Approved-knowledge grounding
Agents answer only from the sources you approve, no open-web guessing.
Patient access and member services, answered and resolved, on your existing stack.
For health systems, medical groups and health plans. Orvera runs the access center and the member services line across voice, chat and digital, resolves the conversation on the systems you already run, and audits every one.
Two operations
One category, two very different phone lines.
The person who owns patient access and the person who owns member services answer to different regulators, sit on different systems of record and are measured on different numbers. Start where you actually sit.
For providers
Patient access.
Health systems and medical groups. The access center end to end, resolved on the EHR you already run.
- Scheduling and reminders that rebook on the call
- The bill question the patient called about
- Portal messages triaged before clinical staff see them
- Verification checked on every call, not a sample
Member services.
The member line and the provider line, resolved on the core administrative platform you already run.
- Every CMS call-center behavior, audited
- Benefits and claim status from the member's own plan
- Eligibility verification on the provider line
- CAHPS drivers, in year, from real calls
Run both? Integrated systems that own hospitals and a health plan get one deployment across both operations. Start on either page, and the program covers the other.
Why coverage decides it
How does Orvera measure quality across healthcare contact center conversations?
Orvera AI audits 100% of healthcare conversations, human-handled and AI-handled alike, scored against a provider or health plan's own identity verification and minimum-necessary standard. A quality program built on a sample returns an estimate of the compliance rate. Orvera AI returns the rate itself plus the individual record behind it, with every score linked to the transcript that produced it.
A quality program on a sample
A sampleof conversations reviewed
- An estimate of your verification compliance rate, with a confidence interval
- No way to say which conversation failed
- The complaint you have to summarize is rarely the one the sample caught
- Coaching evidence, not the record an examiner asks for
Orvera
100%of conversations audited
- The rate itself, plus the individual record behind it
- Scored against your own verification and minimum-necessary standard
- Human-handled and AI-handled conversations alike
- Every score linked to the transcript that produced it
Proof
What do Orvera's healthcare calls sound like?
Orvera AI's healthcare calls are real recorded conversations from the two sides of the industry that staff separate contact centers: providers and their patients, and health plans and their members. They run on scheduling, eligibility, prior authorization, benefits and billing questions, each worked to a finish on the EHR or core administrative system the organization already runs, then transcribed, summarized and scored.
Providers and patients
Appointment scheduling, inbound
Listen for how the visit type and the live calendar slot get settled inside one contact.
Pre-visit call ahead of an appointment
Listen for the registration and coverage detail captured before the day of the visit.
Appointment confirmation with the patient
Listen for the confirmation, and what happens when the patient wants to move the appointment.
Patient calling about a lab result
Listen for identity verification, and for where the conversation stops being administrative.
Patient-initiated balance inquiry, inbound
The patient placed this call. Listen for the plain-language explanation of what is owed and why.
Payers
Eligibility and benefits check
Listen for the coverage and cost share read back from the plan's own record.
Open enrollment question
Listen for how a plan-year question is handled inside the enrollment window.
Claim status check, inbound from a provider office
Listen for how the calling office is authenticated before any claim detail is given.
Speed to value
How long does deployment take for a healthcare contact center?
Orvera AI reaches full production deployment in a healthcare contact center in 3 to 6 weeks, working from your own access protocols and benefit rules. Those rules are mapped into executable logic, tested and validated across scenarios before go-live, and deployed inside your existing EHR, core administrative platform and CCaaS. Timelines depend on workflow complexity and enterprise requirements.
3-6weeks
to full production deployment.
- Your own protocols and benefit rules mapped into executable logic
- Tested and validated across scenarios before go-live
- Deployed within your existing EHR, core platform and CCaaS
Timelines depend on workflow complexity and enterprise requirements.
Enterprise-ready
Orvera AI scores identity, authority and minimum necessary on 100% of healthcare conversations, human-handled and AI-handled alike, because every access call is a PHI disclosure and every member call sits inside a CMS standard. Agents answer only from the sources you approve, and a complete report, transcript and summary is kept for every interaction across every channel.
Verification on every disclosure
Identity, authority and minimum necessary, scored on 100% of conversations.
Full audit logs
A complete report, transcript and summary for every interaction.
Granular controls
Permissions, guardrails and policy, configured per channel and use case.
How does a health system or health plan get started with Orvera?
Orvera AI starts on one queue. Bring your scheduling line or your member services line, and Orvera AI builds it, deploys it and runs it inside 3 to 6 weeks. The queue runs on the EHR, core administrative platform and CCaaS already in place.