patient_onboarding · healthcare · workflow
Pair Team builds autonomous AI care manager with ElevenLabs Agents Platform
Traditional healthcare systems overlook social determinants of health such as housing, food, and transportation, and scaling Pair Team's holistic, integrated care approach across the 100 million Americans relying on the safety net was costly and time-consuming.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Patient contact via phone or SMS
Patients engage with the care agent through simple phone calls and texts.
Tools used
ElevenLabs Agents PlatformElevenLabs testing framework
Outcome
Pair Team's existing care model has reduced emergency room visits by 52% and hospital admissions by 25% among enrolled patients. Since launching the AI agent, thousands of patients have engaged with conversations averaging more than 9 minutes, and pre-deployment safety testing achieved a 99.9% success rate across 3,121 simulated high-risk scenarios.
Results
Time savedmore than 9 minutes
Volume52%
Grounding & classification
Source type: vendor customer story
33 fields verified against source quotes.
agentic workflowai agentconversational aimulti agent workflowvoice aicall recordinghuman review describedmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedhealthcareaccuracy improvementcustomer satisfactionthroughput increasevendor customer storyappointment schedulingcall center aipatient onboardingautonomous resolutionescalation workflowvoice call handling