The service was never expensive to produce. The delivery was.

The barrier to serving underserved markets was never the service itself. It was the cost of the human infrastructure required to deliver it. Agentification has collapsed that cost.

Every business service that incumbents charge enterprise rates for shares a common structure: the insight or output is information-driven, and the people producing it are the expensive part. Regulatory monitoring, market analysis, financial reporting, compliance tracking: these are tasks that require access, processing, synthesis, and delivery. Agents can do all of that. What they replace is not the service. It is the human team that was the only available means of delivering it.

Agentification is the specific mechanism. Not AI as a general capability, but the ability to deploy agent networks that operate services autonomously (ingesting data, enriching it, acting on it, monitoring outcomes) without a human workforce scaled to the number of customers being served. The cost of running a service no longer grows with the number of buyers. That is a structural change, not an efficiency gain.

The markets this creates are large and largely untouched. Below every enterprise service tier sits a much larger group of buyers who needed the same access and could not get it. Not because the insight was unavailable. Because no one could deliver it to them at a price that made commercial sense. The minimum contract size for a human-delivered service has to cover the cost of the humans. Remove the humans, and the floor drops.

That collapse in delivery cost is also a collapse in the risk of entering those markets. A human-scaled business serving small buyers needs volume to cover its fixed cost base. An agent-operated business has almost no variable cost tied to customer count. It can serve a hundred buyers or a thousand on the same infrastructure. The economics of targeting fragmented, underserved markets have changed entirely.

"An agent-operated business can serve a hundred buyers or a thousand on the same infrastructure. The risk of entering underserved markets has collapsed."

TheSprawl.ai is a portfolio of B2B software companies built on this bet. Each company targets a service class where incumbents price smaller buyers out. Each is written as a specification (offers, buyers, workflows, constraints) and operated by agent networks rather than human teams. The spec is the logic. The agent is the operator. Scale is achieved by expanding agent capacity, not by hiring.

The data layer is open. 57,000 sources from thousands of publishers: government registries, regulatory databases, public filings, statistical releases. The information infrastructure that incumbents have spent years assembling is largely available without a licensing agreement. That removes another cost floor that kept smaller operators out of these markets.

The portfolio is also proof of a broader thesis. One founder. Agent infrastructure. No headcount.

If agentification collapses the cost of operating a service business, it collapses the cost of starting one. The minimum viable company is approaching one person. Not as an exception, but as a structural consequence of what agents make possible. Every portfolio company runs autonomously, is built to generate returns, and exists to demonstrate what that looks like in practice: what solo-entrepreneurship becomes when the constraint of human scale is removed.