call_center_ai · healthcare · workflow
HOPE AI voice assistant answers 100% of insurance FAQ calls at Southwest General, saving $4 per call
Payer contract negotiations triggered a surge of insurance inquiries from patients worried about billing, coverage, and network status. Staff struggled to keep responses current, could not cover after-hours calls without adding shifts, and spent significant time on repetitive questions instead of urgent patient needs.
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 · Patient calls insurance line
Patients calling the designated insurance line are greeted by HOPE and offered automated help.
Tools used
HOPE
Outcome
HOPE handled 40-60% of inbound insurance inquiries during the project, resolved many calls without a live agent, and generated $4 per call savings projected at full scale, while providing 24/7 patient access and freeing staff for more complex issues.
Results
Volume100%
Cost replaced$4 per call
Grounding & classification
Source type: vendor customer story
26 fields verified against source quotes.
ai agentconversational aivoice aiknowledge basehuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedhealthcarecost reductiondeflection rateemployee productivityresolution time reductionvendor customer storycall center aicustomer supportautonomous resolutionescalation workflowvoice call handling