AI case study

Big Brothers Big Sisters of AmericaMentor matching

Manual reviews took 8 weeks. AI agents now score matches on shared values and longevity, projected to cut wait times by 50%.

Published|8 months ago

Key results

Wait Time Reduction
50%

Result highlights

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The story

Context

A national nonprofit operates across 5,000 communities to coordinate over 60,000 mentorships annually, yet faces a backlog of 30,000 children waiting for placement.

Challenge

Matching specialists spent weeks manually reviewing applications and interview notes to identify compatible pairings, a labor-intensive process that...

Solution
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Quotes

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The company

Big Brothers Big Sisters of America logo

Big Brothers Big Sisters of America

bbbs.org

Non-profit youth mentoring network matching adult volunteers with children.

IndustryNon-Profit & Social Impact
LocationTampa, FL, USA
Employees251-1K
Founded1904

The vendor

AI-powered CRM platform for sales, service, marketing, and commerce teams.

IndustrySoftware & Platforms
LocationSan Francisco, CA, USA
Employees50K-100K
Founded1999

Use case

Big Brothers Big Sisters of America's Mentor matching is part of this use case:

Predictive Analytics
57 case studies(+85% YoY)
Proven impact?
LowModerateVery Strong
8.1Very strong
3.1Moderatewithin Operations

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