We raised $630,000 last year. We have 1.5 employees.
That math shouldn’t add up. But it does.
Most nonprofits grow by adding people, more staff, more layers, more cost.
We made a different bet.
We invested in systems instead of headcount.
Three years ago, Level Up had 10 scholars. Today we have 30. Revenue is up 38%.
We scaled the mission without scaling the overhead.
And we did it with AI.
This is a stewardship story.
At Level Up Cincinnati, we support first-generation college students from low income households. We match them with dedicated coaches. We run events, student programming, write grants, build technology, manage donor relations, handle communications, produce financial reports, and publish an impact report our donors actually read.
With a team of one and a half.
Not because we’re grinding ourselves into dust. Because we built systems that handle the work that used to eat our time, so we can spend that time on the work that actually matters. The relationships, the students, the mission.
Here's what that looks like in practice.
I sat down recently and mapped out everywhere AI touches our operations. The list came to 40 use cases.
Not hypothetical. Not “we’re planning to.” Already running.
Things we built once that would have cost over $117,000 the traditional way: A custom mobile app, full website, Salesforce CRM setup (with custom dashboards), legal documents, brand guidelines, onboarding automations, coach training materials, and strategic plans.
Things that save us over $53,000 every year: Grant writing, financial reporting, email marketing, content across every channel, meeting notes, donor prep, coach matching, quality control on every communication that leaves the organization.
Year 1 total value: over $170,000.
That’s not money we pocketed. That’s money we didn’t spend on overhead.
Which means it went exactly where our donors want it to go: to scholarships, programming, and the relationships that change our students’ lives.
The habit that changed everything.
I didn’t wake up one day and decide to become an AI-powered nonprofit.
It started small - drafting an email, cleaning up a document, summarizing meeting notes. Nothing revolutionary.
But I made a habit of it. Every time a new task hit my desk, the first question became: Can AI help with this? Most of the time, the answer was yes.
And here’s the thing about habits: they compound.
What started as saving 20 minutes on an email turned into building an entire mobile app. What started as cleaning up a grant draft turned into replacing a $15,000 annual consulting contract.
The progression wasn’t dramatic. It was consistent. Consistency is the part most people miss when they think about AI.
"But what about the human element?"
Fair question. Here’s my honest answer: it’s a non-factor.
AI handles the backend - the systems, the drafting, the formatting, the data crunching, the process automation. The stuff that used to bury us.
We handle the relationships. The coaching conversations. The check-ins with students at 10pm, when they’re stressed about midterms. The donor meetings. The moments that actually change someone’s trajectory.
We don’t get caught in the weeds anymore - we’re well above them. We see the whole vision, and we win because of that.
When you’re not drowning in admin work, you actually have time to show up for people.
Here’s what the rest of this series looks like.
We used to pay $15,000 a year for a grant writing consultant. We don’t anymore.
The app our scholars use every day was built with AI tools. It cost us nothing to develop.
Salesforce is free for nonprofits. Configuring and maintaining it is where most organizations spend $20,000 - or give up entirely. We took control of ours.
Our annual impact report used to take weeks. Now it takes hours. It’s also the best one we’ve ever produced.
Our entire onboarding pipeline, from application to first coaching session, runs on automations we built ourselves.
Every post in this series will include real numbers, real workflows, and honest reflections on what worked and what didn’t.
Why I’m writing this.
I believe every small nonprofit in this country could be doing some version of what we’re doing. The tools are free or close to it. The learning curve is real but manageable. The payoff is measurable.
But most organizations haven’t started. Some think it’s too complicated, some think it’s not for them, some are just too busy surviving to try something new.
I get it. We were there too.
So if you’re running a nonprofit, and you’re curious where to start, go back to the habit I mentioned earlier. One question, applied consistently: Can AI help with this?
I’m opening up the entire playbook. Follow along if you want to see how it works.
This is the first post in The $0 Department: What Happens When a Nonprofit Stops Hiring and Starts Building. Subscribe to follow the full series.
Level Up Cincinnati empowers first-generation college students through mentorship, scholarships, and professional development. 100% of donations go directly to student programming. Learn more at levelupcincinnati.org.