Behind the Curtain: Voice AI in Franchising, Build It or Buy It?
Behind the Curtain breaks down what’s actually working inside franchise systems, cutting through surface-level best practices to spotlight the strategies brands are using to win right now, pulled directly from our monthly insider newsletter, Franchise Unfiltered. Each edition captures the behind-closed-doors conversations, experiments, and proven tactics shaping real franchise growth before they become industry talking points.
Voice AI has become one of the biggest technology questions in franchising. Some brands are just starting to explore it, while others are already trying to decide whether they should develop something internally or work with an outside partner.
It’s easy to see why it’s such a hot topic. Whether someone is calling to schedule an appointment, request a quote, or get help with a customer service issue, answering that call can lead to more business and a better customer experience. But when teams are busy or a location is closed, those calls can easily go unanswered. If voice AI can turn more of those conversations into sales and better service, the value is pretty clear.
The Opportunity Is Easy to Understand
Think about a home service franchisee who is out on a job. The phone rings, but answering it means stepping away from the customer standing in front of them. If a potential customer calls after hours, that opportunity may be gone by the time someone follows up the next morning.
For franchisees already spending a significant amount of money to generate demand, letting those calls go unanswered is basically throwing money away. That’s what makes voice AI worth paying attention to. The use cases aren’t theoretical. They connect directly to the everyday challenges of operating a franchise location.
The bigger question is how well the technology can deliver and what needs to happen behind the scenes to make it actually useful.
Voice AI Needs More Than a Script
For brands, that starts with deciding exactly what they want voice AI to do and making sure it has the information and access necessary to do it well.
A voice AI tool needs to understand how the brand communicates with customers, including the questions people typically ask, the terminology the business uses, and what a good customer interaction should sound like. It also needs to connect to the systems required to take action. That could mean accessing a schedule to book an appointment, collecting information for a quote, updating a CRM, or helping resolve a customer support issue.
Most importantly, brands need to define where the technology stops and a person steps in. There are going to be situations where AI can handle the interaction from beginning to end, and there are going to be situations where a customer needs a human being. Those handoffs need to be intentional.
The goal of voice AI shouldn’t be to remove people from the customer experience. It should be to make sure nothing falls through the cracks while allowing people to focus their time where they add the most value.
Should Franchise Brands Build or Buy Voice AI?
Putting all of that in place naturally raises another question: Should you build voice AI internally or work with a partner?
I’ve seen both approaches work, and every franchise brand needs to evaluate what makes the most sense for its business. Brands with significant technology resources, a strong internal product owner, and very specific requirements may have a case for building something themselves.
But in my opinion, more often than not, partnering with a supplier is the right move.
Voice AI is evolving quickly, and building the technology is only the beginning. Someone also needs to manage integrations, train and improve the system, monitor performance, troubleshoot problems, and keep up with changes in the technology itself. What starts as an exciting internal project can turn into a very expensive rabbit hole if a brand underestimates everything required to maintain it.
A good partner brings experience from implementing the technology across different use cases and can help a brand avoid learning every lesson the hard way. They also provide the ongoing support needed to make sure the technology continues to improve rather than becoming another tool that was exciting for six months and eventually gets forgotten.
Start With the Problem, Not the Technology
Like most conversations involving AI right now, I think there’s a temptation to start with the technology and work backward. I’d recommend doing the opposite.
Start with the calls your franchisees are missing. Look at the customer interactions that are taking too much time. Identify where opportunities are falling through the cracks and where a faster response could realistically improve the customer experience or drive additional revenue.
Then determine whether voice AI can solve those problems and what needs to be in place for it to do so successfully.
There’s a lot of potential here, especially in franchise systems where the phone still plays an important role in converting demand into business. But the brands that get the most value out of voice AI won’t necessarily be the ones that move the fastest or build the flashiest technology.
They’ll be the ones that know exactly what problem they’re trying to solve, give the technology what it needs to solve it, and know when a human still needs to pick up the conversation.
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