not feasible — you need automatic, continuous governance infrastructure. Mala provides continuous decision logging for every call handled by your Retell AI agent: every routing decision sealed, every clinical escalation recorded, every patient interaction governance-checked against applicable clinical policies. The result is a queryable, exportable decision graph that gives compliance teams, clinical governance committees, and regulators a complete picture of your AI voice agent's production behavior.
Retell AI Decision Governance for Specific Clinical Workflows
Different clinical workflows have different governance requirements. For nurse line triage, Mala captures: chief complaint, clinical protocol matched, severity tier assigned, routing outcome (emergency vs. nurse callback vs. self-care), and confidence level. For appointment scheduling, Mala captures: appointment type requested, availability match, scheduling decision, and any priority escalation applied. For post-discharge follow-up, Mala captures: patient status report, clinical flag triggers, and whether the call resulted in a clinical escalation. Each workflow type produces a specialized decision graph structure optimized for that workflow's audit requirements.