call_center_ai · finance · workflow
Bradesco Seguros elevates customer experience with Verint Speech Analytics and Verint Quality Bot
Bradesco Seguros needed to evaluate customer calls more efficiently and reduce heavy reliance on manual human intervention to achieve improved operational efficiency and cost reduction at scale.
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 call received
Every customer call enters the automated evaluation system for 100% coverage.
Tools used
Verint Speech AnalyticsVerint Quality Bot
Outcome
Bradesco Seguros achieved a 9-point year-over-year increase in NPS, reduced product-related complaints by 55%, and achieved an approximate 70% reduction in resources allocated to standardized activities.
Results
Volume9-point
Source
https://www.verint.com/case-studies/bradesco-seguros-elevates-customer-experience-with-verint/
Grounding & classification
Source type: vendor customer story
22 fields verified against source quotes.
quality inspectionspeech to textcall recordingmetric backednamed customertools describedvendor confirmedworkflow describedinsuranceautomation ratecost reductioncustomer satisfactionerror reductionvendor customer storycall center aicustomer supportquality assuranceautonomous resolution