customer_support · healthcare · workflow
LifeScan delivers personalized customer care with Aisera's AI Agent Platform
LifeScan's support operations were heavily reliant on manual, reactive processes that could not keep pace with a rapidly growing customer base of over 4.7 million users, resulting in long wait times, increased agent fatigue, and an inability to provide timely around-the-clock service.
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 inquiry arrives
Customers submit support inquiries that are resolved in seconds through self-service.
Tools used
Aisera AssistantRAGdomain-specific LLMs
Outcome
The OneTouch® Assistant automated 65% of incoming support requests, saved $2.2 million, improved customer satisfaction (CSAT) by 70%, and cut response times from days to seconds while reducing redundant inquiries and alleviating agent fatigue.
Results
Time savedfrom days to seconds
Volume65%
Cost replaced$2.2M+
Running since2022
Grounding & classification
Source type: vendor customer story
28 fields verified against source quotes.
conversational aiknowledge searchragsupport agentknowledge basesupport ticketmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedhealthcareautomation ratecost reductioncustomer satisfactionresolution time reductionvendor customer storycustomer supportautonomous resolutionrag answering