What Driving Uber Taught Me About Building AI Products and Creating Brands

Look. I was an Uber driver in Toronto long before I started building AI voice agents. And let me tell you, that experience taught me more about customer service, efficiency, and seamless communication than any boardroom meeting ever could.

The Real Cost of Missed Connections

When you're driving around the city, you learn quickly that every minute counts. If I missed a request, someone else got that ride — and my earnings dropped. It’s simple math: each missed ride represented not just lost revenue, but also a missed opportunity to connect with someone. In the world of real estate, mortgages, or law, the same principle applies. Every missed call is a potential deal slipping through your fingers.

During my time behind the wheel, I figured that if I missed even four rides a week, that could translate to a loss of over $10,000 a year. For brokerages, the stakes are even higher. Missed calls can mean lost commissions ranging from $14,000 to $50,000 per deal.

How Driving Uber Sparked a New Journey

But Uber driving was more than just a side hustle; it became my launchpad. I started sharing stories from my rides, interviewing passengers, and capturing the essence of their experiences. This led to the creation of my own Canadian business reality TV show called The Uber Experiment from 2015 to 2017. Over 56 episodes, I interviewed CEOs, athletes, Cirque du Soleil performers, and even Ed Robertson from Barenaked Ladies.

The show didn’t just happen; it propelled me to marketing heights. I secured sponsorship deals with Tesla, Digipower, and Global Wealth Trade, and was featured by HuffPost Canada multiple times, including in this piece about the show here.

What I Learned About Customer Interaction

As an Uber driver, the goal was simple: make the ride as smooth as possible. Here’s what that taught me about building AI voice agents:

Good service isn’t about being available; it’s about being responsive. AI can fill that gap.

The 4 Key Lessons from Driving Uber

1. Instant response is critical. In rideshare, if you take too long to accept the ride, the customer moves on. AI voice agents need to engage instantly — anything slower and you lose the lead.

2. Transparency builds trust. When riders get in the car, they want to know where we’re going. Similarly, when a potential client calls a brokerage, they should know they’re speaking with AI. Hiding it? That’s a recipe for disaster.

3. Seamless scheduling is a must. I had to get riders to their destination quickly and efficiently. AI voice agents must be able to book appointments or take action immediately during the call. Otherwise, you’re just creating another layer of bureaucracy.

4. Hand over to a human when needed. There were plenty of times when a rider had a special request or concern — I knew to escalate those situations to my support team. AI needs to do the same; when a conversation veers off script, it should immediately connect with a human.

Real Numbers from Driving and AI Implementation

Fast forward to my SaaS venture, where I’ve deployed AI voice agents across multiple industries, including real estate. Here’s how the numbers stack up:

• Calls answered in under 2 seconds: 99%
• Qualified appointments booked from inbound inquiries: +55%
• Reduction in ISA headcount: dropped from 4 to 2, with the remaining agents earning more commission
• Cost of AI agents versus human ISAs: 1/10th

The Entrepreneurial Takeaway

Here’s the hard truth: if you’re still relying solely on humans for inbound calls in 2026, you’re running a 2010 business model. Your competition is already leveraging AI to handle calls, manage inquiries, and book appointments — and they’re doing it efficiently.

Those who will thrive in the next couple of years aren’t just the ones with the flashiest ads. They are the ones whose phones are always answered, whose clients feel valued from the very first interaction.

The deeper lesson? The side-hustle of driving Uber for stories became a content engine that built a brand, which then launched my career. Today, AI voice agents are that new content engine. Founders who treat them as platforms — not just features — will win the next decade. Don’t let your business be the one that misses out. Embrace technology and create a seamless experience for your clients.