Rising call volume outpaced staff capacity, creating a cycle of catching up. An AI agent now handles 7k calls a month, booking directly to the EHR.
A physician-owned dermatology practice with over 30 providers across multiple locations in Arizona was experiencing rapid growth.
As the practice expanded, patient call volume steadily climbed, outpacing the staff's capacity and requiring constant headcount additions to manage....
“Our call volume continued to increase. We just really couldn't get ahead of the volume without having to constantly add to the headcount.”
Medical, aesthetic, and surgical dermatology practice focused on skin cancer care.
AI automation platform for housing and healthcare communication workflows.
Affiliated Dermatology's Patient call handling is part of this use case:
Related implementations across industries and use cases
Torn between phones and patients, staff missed 30% of calls. Now, AI handles scheduling and routes tasks, freeing them for in-person care.
Solo front desk staff juggled check-ins and thousands of calls. Now, an AI manages 24/7 scheduling directly in the EHR.
Four-minute scheduling calls bottlenecked clinical staff. Now, voice AI proactively books appointments and updates medical charts.
Saturated queues kept customers waiting. AI now handles the overflow, resolving 40% of calls and freeing staff for complex cases.
Rigid phone menus struggled to engage patients. Voice AI now handles screening reminders with native fluency in English and Spanish.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Staff missed the 30% of leads arriving after hours. AI agents now field 24/7 chats and book tours, prioritizing ready buyers.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Rising call volume outpaced staff capacity, creating a cycle of catching up. An AI agent now handles 7k calls a month, booking directly to the EHR.
A physician-owned dermatology practice with over 30 providers across multiple locations in Arizona was experiencing rapid growth.
As the practice expanded, patient call volume steadily climbed, outpacing the staff's capacity and requiring constant headcount additions to manage....
“Our call volume continued to increase. We just really couldn't get ahead of the volume without having to constantly add to the headcount.”
Medical, aesthetic, and surgical dermatology practice focused on skin cancer care.
AI automation platform for housing and healthcare communication workflows.
Affiliated Dermatology's Patient call handling is part of this use case:
Related implementations across industries and use cases
Torn between phones and patients, staff missed 30% of calls. Now, AI handles scheduling and routes tasks, freeing them for in-person care.
Solo front desk staff juggled check-ins and thousands of calls. Now, an AI manages 24/7 scheduling directly in the EHR.
Four-minute scheduling calls bottlenecked clinical staff. Now, voice AI proactively books appointments and updates medical charts.
Saturated queues kept customers waiting. AI now handles the overflow, resolving 40% of calls and freeing staff for complex cases.
Rigid phone menus struggled to engage patients. Voice AI now handles screening reminders with native fluency in English and Spanish.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Staff missed the 30% of leads arriving after hours. AI agents now field 24/7 chats and book tours, prioritizing ready buyers.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.