R1 RCM, which runs revenue cycle operations for health systems, is testing a Sierra AI agent on incoming patient calls. Sierra reports the agent resolving up to 40% of incoming calls in early testing.
Reported outcomes
Outcomes are reported exactly as stated by the source; we have not independently audited them.
How it works
- AI agent answers inbound patient calls on behalf of R1's provider clients.
- Escalates unresolved calls to human representatives.
Risks & compliance
- Wrong or hallucinated answers to customers; needs guardrails and handoff
- Vendor-published results; not independently audited
- PHI and patient financial data (HIPAA)
Healthcare cases cover operational and commercial workflows. Nothing here is medical advice or a claim about a device's or drug's efficacy.
Editor's notes
- Early-testing figure; deployment status recorded as pilot.
Tools mentioned & how to build it
Disclosure: Some links may earn us a commission; it never affects grades. Tools are listed by fit to this case, never by payment.
Tools mentioned
- Sierra (Sierra)
Conversational AI agents for customer service, chat and voice.
Build a version yourself
- Retell AI
Build and deploy phone agents for scheduling, intake and call routing. - ElevenLabs
Voice models and a conversational-agent platform behind many voice agents. - n8n
Open-source workflow automation with AI agent nodes; self-host or cloud.
Sources
“The AI agent is already resolving up to 40% of incoming calls in early testing.”R1 RCM and Sierra
Grade rationale: Named organization with a quantified outcome from the vendor or the organization itself (self-reported). Automated check on Oct 17, 2026: 1/1 quotes and 1/1 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.
