My name’s Connor O’Brien. A year ago, I left my comfortable marketing job to learn everything I can about AI and system automation. I knew it was the future, so I decided to drop everything and go all in.
I gave myself a year. I called it my “year of learning.”
The goal was simple: learn how to bring AI to the recreational boating industry. Specifically, I wanted to solve the problem of lost leads, the ones that slip through when no one’s around to talk to the customer.
And I wanted to do it in a way that supports humans rather than replaces them.
I chose this problem because I’ve worked in marinas my whole life, experienced the boat buying process firsthand, and know the joys of boat ownership (you may detect a hint of sarcasm in that last part…). It’s an industry I understand and a niche I love.
Fast forward to a year later and I’ve spent 1,042 hours (trust me, I tracked it) learning everything I can about AI. Tools, technologies, systems, you name it. And let me tell you, what I was learning at hour 5 was pretty much obsolete by hour 1,000.
It’s hard to keep up.
But maybe the most important thing I learned was how to spot which parts of AI are here to stay and which parts are going to be useless in a year or two.
And that, my friend, is how I developed my business plan. I focused on the parts of AI that are here to stay. And I figured out how to use them to build a system that fits seamlessly into any marina, boatyard, or marine service business (mechanics, riggers, electricians, divers, and canvas shops).
Top 5 lessons I learned:
Most AI tools run on the same few underlying language models. The real value is in the workflows, guardrails, and integrations around them.
In service businesses, instant response to inbound customers whether by a human or AI is becoming table stakes.
Within the next few years, voice AI (an automated assistant that answers and handles phone calls) will be the default way service businesses handle missed and after-hours calls. The ones without it will fall behind.
Conversation AI is becoming insanely powerful. It can handle real back-and-forth across texts, chats, inboxes, and DMs. And it’s only getting better.
Customers want to talk to real people. The real advantage comes from implementing AI as a reliable, integrated system that works when humans can’t.
With that in mind, I built a system:
Inbound Safety Net
It answers missed calls. It handles inbound messages. It books jobs. It saves sales that usually slip through the cracks.
Most importantly, it only kicks in when you’re not there to respond.
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