According to Alain Moutou, the chief operating officer of the CAMH Foundation, the most valuable aspect of AI was the ability to personalize donor communication to better target specific audiences and improve fundraising.

There's always pressure to do more with less, but we've been intentional about not looking at AI purely through the lens of efficiency.

Instead, we're asking, "Where can AI actually add meaningful value to our work?" To do that, we've focused on identifying a small number of AI use cases that we can go deep on rather than experimenting everywhere all at once.

For each use case, we try to evaluate it through a value chain lens by asking a few key questions.

What's the problem we're trying to solve? What data do we have that suggests AI can help? Are there credible AI solutions available that we could adopt? What outputs can AI generate that would create value for us? And then what workflow changes and business outcomes would we expect to see if we implemented AI? One strong example of this for us was around our donor content development.

Our team produces a lot of reports, proposals, and donor stories, and it's quite a labor-intensive process.

It's, can be very time-consuming to adapt that content for different audiences.

We need to execute fast.