Verint helps a leading dental and veterinary products supplier increase call evaluations from 1% to 80% of volume
The company could no longer rely on paper-based workforce scheduling and was evaluating fewer than 1% of customer calls, leaving quality assurance largely blind at a high-volume contact center.
Call evaluation coverage rose from under 1% to 80% of volume, quality scores improved by 37%, and CSAT scores reached into the 90s.
The company saved $2 million by reducing quality managers, reallocated 46 employees to strategic roles, and reduced average handle time by two minutes. Coaching sessions became 10 minutes shorter and more targeted.
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Frequently asked questions
What did this team achieve with this AI workflow?
Call evaluation coverage rose from under 1% to 80% of volume, quality scores improved by 37%, and CSAT scores reached into the 90s.
What tools did this team use?
Verint Workforce Management, Verint Speech Analytics, Verint Quality Bots, Verint Desktop and Process Analytics, Verint Voice Survey, Verint Performance Management, Verint Open CCaaS Platform.
What results were reported?
Call evaluation coverage: 1% to 80%; Quality scores improvement: 37%; CSAT scores: into the 90s; Cost savings from quality managers: $2 million (source-reported, not independently verified).
How is this call center ai AI workflow structured?
Customer interaction arrives → AI quality scoring → Speech analytics analysis → Compliance monitoring → Post-call voice survey → Unified performance scorecard → Coaching alerts and sessions.