Ruben Davoli Tested His AI Systems on His Own Business Before Building BeaverMind

Photo Credit: May Noppharat (instagram.com/may_noppharat)

Ruben Davoli starts a lot of conversations with a question nobody else in his industry wants to ask: how many of the people selling AI services to businesses have actually run one?

His answer: very few. Ruben launched BeaverMind, an AI growth partner agency for 7- and 8-figure coaching and consulting businesses, in 2025 and has built his practice around the premise that most companies selling AI services to businesses have never actually run one. “The weakness of the case studies these so-called agencies show, when they show any at all, is shocking,” he wrote in a September 2026 post on his site.”Almost nobody is putting their hands on real businesses. Teaching pays better in the short term, so that’s what most of them do.”

His counter is not theoretical. The first systems he sold to clients, he had already run in his own business.

Between 2020 and 2025, Davoli co-founded an online coaching and education business and scaled it to 3 million dollars. The AI experiments started in the final year, when he decided to stop running processes by hand and rebuild with AI automation.

One experiment was an email system he built in an afternoon. It brought in more than $80,000 in a single month, he says. A content pipeline that had previously cost around $3,000 and required roughly 40 hours of team time came down to $60 and six hours after the same rebuild, according to Davoli.

Then came the voice agent. He pointed an AI caller named Emma at a list of 3,000 dormant leads, contacts nobody had reached in months. Emma made 11,000 calls and booked 22 meetings. Two closed. “I had never seen software work a cold list the way a human would, and actually book,” he wrote on his story page. By his account, those two deals brought in $6,800. That number was not the point.

The company sold in 2025. Those experiments did not just demonstrate that the systems worked. They gave him specific numbers to stand behind when he took the work to clients.

The path to building a business he could run those experiments on went through three continents. Ruben grew up in Verona, Italy, in a household where nobody had run a company before him. At 17, he turned his birthday into a ticketed nightclub event and cleared around 2,000 euros in a single night, by his own account. Over the following years he produced events drawing two and three thousand people across northern Italy.

When the economy contracted and the work dried up, he walked the Camino de Santiago, then bought a one-way ticket to Sydney in 2013. He spent six years working in hospitality there, building toward the work visa that would lead to permanent residency. He was two months from getting it when the business sponsoring his visa shut down without warning. He had 90 days to find a fix or leave the country.

He moved to Thailand on March 7, 2020, the day Italy closed its borders. He still lives there.

BeaverMind works with coaching and consulting businesses, primarily those running at seven or eight figures in revenue. The approach is to find where a business is losing time or money and build one AI system to address that, rather than presenting a general toolkit and working outward.

A 2026 engagement with MovesMethod, an eight-figure coaching company, illustrates how it works in practice. Before BeaverMind came in, MovesMethod ran quality control through a pod structure: one leader for every 10 or 12 coaches, reviewing calls and writing feedback reports by hand. According to Ben McLellan, the company’s client success director, the setup was costing around $15,000 a month in labor and was not producing the results leadership wanted as the team grew.

BeaverMind built a system that scored every coaching call automatically and routed a report to each coach. McLellan says his team saved 40 man-hours per week on quality control. He also reports that churn fell from 5% to 2% during the year. “A 3% shift in churn at their scale works out to roughly $40,000 to $60,000 a month in saved or recouped revenue,” Davoli wrote in a September 2026 case study on the project.

The resign process was rebuilt as well, and the renewal documents that used to take the team around 75 hours a month are now generated automatically. McLellan reports that resign revenue doubled after the change. These are figures from MovesMethod’s own experience.

Davoli declines work outside coaching and consulting. The specialization keeps each project from starting over from scratch, and it is also what makes it possible to push back when a proposed build would be premature or misaligned with what the business actually needs. Among the questions he tells founders to ask any AI consultant: do you have a track record of problem solving in a real business?

He has been on stage at Nomad Summit Chiang Mai, Da Nang Nomad Fest, and Taiwan Digital Fest in 2026, doing live builds with real numbers for rooms of founders. The full story of what he built and sold is on his site.

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