Scattered systems buried a two-person team in manual reporting. Now, AI instantly profiles top donors to guide high-touch outreach.
A not-for-profit hospice provider relies entirely on fundraising from approximately 1,500 donors to deliver free end-of-life care across a 50-mile radius.
A two-person philanthropy team struggled with a fragmented tech stack containing a CRM, two credit card processors, and separate platforms for...
“When it comes to the data we have to report to the board, it becomes a very difficult process when you have a very small team and around 1,500 donors. That’s a lot for a two-person team.”
Non-profit hospice and palliative care provider serving West Michigan.
Social good software company providing fundraising, advocacy, program management, and corporate social responsibility solutions for nonprofits.
Emmanuel Hospice's Donor management is part of this use case:
Related implementations across industries and use cases
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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A new fundraiser inherited a dormant portfolio. Using AI to prioritize targets and draft tailored emails, he revived lapsed relationships.
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Scattered systems buried a two-person team in manual reporting. Now, AI instantly profiles top donors to guide high-touch outreach.
A not-for-profit hospice provider relies entirely on fundraising from approximately 1,500 donors to deliver free end-of-life care across a 50-mile radius.
A two-person philanthropy team struggled with a fragmented tech stack containing a CRM, two credit card processors, and separate platforms for...
“When it comes to the data we have to report to the board, it becomes a very difficult process when you have a very small team and around 1,500 donors. That’s a lot for a two-person team.”
Non-profit hospice and palliative care provider serving West Michigan.
Social good software company providing fundraising, advocacy, program management, and corporate social responsibility solutions for nonprofits.
Emmanuel Hospice's Donor management is part of this use case:
Related implementations across industries and use cases
Fragmented CRM data and manual spreadsheets bottlenecked a lean team. Now, staff use AI to clean records, segment donors, and draft emails.
A solo director couldn't analyze donors for a $1M match. AI prioritized high-capacity prospects to raise $2.25M.
A new fundraiser inherited a dormant portfolio. Using AI to prioritize targets and draft tailored emails, he revived lapsed relationships.
Siloed data capped Recharge at one quarterly campaign. AI now unifies usage signals to trigger eight personalized campaigns at once.
Sales reps scoured Amazon for leads, often ending the day with none. Now, AI pinpoints sellers with removable bad reviews and drafts emails.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Staff missed the 30% of leads arriving after hours. AI agents now field 24/7 chats and book tours, prioritizing ready buyers.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.