“How do you know whether an AI agent is genuinely helping your organization?”
It’s a big question. Maybe it seems simple. But as social impact organizations leverage AI in new ways, measuring early success can feel like a mystery.
@Laurene Currie, Responsible AI Research Scientist at Blackbaud, just published a blog to help you navigate that mystery.
Check it out here: From Curiosity to Confidence: A Practical, Human-Led Approach to Understanding AI Agent Success
The first step is defining what success looks like, but that’s not a one-size-fits-all answer. Ultimately, your organization has to decide how the agent should support your staff and which outcomes are meaningful.
Some of our Early Adopter Program customers shared their insights on this subject, and Laurene walks through how they’re defining what success means to them, and why careful, human-led interpretation of the evidence is what helps build trust responsibly over time.
Has your organization struggled to define success for AI agents? Or, have you identified signals that work well for your needs?
I'd love to know how you've approached this in your organization.
