The home services companies pulling ahead aren’t the ones chasing the flashiest technology. They’re the ones being intentional about it.

Every week, I talk to operators across the industry who are asking the same question: How do we actually use AI? Not in a theoretical sense, but in a way that moves the needle on revenue, efficiency, and customer experience.

Here’s my honest answer: There’s no magic switch. You can’t go to AI.com, download a solution, and wake up to a better business tomorrow. What you can do is be deliberate about where you deploy it, bring your whole organization along for the ride, and measure the results relentlessly. The companies doing those three things right now are the ones building a real competitive advantage.

Why Now Is the Moment

AI isn’t new. Virtual agents for call scheduling have existed in contact centers for years. Predictive analytics have been running behind the scenes at large enterprises for over a decade. What is new is that home services companies—HVAC, plumbing, electrical—are finally in a position to understand and adopt these tools in meaningful ways.

The numbers back it up. AI adoption has already reached 72% across industries, and demand for AI products is projected to grow 21% annually through 2030. For home services, that growth curve creates a window, but it won’t stay open forever. Companies that get intentional now will build capabilities and data advantages that become very difficult for late movers to close.

A year or two ago, the common reaction was fear or hype. Leaders either thought AI was a monster they didn’t understand or a silver bullet that would solve everything. Today, the conversation is maturing. Operators are asking smarter questions, and the technology is delivering real results in our space.

Where AI Is Making an Immediate Difference

The most impactful early applications aren’t flashy. They’re operational. On the call center side, AI gives your CSRs a complete picture of the customer before they even say hello—home age, equipment history, membership status, service preferences. The goal of every inbound call is to stop the shopping. You want that customer to hang up with confidence that the job is handled, not with a reason to call your competitor. AI puts the right information at your team’s fingertips to make that happen.

For dispatchers, AI is improving route optimization, job time estimates, and inventory guidance, ensuring technicians arrive at the right job with the right parts and the right information. These are incremental gains, but they compound fast.

The area I’m most excited about right now is technician coaching. Think about what it used to take to develop a technician: hours of ride-alongs, one-on-one feedback sessions, gut-feel assessments of who was performing and who wasn’t. Now, a service manager can conduct the equivalent of 50 virtual ride-alongs a day from their desk. They can surface the moments when a customer raised a price objection, find out how the technician handled it, and deliver targeted coaching. They can study what top performers do differently and apply those lessons across the team. That’s a fundamentally different way to develop people, and it’s available right now.

Why Most AI Projects Fail (And How to Avoid It)

Here’s something I’ve seen play out too many times. Someone in marketing signs up for an AI tool, starts experimenting, and never tells operations, finance, or leadership what they’re doing. The initiative dies quietly because no one knows if it’s working.

Most AI projects fail for two reasons. First, they’re done in silos. Second, there’s no measurement framework in place from the start. If you don’t have a baseline for conversion rate or average ticket size before you launch, you’ll never know whether the technology is actually driving results. The companies creating real value from AI bring everyone to the table, set clear expectations, and build accountability from day one.

If you’re a smaller operation without a dedicated IT team, start with your existing platform partners. Leverage their implementation resources, and keep your vendor commitments short, the technology is evolving fast enough that a 12-month horizon is smarter than locking into three years today.

Where This Is All Heading

The applications I’ve described are available now. But what excites me most about the next few years is what happens when AI moves beyond how technicians interact with customers and starts changing how they interact with equipment and homes themselves.

We’re approaching a moment where, if we have the right connectivity to smart devices and home systems, we’ll know there’s a problem with an HVAC unit before the homeowner does. We’ll fix smaller issues before they become emergency calls. We’ll shift from reactive service to true predictive maintenance at scale, across thousands of homes.

That’s not science fiction. The technology exists commercially. What’s been missing is the intentional connection between smart home data and service providers. That connection is coming, and the companies building disciplined AI foundations today will be the ones positioned to take full advantage when it does.

The advantage won’t go to whoever adopts AI first. It’ll go to whoever adopts it right. 

AI is not a magic switch, it’s a strategic capability. The Home Services companies that invest thoughtfully, build aligned data foundations, and measure relentlessly will gain a durable competitive edge. At Redwood, we believe AI’s role is to empower our teams, enhance customer experience, and accelerate performance across our partners. The winners in this next era will be those who pair AI innovation with operational discipline.