call_center_ai · finance · workflow

Bradesco Seguros Achieves 100% Call Audit Coverage with Verint Speech Analytics, Reducing Operators and Costs

Bradesco Seguros, receiving more than one million calls per month, could audit only four calls per operator per month, making systematic quality control across its call center essentially impossible 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 · High-volume calls received
Bradesco typically receives more than one million calls per month.
Tools used
Verint Speech Analytics
Outcome

After deploying Verint Speech Analytics, Bradesco can audit 100% of its calls, has reduced the number of operators needed, and observed significant improvements in average handling time and customer satisfaction as evidenced by NPS growth.

Results
Time savedquatro ligações por operador por mês
Volumemais de um milhão de ligações por mês
Cost replaced100%
Source

https://www.verint.com/case-studies/latin-american-insurance-giant-bradesco-realizes-major-cost-and-quality-improvements-with-verint-speech-analytics-portuguese/

How we source this →

Grounding & classification
Source type: vendor customer story
27 fields verified against source quotes.
quality inspectionspeech to textcall recordingmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedinsuranceautomation ratecost reductioncustomer satisfactionemployee productivitytime savedvendor customer storycall center aicompliance monitoringquality assurancemonitor detect alert