Hidden safety and compliance risk
Unsupported statements, missed escalations, incomplete consent, and workflow deviations can remain invisible until a complaint or incident.
Voice AI Assurance for Healthcare
Know what your healthcare voice AI actually hears, says and does.
Arna analyzes real patient calls, detects safety, compliance and workflow failures, measures their operational impact, and turns production issues into regression tests.
Call-level monitoring
Voice + tool-call tracing
Regression testing
Call #C-2841 · 02:14 · English
Appointment scheduling voice agent
P
01:31 · Patient
Can you move my cardiology appointment to Tuesday morning?
Scheduling APITimeout · no confirmation ID
AI
01:43 · Voice agent
Done — your appointment is confirmed for Tuesday at 10:30 AM.
! False confirmation: the appointment was not changed
Root cause
The agent interpreted a timed-out scheduling call as success instead of retrying or escalating to staff.
Built for teams deploying voice AI in real healthcare workflows
Voice-first by design. Arna can also evaluate chat transcripts when a workflow spans phone and messaging channels.
The production gap
Voice agents rarely fail where the demo tells you to look.
Failures emerge from accents, noise, interruptions, ASR errors, latency, clinical context, tool integrations, and real patient behavior that scripted demos miss.
False task completion
A voice agent can sound confident while a booking, referral, verification, or follow-up action fails behind the call.
Unmeasured business impact
Teams see call volume and latency, but not the revenue, rework, repeat calls, patient frustration, and trust lost to specific failures.
One continuous assurance loop
From production call to verified improvement.
Arna turns real patient calls into structured evidence your product, clinical, compliance, and operations teams can act on.
Discuss your workflow01
Monitor every call
Ingest call recordings, timestamped transcripts, speaker turns, ASR confidence, latency, agent events, tool calls, and outcomes through API, webhook, or batch upload.
02
Evaluate what matters
Score calls against configurable clinical, operational, compliance, patient-experience, voice-quality, and business criteria.
03
Find the root cause
Connect the failure to prompt logic, ASR, knowledge retrieval, tool use, workflow configuration, or an unhandled patient scenario.
04
Validate the fix
Convert real failures into regression tests, compare agent versions, and set quality gates before the next release.
A healthcare-specific evaluation layer
Measure quality beyond sentiment and call duration.
Use Arna’s configurable evaluation framework to connect what the agent heard, said, and did with patient risk, operational performance, and business outcomes.
Clinical safety
Risky reassurance, unsupported claims, symptom escalation, medication misunderstanding, and clinically important omissions.
Critical issues3
Protocol & compliance
Required disclosures, identity verification, consent, scripted questions, approved language, and internal policy adherence.
Protocol coverage91%
Task completion
Whether the actual booking, referral, transfer, verification, documentation, or follow-up action completed successfully.
Verified completion84%
Patient experience
Clarity, empathy, listening, interruption handling, repetition, silence, confusion, and the quality of the final next step.
Patient clarity88%
Business outcomes
Completed appointments, conversion, avoidable transfer, repeat contact, abandonment, staff rework, and lost opportunity.
At-risk revenue$18.4k
Technical reliability
ASR breakdowns, barge-in handling, silence, latency, tool-call failures, retrieval gaps, prompt regressions, model drift, and language-specific failure patterns.
Tool-call success96.2%
Production intelligence
See the failures that matter — not another wall of call transcripts.
Prioritize by severity, recurrence, affected workflow, patient segment, business impact, agent version, and likely root cause.
100%call coverage
12failure clusters found
4.6hmanual QA avoided
Top failure clusters
Last 7 days
1
Booking confirmed without successful tool responseScheduling agent · 38 calls
Impact$7.2k
2
Urgent symptom did not trigger human escalationIntake agent · 11 calls
SeverityCritical
3
Patient repeated insurance ID more than twiceEligibility agent · 64 calls
Repeat time94 min
4
Agent used outdated preparation instructionsReminder agent · 17 calls
SeverityHigh
Built for the teams accountable for AI outcomes
One assurance layer across vendors, workflows, and stakeholders.
For healthcare voice AI teams
Ship faster without learning about failures from your customers.
Monitor real patient calls, compare prompts, models and voice stacks, catch regressions, and give enterprise buyers evidence of reliability.
- Production call evaluation across every customer workflow
- Root-cause analysis linked to audio, transcript, latency, agent events and tool calls
- Regression suites built from real patient-call failures
For EHR, PM, telehealth, and care platforms
Embed trustworthy clinical AI without forcing every customer into one workflow.
Configure evaluations and structured outputs around the workflows, specialties, templates, and policies your customers already use.
- API-first OEM and white-label delivery
- Custom clinical and operational evaluation criteria
- Structured summaries, QA results, and audit evidence
For clinics and health systems
Independently verify how every patient-facing AI vendor performs.
Create a common quality standard across scheduling, intake, navigation, reminders, contact center, and clinical support workflows.
- Cross-vendor monitoring in one control plane
- Configurable policy, safety, and service standards
- Evidence for vendor governance and improvement reviews
API-first and vendor-neutral
Fit assurance around the stack you already operate.
Connect call recordings, timestamped transcripts, voice metadata, agent events, tool calls, and business outcomes. Return scores, failure clusters, structured evidence, and regression cases to the systems your teams already use.
REST APIWebhooksBatch uploadCustom criteriaExport & alerts
Designed for sensitive healthcare data
Flexible deployment and clear control over patient information.
Arna can be configured around customer security, retention, access, and infrastructure requirements.
Security language on this concept site intentionally says “designed for” and “HIPAA-aligned” rather than claiming certifications that must be independently verified.
HIPAA-aligned architecture
Encryption in transit and at rest, role-based access, audit visibility, and configurable retention.
Flexible deployment
Cloud, private-cloud, or on-premise deployment patterns depending on the customer environment.
Data minimization
Configure what is stored, how long it is retained, and which teams can access raw interactions.
Start with one production workflow
Find what your voice AI is missing before patients and customers do.
Bring one production workflow, a sample of real calls, and the outcomes you need to protect. We’ll map an initial voice assurance pilot.