AI case study

BCUQuality assurance

Vague surveys hid why 360K members called. Managers now use AI to analyze every conversation, score agents, and train support chatbots.

Published|2 days ago

Key results

Annual Labor Savings
$100K+
Servicing Cost Savings
$50K+
Agent Attrition Rate
10%

Result highlights

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The story

Context

A top 100 U.S. credit union managing nearly $6 billion in assets and serving 360,000 members.

Challenge

Traditional post-interaction surveys failed to provide the granular insights needed to understand why members were calling or what influenced their...

Solution
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Scope & timeline

  • 10%+ increase in chat and self-service adoption

Quotes

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The company

Credit union offering banking, loan, and investment services for members.

IndustryFinancial Services
LocationVernon Hills, IL, USA
Employees251-1K
Founded1981

The vendor

Capacity logo

Capacity

capacity.com

AI-powered support automation platform for customer and employee helpdesk tasks.

IndustrySoftware & Platforms
LocationSt. Louis, MO, USA
Employees51-250
Founded2017

Use case

BCU's Quality assurance is part of this use case:

Conversation Intelligence
33 case studies(+100% YoY)
Proven impact?
LowModerateVery Strong
7.5Strong
4.2Moderatewithin Financial Services
7.2Strongwithin Customer Service

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