customer_support · healthcare · workflow
The Flossery replaces a human answering service with Upfirst AI to document every patient call
As The Flossery grew, the front desk could not keep up with high call volume, and a human answering service brought in to help was expensive, produced garbled messages with wrong phone numbers, and still failed to deliver accurate patient information to the team.
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 · Incoming patient call
Upfirst handles incoming calls to the dental practice.
Tools used
Upfirst
Outcome
Every patient call is now documented with full summaries sent via email and text, no missed calls are lost, and the owner can hold the team accountable for follow-up.
What failed first
A human answering service proved costly and unreliable — it produced garbled messages and wrong phone numbers and was too expensive to justify.
Results
Volumenot lose any missed calls
Grounding & classification
Source type: vendor customer story
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ai receptionistconversational aisummarizationcall recordingknowledge basefailure mode describedhuman review describednamed customerproduction runtime claimedsource backedtools describedworkflow describedhealthcareemployee productivityvendor customer storyappointment schedulingcustomer supportvoice call handling