customer_support · healthcare · workflow
Premier Sportsplex automates 65% of incoming calls with Replify AI receptionist
Staff at Premier Sportsplex and its sister facilities were constantly interrupted by incoming calls during practices and peak hours, with coaches pulled mid-session and front desk staff unable to focus on in-person members. Hiring additional full-time staff was not viable, but leaving calls unanswered was not acceptable either.
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 · Customer contacts via any channel
HeyLibby is deployed across phone, text, chat, and email to receive incoming customer inquiries.
Tools used
ReplifyHeyLibby
Outcome
Within months, Replify fully automated 65% of incoming calls, and by April 2025 nearly 50 inquiries per month were handled entirely by AI. Staff hours were freed for in-person service and the business turned a customer service bottleneck into a competitive advantage without adding headcount.
Results
Time savednearly 50
Volume65%
Source
https://www.replify.ai/case-studies/automating-sales-customer-service-at-busy-recreation-facilities
Grounding & classification
Source type: vendor customer story
27 fields verified against source quotes.
ai receptionistconversational aivoice aichat transcriptemailfailure mode describedhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedhospitalityautomation ratecustomer satisfactiontime savedvendor customer storyappointment schedulingcustomer supportautonomous resolutionescalation workflowvoice call handling