How to integrate AI into your business without losing your team
Most AI rollouts fail the same way. A leader listens to a podcast, buys everyone a ChatGPT subscription, and tells the team to figure it out. Evan Ryan calls this "a solution in search of a problem," and he's watched it stall inside hundreds of companies. The fix isn't a better tool. It's a clearer vision. "If we can do a better job at outlining that vision and how every group needs to transform in order to meet that vision, then naturally everybody finds all the ways to use AI and automation," Evan told Ben. The future has to feel more exciting than the present before anyone will voluntarily let go of the present.
The four-step AI integration formula for small teams
Evan's formula is deceptively simple. First, write down the clearest possible version of your company's future, not just revenue targets but the implications of hitting them. Second, list every obstacle standing between now and that future. Third, put a name next to each obstacle: who in your organization is responsible for helping you clear it? Fourth, write down everything that person does that they hate, and start automating that. "Where you find yourself is with a problem called my A players are underutilized, searching for a solution, which might be AI." That sequence matters. You're not handing people a tool and hoping they use it. You're removing the friction that keeps your best people stuck in the present.
Why people protect repetitive work and what to do about it
Evan describes a character he calls Joe. Joe does a task well, but when you ask him to document it, about 10 percent of the steps come out as "I don't really know, it just comes from experience." That 10 percent is fairy dust, the invisible moat Joe has built around his role to feel irreplaceable. "That is a leadership problem more than it is a Joe problem, from my experience." Joe isn't being malicious. He just hasn't been shown a future that's more compelling than the security of being the only one who knows how to do the thing. Show him that future and the fairy dust disappears on its own.
The easiest AI wins hiding in plain sight
Before any workflow automation, Evan points to one change that costs nothing and recovers three to five hours a week per person: stop using Google for everyday questions and start using ChatGPT or Perplexity. "You'll probably save three, four, five hours a week. Just full stop done." The search experience on Google has degraded slowly enough that most people don't notice how much time they spend clicking, reading irrelevant content, and clicking back. An AI search tool reads twenty sources and hands you the answer. Multiply the time saved by 52 weeks and you've recovered a month and a half of labor without touching a single internal process.
AI misconceptions that slow businesses down
The two most damaging myths Evan encounters are that AI disruption is sudden and that a great demo means a ready product. On the first: "Netflix and Blockbuster didn't exist at the same time for a period of time", and Uber spent hundreds of millions fighting taxi lobbies before a single ride was taken. Technology change is fast and gradual at the same time. On the second: Evan's team tested eight deep-fake video platforms for a client and every demo looked polished. In production, none of them quite cleared the uncanny valley. The standard decision-making you developed for mobile apps and websites still applies. Just because something has AI next to its name doesn't mean it's ready for your use case.
What three and a half years of digital nomad life teaches you about productivity
Evan has been living out of Airbnbs across six continents with his fiancée since 2021. The productivity insight that surprised him most: he works less when he's five to seven hours ahead of Eastern time, and he gets more done. "When I have four or five hours in the morning when America is asleep, I am so productive that I run out of things to do that day." The absence of Slack pings and Teams notifications isn't a bug of working abroad. It's a feature worth engineering at home. His practical advice for anyone who can't go nomad: spend two weeks working only from a laptop bag, digitize everything you reach for, and do one full day of work from your phone. If it works, you're ready for anywhere.
