If you lead a mission-driven organization, you probably already know you cannot ignore AI. Every week brings a new tool, a new headline, and someone on your board or staff asking what your plan is.
You may also have no idea what to do about it yet. You do not want to bet the mission on something you do not fully understand. You also do not want to be the leader who waited too long.
If that is where you are, you are not behind. You are paying attention, and that is the right place to start.
The either/or trap
When I talk with leaders of missional organizations about AI, the conversation usually lands in one of two places. Some want to hand it everything. Others want to keep it out entirely, because their work is about people, not machines.
The fear behind that second instinct is real, and I do not want to wave it away. Most AI is sold on efficiency, and efficiency often means fewer people. When a tool promises to do in seconds what a staff member does in a week, it is fair to ask whose role is next. It is also fair to ask what gets lost when the person who knew the story behind the numbers is no longer in the room.
Underneath both instincts is something we are all feeling right now: the unknown. AI is changing faster than any of us can keep up with, and none of us knows exactly where it is headed. When things move this fast and feel this uncertain, our brains do what they were built to do. They pick a side. All in or all out feels safer than holding a question open.
But picking a side is a reaction, not a strategy. Both instincts come from a good place, and both rest on the same assumption: that we have to choose between using AI and protecting the human element.
I believe there is a different and better way to see what is happening. In my 20 years of working with mission-driven organizations and their data, the healthiest teams have never treated it as data or discernment. They hold both. Both/and thinking does not ignore the fear. It refuses to let the fear make the choice for us.
What AI is good at, and what it is not
AI is very good at finding. It can search years of donor, program, and volunteer records faster than any person on your staff. It does not get tired of the fourth version of the same question.
What it cannot do is decide what matters. It does not know that a drop in donors lines up with a field director leaving, or that a longtime supporter paused her gift because she lost her job. It does not sit across the table from a partner, and it does not pick up the phone.
That is not a weakness to work around. It is the right division of labor. Let the tool do the finding, so your people have more time for the knowing.
Lumen holds space for both
That tension is the reason we built Lumen, a new tool from Data for Good, the company I co-founded with Andrew Ferreira. Lumen lets leaders ask questions of their data in plain language and get answers back, without writing a query or waiting in line for a report. Lumen brings the human and AI together. It was designed from the start to bring out the best in both, so that using AI would never mean removing the human.
We did not build it to replace the person asking. We built it to serve them. Lumen only works well because people shape it in two ways.
First, people give it context. Lumen does not know what your organization means by an active donor, which programs count toward people served, or that two of your regions merged two years ago. Your team tells it. Those definitions come from your leaders, and Lumen answers within them.
Second, people set the boundaries. Your team decides what data Lumen can see and what it cannot. If case notes on the people you serve or major donor records should stay off-limits, they stay off-limits. The tool does not decide what it gets to know. You do.
The leader brings the question, the context, and the guardrails. Lumen does the digging. Each brings out the best in the other. Lumen gives people back the time and clarity to lead, and people give Lumen the wisdom and judgment it could never have on its own. That is what both/and looks like in practice.
Lumen is now open to new organizations at lumen.dataforgood.com. Reach out and I’ll walk you through it.
A question for your leadership team
Ask each person on your team to write down one question about your people they wish they could answer this month. Then, for each question, split it in two: the part a tool could find, and the part only your team can decide.
You will likely find the second list is where your best leaders want to spend their time. Good stewardship means giving them the room to do it.
