Two staff manually routed urgent goods. An AI agent now automates matching for 10k+ partners, distributing relief 3x faster.
A nonprofit organization that has distributed over $18 billion in essential goods to more than 100 million people, coordinating a network of tens of thousands of nonprofit partners.
Only two employees were responsible for manually matching urgent disaster donations across tens of thousands of partners, requiring individual...
“The matching agent does what we intentionally built it for, but we didn’t realize there was so much more the agent was immediately able to answer. We didn’t have to build anything else out. It’s like magic, showing us things we hadn’t even thought about.”
Product donation platform connecting corporate surplus with nonprofits and charities.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
Good360's Donation routing is part of this use case:
Related implementations across industries and use cases
Manual reviews took 8 weeks. AI agents now score matches on shared values and longevity, projected to cut wait times by 50%.
Field techs relied on pen and paper. Now, an AI agent processes unified data to deliver real-time agricultural guidance to remote farmers.
Fragmented CRM data and manual spreadsheets bottlenecked a lean team. Now, staff use AI to clean records, segment donors, and draft emails.
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Migrating 100k+ users threatened to crush support teams. AI agents now handle the full switch, validating and updating plans instantly.
Drafting grant proposals took hours, limiting new outreach. Now, AI generates tailored drafts so staff can focus on the narrative.
Manual grading bottlenecked 60-student classes. Claude now evaluates handwritten photos and generates personalized, bilingual feedback.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Two staff manually routed urgent goods. An AI agent now automates matching for 10k+ partners, distributing relief 3x faster.
A nonprofit organization that has distributed over $18 billion in essential goods to more than 100 million people, coordinating a network of tens of thousands of nonprofit partners.
Only two employees were responsible for manually matching urgent disaster donations across tens of thousands of partners, requiring individual...
“The matching agent does what we intentionally built it for, but we didn’t realize there was so much more the agent was immediately able to answer. We didn’t have to build anything else out. It’s like magic, showing us things we hadn’t even thought about.”
Product donation platform connecting corporate surplus with nonprofits and charities.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
Good360's Donation routing is part of this use case:
Related implementations across industries and use cases
Manual reviews took 8 weeks. AI agents now score matches on shared values and longevity, projected to cut wait times by 50%.
Field techs relied on pen and paper. Now, an AI agent processes unified data to deliver real-time agricultural guidance to remote farmers.
Fragmented CRM data and manual spreadsheets bottlenecked a lean team. Now, staff use AI to clean records, segment donors, and draft emails.
Refunds meant manual checks across systems. Now, AI agents verify eligibility and execute transactions instantly.
Migrating 100k+ users threatened to crush support teams. AI agents now handle the full switch, validating and updating plans instantly.
Drafting grant proposals took hours, limiting new outreach. Now, AI generates tailored drafts so staff can focus on the narrative.
Manual grading bottlenecked 60-student classes. Claude now evaluates handwritten photos and generates personalized, bilingual feedback.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.