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.
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.
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.
Frequently asked questions
What did this team achieve with this AI workflow?
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 tools did this team use?
ElevenAgents, ElevenLabs.
What results were reported?
Inbound calls resolved end-to-end by agent: around 90%; Care provider efficiency: significant efficiency gain (source-reported, not independently verified).
What failed first in this deployment?
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.
How is this call center ai AI workflow structured?
Caller dials phone number → Agent delivers care info → Out-of-scope call forwarded.