The Agency Incubator Model: How to Fund SaaS Products Through Clients Instead of Investors with David Carnes | Ep #904

David Carnes built more than an agency. Over nearly three decades, he turned Arcstone into a launchpad for multiple SaaS companies, internal products, and recurring revenue streams — without outside investors or venture capital. In this episode, he breaks down how he funded software products through client-backed validation, why founder bottlenecks repeatedly reappear as agencies scale, and what it took to finally step out of the operator role after 28 years.

The conversation also explores a critical shift many agencies are avoiding right now: operationalizing AI inside the business. David explains why he created dedicated AI Architect and AI Operator roles, and why agencies that treat AI as infrastructure — not a shortcut — will create the biggest advantage over the next decade.

What You'll Learn

• How to validate and fund SaaS products using existing clients instead of outside investors
• Why “too many plants in one pot” creates operational chaos inside growing agencies
• The hidden ways founders accidentally become the bottleneck again after delegating
• How role evolution changes as you move from Operator to Owner
• Why removing yourself from delivery requires structure, not just hiring
• The difference between an AI Architect and an AI Operator inside an agency
• How to use client investment to create accountability, feedback loops, and faster product adoption
• Why founder growth happens in spirals, not straight lines
• The operational risks of scaling multiple companies without dedicated leadership layers
• How mature agencies are beginning to document prompts, workflows, and AI systems as strategic assets

Key Takeaways

• Founder dependency is rarely solved once. It reappears at every new stage of growth unless structure evolves with the business.
• Revenue growth alone does not move a founder into the Owner role. Removing yourself from the critical path does.
• Agencies can fund internal products through customer-backed validation models instead of sacrificing equity to investors.
• When founders stay involved in every decision, they unintentionally train the organization to rely on them.
• Scaling multiple ventures inside one agency requires separate leadership structures, not shared founder oversight.
• AI implementation inside agencies requires operational ownership, not experimentation without accountability.
• The agencies that benefit most from AI will build internal systems, workflows, and governance around it early.
• Growth becomes dangerous when complexity increases faster than operational clarity.

Are you running multiple things at once and wondering why none of them are moving as fast as they should? Are you still the one every project, every client, and every decision routes through, no matter how many people you have on your team?

Over nearly three decades, today’s featured guest didn’t just run an agency. He turned it into an incubator, spinning up multiple SaaS companies, a mobile app, and an accessibility tool, all funded and validated through a model most founders have never tried. In this episode, he’ll get into how he built products without outside investors, why the bottleneck is always at the top of the bottle, and what it actually took to step out of the operator seat after 28 years in it.

David Carnes is the co-founder of Arcstone, a digital agency based in Minneapolis that has been operating since 1997. Over the course of his career, he has launched multiple companies from inside the agency, including a SaaS platform for associations built as early as 2000, a document management system called Wonderfile that was acquired by Blue Tie in New York, and NC, an accessibility scanning tool built initially for Arcstone's own quality assurance needs. His wife now runs Arcstone as CEO. David currently sits in the CFO seat, operating across all three businesses as an advisor and strategic layer rather than a day-to-day operator.

In this episode, we’ll discuss:

• Creating the structure to run several businesses and not be in the middle of everything

• Why the founder bottleneck is a trap you can learn to avoid

• Understanding the importance of creating dedicated AI roles

Sponsors and Resources

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Funding Products Without Giving Up Equity

One of the most practical lessons owners can take from David is how he funded multiple software products without investors. The model is straightforward: go to existing clients or a relevant group, identify a shared problem, and ask them to collectively fund the build in exchange for lifetime access. For AMO, six or seven associations each kicked in eight thousand dollars. For a later mobile event app, fifteen associations each contributed five thousand. In both cases, David had enough capital to build, immediate users providing real feedback, and zero equity given away.

The reason this works is the same reason the Foot in the Door methodology works inside agency sales. A small, committed financial investment creates accountability on both sides. The customers who fund it show up with feedback because they have skin in the game. The builder ships something real instead of overbuilding in isolation. David was explicit that his own tendency to overcomplicate a product shrinks significantly when real users are in the room from day one.

Too Many Plates, Not Enough Structure

Building multiple companies inside one agency creates a specific kind of chaos. David called it too many plants in one pot. The companies start competing for the same resources, the same attention, and the same management bandwidth. His early answer to this was to stay in the middle of everything, which meant every decision still ran through him.

The shift did not come from a framework or a book. It came from maturity and, eventually, necessity. When his wife stepped into the CEO role at Arcstone and dedicated management teams formed at AMO and NC, David moved into the CFO seat and took on what he called a monster back role, someone who can move across the whole field without being anchored to any single function. That is not a role most founders reach quickly, and he is honest about the fact that he still gets pulled back in when a longtime client or friend asks for something. The trap is familiar: you step in, you mean well, and in doing so, you signal to your team that you do not trust them to handle it.

Founder Bottleneck Is a Pattern, Not a Personality Flaw

David does not pretend he solved the founder bottleneck problem cleanly. In reality, patterns of it showed up repeatedly. You build structure, you step back, something pulls you in, and you disrupt the system you built. David described it as spiral growth rather than linear progress. You see the same lesson again. You handle it a little better. You move on.

What makes the pattern more manageable is having a framework that names it. When you can recognize "this is the trap I have fallen into before," you can course-correct faster. That is exactly the work the Founder Evolution Framework is built to do. Operator, Manager, Architect, CEO, Owner: each stage is a distinct role, not just a job title. Revenue does not move you up the ladder. Removing yourself from the critical path does. David is living proof that even experienced operators with 28 years in the seat have to be intentional about each stage of that progression.

AI: Surf the Wave or Get Pummeled By It

David does not treat AI as a theoretical topic. He attended a ten-thousand-dollar immersive course shortly after Claude introduced persistent context, specifically because he wanted to understand what was actually possible, not just what people were saying about it. His takeaway was concrete enough that he created two dedicated roles inside Arcstone: an AI Architect and an AI Operator.

The distinction is worth understanding. The Architect builds the agents and workflows. The Operator runs them, keeps the human in the loop, and catches the errors. Because AI still makes mistakes, and the founder who knows that firsthand is the one who can train a team to work with it well, not just use it. The agencies that will benefit most are not the ones that hand AI to someone and walk away. They are the ones who build internal capability, document their models and prompts as assets, and treat the technology as a force multiplier on a team that already knows what it is doing.

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