AI case study

CARESurvey data analysis

Manual analysis delayed emergency prep by a month. AI now synthesizes feedback in 30 minutes, helping teams fix readiness gaps faster.

Published|1 year ago

Key results

Staff Time Reallocated
20%
Analysis Cycle Time
30 mins
vs weeks or even a month

Result highlights

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The story

Context

A global development nonprofit operating in 109 countries reaches 167 million people annually to fight poverty and respond to humanitarian crises.

Challenge

Staff spent 20% of their time manually synthesizing open-ended survey data on emergency readiness, creating reporting delays of up to a month. The...

Solution
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Quotes

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The company

International humanitarian organization fighting poverty and providing disaster relief.

IndustryNon-Profit & Social Impact
LocationAtlanta, GA, USA
Employees1K-5K
Founded1945

The AI provider

Enterprise software, cloud infrastructure, and consumer electronics platform.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

The implementation partner

Valorem Reply logo

Valorem Reply

valoremreply.com

Built a sentiment analysis solution in Azure OpenAI Service for CARE's emergency readiness surveys.

IndustryTechnology
LocationKansas City, MO, USA
Employees251-1K
Founded2001

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