We Built a Swarm Before We Sold One

A lot of agencies are selling AI transformation right now. We wanted to know what it actually takes before we sold anything.

So we built our own product first.

DonorSignal is a Queen City AI product — a nonprofit fundraising intelligence platform that runs on an autonomous agent swarm we designed and operate ourselves. No SDR team. No manual research. No one sitting in a CRM moving leads from one column to the next. Eight agents running every weekday morning, finding and qualifying prospects, writing personalized outreach, tracking engagement, and generating content — fully unattended.

We built it because we needed to prove the architecture in production, on real data, with real business stakes. It works. Now we build it for other businesses.

What a swarm actually is

Not a chatbot. Not a workflow tool. Not another SaaS platform with a 30-day trial.

A swarm is a set of AI agents — each with a defined job — that run in coordination, around the clock, on your business logic. They pass signals to each other, learn from outcomes, and operate without anyone managing them day to day.

For DonorSignal, one agent scouts nonprofit databases every morning. Another scores every lead and automatically recalibrates its own weights based on what actually converts. A third finds decision-makers at each organization, scrapes their website, and extracts the specific problems they are dealing with in their own words. A fourth writes a personalized three-touch email sequence for each one and sends it. A fifth tracks opens, clicks, and replies and feeds that back into scoring. Two more handle content and thought leadership. One orchestrates the whole thing and posts status updates throughout the day.

This is running right now, on our infrastructure, while we do other work.

It lives where you already work

The interface is not a web app you have to remember to check. It runs through wherever your team already communicates.

We run DonorSignal's swarm through Discord. Depending on your setup and preference, yours can run through Slack, Teams, iMessage, or WhatsApp. You talk to it the way you would talk to a sharp colleague.

What are the top prospects this week? Draft a follow-up for anyone who opened twice but did not click. How is the pipeline looking?

It answers in plain language, takes action, and reports back.

There is no off-the-shelf version

We are not selling you a product with your logo on it.

We sit down with you and map your actual workflow — where your leads come from, how you currently nurture them, what your team's voice sounds like, what your growth goals are. Then we build the swarm around that. The agents connect to your data, learn your patterns, and run in your environment.

Some businesses need a sales pipeline swarm. Others need a content machine, a competitive intelligence engine, a customer research loop, or an operations layer that keeps things from falling through the cracks. The architecture is the same. The build is entirely yours.

We proved it on ourselves first

DonorSignal went from zero to a 54% open rate across thousands of qualified prospects, with no dedicated headcount on top of funnel. We know what it takes to get a swarm into production and keep it running because we do it every day for our own business.

That is the difference between an agency that talks about agents and one that runs them.

If you want to stop doing by hand what a swarm could do while you sleep, let us know what you are working on.

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Frequently Asked Questions

What is an AI agent swarm?

A swarm is a set of AI agents, each with one defined job, that run in coordination around the clock on your business logic. They pass signals to each other, learn from outcomes, and operate without anyone managing them day to day. It is not a chatbot, not a workflow tool, and not another SaaS platform. For DonorSignal, eight agents run every weekday morning: one scouts prospects, one scores leads, one finds and researches decision-makers, one writes and sends personalized outreach, one tracks engagement, two handle content, and one orchestrates the whole thing.

Why did Queen City AI build its own swarm before selling one?

We wanted to know what it actually takes to get an agent swarm into production before we offered to build anyone else's. So we built DonorSignal, our own nonprofit fundraising intelligence platform, and ran it on real data with real business stakes. Proving the architecture on ourselves first is the difference between an agency that talks about agents and one that runs them every day.

What is dogfooding and why does it matter for AI consulting?

Dogfooding means using your own product in production before recommending it to clients. It matters because it forces you to solve the unglamorous parts: keeping agents running unattended, handling real data, recovering from failures, and operating at real volume. We know what it takes to keep a swarm in production because we do it every day for our own business, not because we read about it.

Can a swarm run inside Slack, Teams, or other tools my team already uses?

Yes. The interface is not a separate web app you have to remember to check. The swarm runs through wherever your team already communicates. We run DonorSignal's swarm through Discord, and depending on your setup, yours can run through Slack, Teams, iMessage, or WhatsApp. You talk to it the way you would talk to a sharp colleague, and it answers in plain language, takes action, and reports back.

Is there an off-the-shelf version of the swarm I can buy?

No. We do not sell a packaged product with your logo on it. We sit down with you and map your actual workflow, where your leads come from, how you nurture them, what your team's voice sounds like, and what your growth goals are. Then we build the swarm around that. The architecture is the same across builds, but the agents connect to your data, learn your patterns, and run in your environment.

What kinds of work can an agent swarm handle?

Some businesses need a sales pipeline swarm. Others need a content machine, a competitive intelligence engine, a customer research loop, or an operations layer that keeps things from falling through the cracks. The underlying architecture is the same; the build is entirely yours. If you are doing something by hand that a swarm could do while you sleep, it is a candidate.

Related Reading

• Businesses Don't Need Another AI Tool. They Need a Better Way to Work. — Most companies do not need a sweeping AI strategy to begin. They need one workflow that gets better. Here is how to find it, and where Claude actually fits.
• The Goal Isn't to Need Fewer People. It's to Afford More of Them. — Most AI conversations start with efficiency and stop there. The real outcome is a business that grows fast enough that your only problem is keeping up.
• Why We Spend Four Hours Breaking Down Your Business Before We Build Anything — Discovery is not a sales meeting. It is the session where we map every workflow, find the bottleneck, and design the roadmap — before a single line of code gets written.

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