How Ruben Davoli and BeaverMind Fixed a Quality Control Problem for MovesMethod

Must read

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

For every ten coaches at MovesMethod, there was a pod leader. That leader spent their days reviewing calls, writing feedback, and sitting with individual coaches to address what they needed to improve. When the company grew, it added coaches. Each new batch of ten required a new leader.

The math was orderly. The cost was not.

Ben McLellan, the company’s client success director, put it plainly: “It was very inefficient. And two, it was also not very effective. We were spending a lot on a leadership setup in the coaching department that wasn’t really having the impact we wanted.” That structure was costing MovesMethod roughly $15,000 a month in pod leader labor. There was no version of scaling the team that didn’t also scale the cost of managing it.

Ruben Davoli had built and sold a coaching business before he took on MovesMethod as a client. Italian-born and raised in Verona, he moved to Sydney in 2013 and arrived in Thailand in March 2020, the week Italy locked down. That detail matters. From a studio apartment in Bangkok, he and a partner spent five years building an online coaching and education company, managing the same pressures of headcount and quality control that eventually brought MovesMethod to his door. They grew it to $3 million and sold it. In 2025, Davoli launched BeaverMind, an AI growth partner for seven- and eight-figure coaching and consulting companies. When he takes on a new client, the first job is identifying where the business is losing money or hours. One system gets built to address it.

When MovesMethod came in, the pod structure was where that work started.

What BeaverMind installed was a four-part call quality control system. Every coaching call now gets transcribed automatically. From there it is scored against a rubric built for that specific call type: kickoff call, regular coaching session, strategic review, resign call. Each category needed its own criteria, developed in close collaboration between the BeaverMind team and McLellan’s group across multiple build phases. A report goes directly to each coach. A dashboard gives leadership visibility across every call the system has evaluated.

Nobody has to listen to calls by hand anymore. Nobody writes the reports.

MovesMethod says QC now takes 40 fewer man-hours each week. In dollar terms, that is roughly $15,000 a month in labor that was previously going to pod leaders, and every additional ten coaches the company adds no longer requires a new leader to manage them. These are the figures one company reports from one engagement. They are not representative of what another business would see.

The churn number carries a different weight. At the start of the year, MovesMethod’s monthly churn rate was around 5%. By the end of August it was down to 2%. At their scale, McLellan says that 3-percentage-point shift corresponds to between $40,000 and $60,000 a month in retained or recouped revenue. The logic is simple enough: coaches who get consistent feedback early correct problems before clients leave. The numbers, by McLellan’s account, bore that out.

BeaverMind also rebuilt the resign process. Each renewal document had previously been produced by hand. That took around 75 hours of administrative work every month. Revenue from client resigns has doubled since the automated process was installed, according to McLellan.

Leaders freed from listening to individual calls are now using the dashboard to run analysis they previously had no time for. Questions that used to take weeks of manual digging can now be answered from data the system already holds.

“Leadership is no longer a bottleneck,” McLellan said. “The coaches are loving it. When you’re doing four, five, six calls a day, you can lose perspective on what you need to improve.”

For Davoli, the MovesMethod work reflects a position he holds consistently: AI can make a working process cheaper and faster, but it cannot rescue one that is broken. His threshold question before automating anything is whether a human could be trained to do the same task reliably. If the answer is no, he says the automation will fail for exactly the same reasons the manual version did.

That reasoning also shapes who BeaverMind takes as a client. In his published writing, Davoli describes turning down businesses outside coaching and consulting. Building for a new vertical each time means developing process knowledge from zero with each project. The client absorbs that cost.

McLellan’s advice to anyone evaluating an AI vendor was specific: “Let’s do this first project together. Let’s date before we marry.”

Davoli spent much of 2026 presenting case studies like this one on stage at Nomad Summit Chiang Mai, Da Nang Nomad Fest, and Taiwan Digital Fest. The full MovesMethod build is documented on his site, in a detailed case study that walks through what was built, what changed, and what the numbers showed.

- Advertisement -spot_img

More articles

- Advertisement -spot_img

Latest article