customer_support · finance · workflow
Propel Holdings scales contact center with Cresta AI, achieving 58% chat containment and 50% reduction in after-call work
Propel Holdings faced pressure to maintain exceptional service as contact volumes rose without adding headcount proportionally. Agents spent significant effort on manual documentation, navigating systems, and searching for information. Collections operations required deeper customer insight in a regulated financial services environment.
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 contact via voice or chat
Customers contact Propel across voice and chat channels.
Tools used
CrestaAI Agent for ChatAgent AssistConversation Intelligence
Outcome
Cresta delivered a 58% chat containment rate and reduced after-call work by 50% (from 3 minutes to 90 seconds). Call monitoring coverage increased to 100%, and the platform supports forecasted contact volume growth of 30–40% with minimal headcount increases.
Results
Time savedfrom 3 minutes to 90 seconds
Volume58%
Grounding & classification
Source type: vendor customer story
33 fields verified against source quotes.
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