Manual coordination slowed care. Voice agents now manage intake and housing aid via phone, scaling safely after 3,000+ safety simulations.
A vertically integrated medical group provides holistic care and social support to high-needs Medicaid and Medicare beneficiaries across the United States.
Coordinating social services like housing and food is manual and costly to scale, while many patients lack the smartphones or internet access...
“Safety has to come first when deploying AI in healthcare. ElevenLabs enabled us to quickly scale evaluations of our agents across high-risk scenarios like suicidal ideation and domestic violence, and to verify that clinical questions were appropriately escalated to clinicians. Within days of building the agent, we were able to run thousands of simulated interactions, giving us real confidence that the agents would do the right thing when engaging with the patients we serve.”
Care delivery platform integrating medical, mental health, and social services.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Pair Team's Patient care coordination is part of this use case:
Related implementations across industries and use cases
Manual outreach couldn't keep pace. AI agents now contact 100,000 patients in a single day for preventative care.
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
Aggregate scores hid when the coach veered into clinical territory. Adversarial simulations now block every boundary slip before it ships.
40,000+ monthly alerts dialed by hand. Patient volume doubled yearly; median wait hit 1 hour 48 minutes. Agents now call in 3.5 minutes.
Four-minute scheduling calls bottlenecked clinical staff. Now, voice AI proactively books appointments and updates medical charts.
Each call-out meant manual texts, credential checks, and policy work—often after hours. Swift handles logistics; managers keep the judgment.
Charting ate into patient time and kept nurses late. Ambient listening now captures notes in real time as they move room to room.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Manual coordination slowed care. Voice agents now manage intake and housing aid via phone, scaling safely after 3,000+ safety simulations.
A vertically integrated medical group provides holistic care and social support to high-needs Medicaid and Medicare beneficiaries across the United States.
Coordinating social services like housing and food is manual and costly to scale, while many patients lack the smartphones or internet access...
“Safety has to come first when deploying AI in healthcare. ElevenLabs enabled us to quickly scale evaluations of our agents across high-risk scenarios like suicidal ideation and domestic violence, and to verify that clinical questions were appropriately escalated to clinicians. Within days of building the agent, we were able to run thousands of simulated interactions, giving us real confidence that the agents would do the right thing when engaging with the patients we serve.”
Care delivery platform integrating medical, mental health, and social services.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Pair Team's Patient care coordination is part of this use case:
Related implementations across industries and use cases
Manual outreach couldn't keep pace. AI agents now contact 100,000 patients in a single day for preventative care.
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
Aggregate scores hid when the coach veered into clinical territory. Adversarial simulations now block every boundary slip before it ships.
40,000+ monthly alerts dialed by hand. Patient volume doubled yearly; median wait hit 1 hour 48 minutes. Agents now call in 3.5 minutes.
Four-minute scheduling calls bottlenecked clinical staff. Now, voice AI proactively books appointments and updates medical charts.
Each call-out meant manual texts, credential checks, and policy work—often after hours. Swift handles logistics; managers keep the judgment.
Charting ate into patient time and kept nurses late. Ambient listening now captures notes in real time as they move room to room.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.