Aug 31, 2026 · 7 min · 5 segments
If you're a development director or ED, you've had this meeting: a consultant or vendor pitches an AI tool that "changed everything" for an organization just like yours. This episode gives you the…
So I want to start by naming something very plainly.
Most AI tool pitches that you'll hear are optimized to be exciting, not to be right for your organization specifically.
That's not necessarily dishonest.
A vendor's job is to show you their best case, but their best case and your actual situation are two different things.
And the burden of telling them apart falls on you, not on the person who's pitching to you.
Remember the number from episode two, 92% of nonprofits are using AI and only 7% of them are seeing real impact from that usage.
A lot of that gap traces directly back to this moment, an exciting pitch, an enthusiastic yes, and no real framework for checking whether the tool actually fit the problem in the first place.
So the goal here isn't cynicism.
It's a consistent set of questions that separates a genuinely good fit from a really good demo.
So I want to start by naming something very plainly.
Most AI tool pitches that you'll hear are optimized to be exciting, not to be right for your organization specifically.
That's not necessarily dishonest.
A vendor's job is to show you their best case, but their best case and your actual situation are two different things.
And the burden of telling them apart falls on you, not on the person who's pitching to you.
Remember the number from episode two, 92% of nonprofits are using AI and only 7% of them are seeing real impact from that usage.
A lot of that gap traces directly back to this moment, an exciting pitch, an enthusiastic yes, and no real framework for checking whether the tool actually fit the problem in the first place.
So the goal here isn't cynicism.
It's a consistent set of questions that separates a genuinely good fit from a really good demo.
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