call_center_ai · healthcare · workflow
Eldra resolves around 90% of inbound calls end-to-end for elderly home care using ElevenAgents
Elderly home care users need trustworthy, clear phone-based support for instant answers about care visits, but voice assistants that sound synthetic or respond too slowly cause users to lose trust, while care providers face growing demand under staffing and funding pressure.
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 · Caller dials phone number
Seniors, family members, and home care staff call a regular phone number to ask about upcoming visits, who is coming, or changes in plans.
Tools used
ElevenAgentsElevenLabs
Outcome
Around 90% of inbound calls are now resolved end-to-end by the agent, creating a significant efficiency gain for care providers, with users staying engaged longer and increasingly relying on the assistant.
What failed first
Eldra tested multiple voice providers and found that none other than ElevenLabs met their requirements for voice quality and language support, including low-latency natural Swedish.
Results
Volumearound 90%
Grounding & classification
Source type: vendor customer story
25 fields verified against source quotes.
ai agentai receptionistconversational aivoice aicall recordinghuman review describedmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedhealthcareautomation ratedeflection rateemployee productivityvendor customer storycall center aicustomer supportautonomous resolutionescalation workflowvoice call handling