The Three Things We Won't Compromise On

Every nonprofit leader I talk to is being asked to make a decision about AI right now.

The questions are real. Which tools? Which vendors? What gets built in-house and what gets bought? Who gets the data? Who decides? And underneath all of that, the question nobody is supposed to ask out loud. Am I about to make a mistake my organization can't recover from?

Nonprofits in the US raised $592.5 billion last year. 85.6% of organizations are now exploring AI. Only 24% have any kind of strategy.

What the sector needs is a way to choose for the long term. The technology is moving faster than any product roadmap can match. The features your AI partner ships today will look different in two months. The principles they operate on won't change that way. Pick the partner whose principles you can live with.

I can't write a framework for every nonprofit. But I can write ours down.

Three principles. Not seven. The questions we return to when we decide what to build, and what to say no to. The lines I want our team held to, publicly, as we build what comes next.

If we ever break them, call us on it.

Every software company building AI right now is facing three temptations. We have to refuse all three.

• The temptation to chase clever, because the press is watching.
• The temptation to remove the human, because that's what the industry has started calling innovation.
• The temptation to monetize what customers trust us with, because that's where the easy revenue lives.

These three principles are our answer to those three temptations.

1. Mission is the metric.

The temptation here is the smart idea.

Every week someone walks into a meeting at Bloomerang with a feature pitch that's clever, well-built, and would get a write-up in the trade press. Most of those ideas we don't build.

Because every feature at Bloomerang has to clear one bar. Does this help a nonprofit raise more money, retain more supporters, or serve more people?

If the answer isn't clear, we don't build it.

That sounds obvious. It isn't. The hardest moments in this job are the ones where a smart idea fails that test and I have to say no anyway.

The principle applies to every nonprofit we serve. The executive director with one development coordinator who runs everything alone. The community food bank with a volunteer board and a paid staff of three. The enterprise team with a dedicated analyst. They all deserve the same intelligence the largest development operations have leaned on for decades. Not the downmarket version. The real thing.

Technology should be the great equalizer. It should lighten the load on people doing the most important work in their communities. Never add to it.

2. The relationship stays human.

The temptation here is autonomy.

The current industry vocabulary is hands-free. Set-it-and-forget-it. Watch the software send the email, schedule the follow-up, log the gift, write the thank-you note. The fundraiser sits in the corner of the demo, somewhere off-camera.

The industry calls that intelligence. I'd call it absence.

A donor who has given to the same organization for twenty years is in someone's care. The fundraiser who knows their family. Who remembers their late husband's passion for the arts program. Who called when their mother went into hospice. No algorithm should be the one maintaining that trust.

So we built differently.

Our AI prepares the full picture before every meeting. Giving history, engagement signals, the note someone on your team wrote after the last coffee. Every recommendation comes with its reasoning, in plain language.

Read it. Accept it. Change it. Or ignore it.

Glass box, not black box. The platform shows its work. Your team decides what to do with it.

Our AI prepares and drafts. Your team decides and connects.

Human judgment stays at every moment where the relationship is on the line. Because that's where the relationship belongs.

3. Your data stays yours.

The temptation here is the easy revenue.

There's a quiet pattern in software. The data customers contribute, the patterns of their work, the relationships they've built over years, become a product the vendor monetizes elsewhere. Sold. Packaged. Shared under terms they didn't realize they agreed to.

That's not partnership. That's extraction.

The nonprofit sector cannot afford it. The trust you've earned with your supporters is your hardest-won asset. It took years to build. It can be lost in a single news cycle.

So we wrote a principle to make sure that never happens at Bloomerang.

The patterns. The history. The supporter relationships you've built. They belong to you.

We don't sell your data. We don't share it without your permission. What you contribute to the platform comes back to you as sharper answers, better guidance, stronger supporter relationships.

Not as a data point on someone else's roadmap.

Your data works for you. And only you.

What you can hold us to

Three principles. The three things we will not compromise on as we build what comes next.

The work isn't about replacing the fundraiser. It's about giving back what they've been losing. The report that used to take three hours, done. The data entry that ate up five, gone. The Tuesday morning that could have been a donor call, now actually is one.

That's what AI should be doing in this sector. Not standing in for the work. Clearing the way for it.

The nonprofit sector deserves technology companies that treat AI with discipline, not declarations. Custodians, not vendors.

The principled voice isn't always the loudest one at the start. It's the one that's still trusted at the end.

That's how Bloomerang will keep showing up. Principled. Patient. Useful. And always on the side of your mission.

If we ever break one of these, tell me directly at dfois@bloomerang.com.

Read the full set of Bloomerang’s AI principles here. 

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