Govern, monitor, and resolve patient accounts at hospital scale.
Sonnata sits as an independent resolution layer between your RCM core and your patients — orchestrating intake, empathy, compliance, and EHR-native integration as one auditable system. The audit trail, policy enforcement, and FHIR-native thread hospital operators expect.
Govern every patient conversation at hospital scale.
Onboard agents from Sonnata's stack or from any third-party system into a single, governed repository. Monitor performance, enforce policy, and steer AI operations from one command center — without porting your RCM workflow.
- Single pane of glass for every agent, every channel
- Per-account decision trace, queryable end-to-end
- Policy enforcement at generation time — not after the fact
- 14:08:22 A-7062 · Empathy handoff → Plan agent Reg F
- 14:08:18 A-3194 · Charity-eligibility flagged from dialog Resolved
- 14:08:14 A-8421 · Payment plan offered, 18 mo Accepted
- 14:08:09 A-5388 · PHI redacted in transcript §4 HIPAA
Adopt AI responsibly with HIPAA-grade governance.
Encryption, access controls, and audit logging that meet hospital IT review without exception requests. Reg F, TCPA, FDCPA, and HIPAA aren't bolted on — they're enforced at generation time, on every message.
- AES-256 at rest, TLS 1.3 in transit, per-tenant key isolation
- Automatic PHI redaction in transcripts and logs
- BAA-ready · SOC 2 Type II in progress
Optimize agent performance with real-time observability.
Continuously monitor operational data to debug, analyze, and optimize agent behavior in production. The same data your operators use lands in the same place your compliance officer audits from.
- Sessions, messages, tokens — live across every channel
- Conversation scoring tied to HCAHPS uplift, not just collection rate
- Drill from KPI to per-message decision in two clicks
Unify resolution workflows across RCM and clinical teams.
Break down delivery bottlenecks with no-code, low-code, and pro-code authoring side by side. RCM ops author cadence and policy. Engineering ships custom agents in Python. Same canvas, same audit trail.
- Drag-and-drop authoring for non-engineers, with guardrails
- Python SDK for custom agents, retrievers, and policy hooks
- Version control and staged rollout for every workflow
Deliver real-time clinical & financial context with agentic RAG.
Agents retrieve and reason over the patient record — encounter, EOB, coverage, and plan history — so every response is grounded in the right context. No hallucinated balances. No guessed policies.
- FHIR-native retrieval from Epic, Oracle Health, athenahealth
- Per-source provenance attached to every generated answer
- Live retrieval trace for compliance review and debugging
| Eval scenario | |||
|---|---|---|---|
| Plan negotiation | Pass | Pass | Pass |
| Charity screening | Pass | Pass | Fail |
| Dispute handling | Fail | Pass | Fail |
| Escalation | Pass | Fail | Pass |
Fast-track production-ready agents with confidence.
Test prompts, models, and agents in a unified evaluation harness tied to the outcomes that actually matter — tone, compliance, and resolution — not just collection rate. Move from experimentation to production without compromising performance.
- Hospital-data-permissioned evaluation harness
- HCAHPS uplift tied to conversation tone scoring
- Staged rollout with side-by-side champion / challenger
Automate complex resolution with multi-agent orchestration.
Specialized agents — each purpose-built for a slice of the patient journey — collaborate under a reasoning orchestrator. Intake routes. Empathy disarms. Plan negotiates. Compliance enforces. EHR closes the loop.
- Intake → empathy → plan → compliance → EHR write-back
- Multi-model routing for cost & quality on a per-task basis
- Every handoff logged, every policy enforced at generation time