AI Donor Summaries for Foundations and Corporations

A few months ago, we launched our AI Donor Summaries feature for individual CharityCAN prospect profiles. Today, we’re expanding this exciting beta feature so that our users can create donor summaries for foundations and corporations as well!

One of the jobs prospect researchers are tasked with is compiling information on a prospective donor. Valueable information like past donations, areas of support, a quick biography, and more are found and compiled into a report that might be used for a prospect review meeting.

With our AI donor summaries, CharityCAN can now create these types of quick reports for each of the types of donors in our database with the click of a button. We take all of the real, verifiable information in our database of Canadian donors and ask a large language model to summarize that data into a few easily digestible paragraphs.

This means organizations and fundraisers without dedicated prospect researchers can use CharityCAN to help them quickly get a glimpse of a new donor, or enable a prospect researcher to quickly add a summary to a note in a donor database to justify further review.

These new donor summaries lend themselves so well to donor database use cases that we’ve also created a new add-in for our integrations with Blackbaud Rasier’s Edge NXT. With only one click you can create a summary of a constituent’s CharityCAN data and import it directly into your database.

To get started with any of these features, please reach out to us for a demo!

You can also check out these summaries in action over on our YouTube page!

How Accurate is CharityCAN’s AI Profile Summary Tool?

Donor Prospect Profiles contain a lot of data – donation records, relationship maps, real estate info, the list goes on – and typically, that’s a good thing. The more data we have, the better we are able to qualify (or disqualify) a prospect. 

That said, sometimes a high level summary will do. 

To help our users put together profile summaries, we decided to build an AI Profile Summary tool. Large Language Models (LLMs) are fantastic at summarizing large amounts of data. And LLMs are AI tech that is here now – not something that may be transformative in the future.

The video below is quick examination of the accuracy of CharityCAN’s AI Profile Summary tool: