call_center_ai · finance · workflow
Oportun transforms QM and reduces workload by 50% with Cresta
Oportun's quality management relied on resource-intensive sampling and legacy technology, leaving captured agent and customer data largely untapped. The team could not identify coaching opportunities in real time, lacked holistic visibility into agent performance, and had concerns about risk vulnerabilities.
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 · Voice and chat interaction
Customer interactions arrive via voice and chat channels.
Tools used
CrestaCresta Conversation IntelligenceCresta Agent Assist
Outcome
After deploying Cresta, Oportun shifted to 100% QA conversation coverage and cut QM workload by 50%. Agents gained real-time coaching and transcription capabilities, leading to increased confidence, productivity, and reduced attrition.
Results
Volume100%
Grounding & classification
Source type: vendor customer story
28 fields verified against source quotes.
agent assistquality inspectionspeech to textcall recordingchat transcriptfailure mode describedhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedfinancial servicesautomation rateemployee productivitytime savedvendor customer storycall center aicustomer supportquality assurancemonitor detect alert