Lapsed donors went cold by default — the manual pull took hours the team didn't have. Que surfaces them weekly; one 7-year gap yielded $15K.
A Miami-Dade nonprofit with 33 years of donor history and more than 22,000 contacts, running grantmaking, advocacy, and original data research programs with a small development team.
Identifying lapsed donors required a chain of manual steps: pull a report, work backward year by year, list donors who stopped giving, then pull...
“Analysis is important, but you make decisions based on data, on numbers, on metrics, in combination with what the community tells you what they need. That is precisely what The Women’s Fund does.”
Advocacy and grantmaking organization for women and girls in Miami-Dade.
Social good software company providing fundraising, advocacy, program management, and corporate social responsibility solutions for nonprofits.
The Women's Fund Miami-Dade's Donor research is part of this use case:
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Lapsed donors went cold by default — the manual pull took hours the team didn't have. Que surfaces them weekly; one 7-year gap yielded $15K.
A Miami-Dade nonprofit with 33 years of donor history and more than 22,000 contacts, running grantmaking, advocacy, and original data research programs with a small development team.
Identifying lapsed donors required a chain of manual steps: pull a report, work backward year by year, list donors who stopped giving, then pull...
“Analysis is important, but you make decisions based on data, on numbers, on metrics, in combination with what the community tells you what they need. That is precisely what The Women’s Fund does.”
Advocacy and grantmaking organization for women and girls in Miami-Dade.
Social good software company providing fundraising, advocacy, program management, and corporate social responsibility solutions for nonprofits.
The Women's Fund Miami-Dade's Donor research is part of this use case:
Related implementations across industries and use cases
A new fundraiser inherited a dormant portfolio. Using AI to prioritize targets and draft tailored emails, he revived lapsed relationships.
Four annual campaigns, each hand-merged from a spreadsheet. Que now segments, drafts, and benchmarks—one founder runs it all.
Fragmented CRM data and manual spreadsheets bottlenecked a lean team. Now, staff use AI to clean records, segment donors, and draft emails.
Staff spent hours manually scanning transcripts. Agents now monitor feeds and update sales docs before the team logs on.
Engineers spent months pulling reports from siloed data. Now, an AI assistant lets clinicians instantly flag high-risk patients via chat.
Scared patients chased cures through forums no one had vetted. Sage answers only from the Foundation's reviewed library — or declines.
Each worker negotiates alone — no HR, no coworkers. Ask Aya turns the movement's collective wisdom into guidance she can hold in her hand.
Advisers were bottlenecked by manual market scanning and data validation. Now, an AI agent reviews 1,500+ signals to deliver vetted leads.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.