AI case study

CAREGrant proposals

As funding contracted, 20 fundraisers rebuilt every proposal from scratch. Shared skills now encode team methods for any colleague to apply.

Published

Key results

Flood Map Build Time
~70 hours
vs months of consultant work
Budget Analysis Time
< 1 day
Weekly Team Time Savings
60–100 hours

Result highlights

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Where AI sits in the process

Where AI sits in this process. Unlock to see each step. AI PEOPLE Enaroti Enaroti Enarot Enaro
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The story

Context

A humanitarian organization operating since 1945 across more than 100 countries, with global fundraising, finance, legal, and program design functions each run by small, specialized teams.

Challenge

As humanitarian funding contracted over 24 months, every function was asked to do more with less. Fragmented systems meant colleagues regularly...

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 vendor

Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.

IndustrySoftware & Platforms
Location2 Pennsylvania Plaza, 10121, York, New York, United States
Employees1K-5K
Founded2021

Use case

CARE's Grant proposals is part of this use case:

Document Drafting
100 case studies(-8% YoY)
Proven impact?
Average
3.2Typical
3.2Typicalwithin Non-Profit & Social Impact
3.2Typicalwithin Sales

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100 AI case studies in Document Drafting

91 AI case studies in Non-Profit & Social Impact

222 AI case studies in Sales