Last July, our AC went out on a 98-degree afternoon. I called the HVAC company, sat on hold for twenty minutes, got transferred twice trying to explain that yes, this was an emergency, and finally got a technician booked for three days out. When he showed up, he had no idea I’d already described the problem to two different people on the phone—I had to explain it all over again, standing in a hallway that felt like a sauna. The repair took twenty minutes. Getting to that point took most of a week.

I didn’t know it at the time, but that experience would take on new relevance when I stepped into my current role at Talkdesk: product leader for Commercial & Residential Services (CRS), a vertical built almost entirely around businesses like the one that eventually fixed my AC. Today it’s live: Talkdesk’s Commercial & Residential Services Experience Cloud is generally available, powered by Talkdesk’s Customer Experience Automation platform (CXA), with a full lineup of purpose-built AI agents behind it. This is what we built, why it matters, and how that sweaty-hallway week could have gone differently.

AI-powered customer experience software, built for commercial and residential services.

Trucks, routes, and recurring revenue.

Trucks, routes, and recurring revenue.

Commercial & Residential Services is shorthand for field service businesses serving homes and commercial properties: HVAC and plumbing, pest control, lawn care, propane and water delivery, cleaning, moving, and equipment rental. What ties them together is the business model, not the truck: a technician shows up on a schedule, the relationship renews again and again, and the customer experience lives in the gaps between visits—the reschedule, the billing question, the “is my tech almost here?” text, the emergency that can’t wait.

It’s a category most CX conversations skip past in favor of retail, banking, or airlines, which is exactly what makes it interesting. A huge number of these businesses still run customer service the way they did a decade ago with phone trees, hold times, and a dispatcher juggling a whiteboard.



The labor gap forces the issue.

The labor gap forces the issue.

Every services business in this category is short-staffed, and it isn’t something more spend alone fixes: the Bureau of Labor Statistics projects roughly 40,100 HVAC job openings a year through 2034 and about 44,000 for plumbers, with growth outpacing available technicians.

Every issue an agent resolves without calling a technician for help keeps that technician focused on the job in front of them. The same technology platform that keeps a technician on the truck instead of the phone can also help new hires get up to speed faster, addressing the workforce constraint from both sides: reducing unnecessary calls and making existing teams more productive.



Customers expect real-time service.

Customers expect real-time service.

Customers can see exactly when a rideshare will arrive. Why shouldn’t they have the same visibility when they’re waiting for an HVAC technician? They expect timely updates, easy rescheduling, and answers without sitting on hold.

Agentic AI can deliver that kind of experience. Rather than simply answering FAQs, it can take action, such as rescheduling appointments, providing service updates, and helping customers resolve issues without adding another call to the queue.



The real prize is the engagement layer.

The real prize is the engagement layer.

A customer’s interactions with a services business are scattered across phone, text, chat, and the front door, each one usually routed through a different system tied to a different backend platform. The opportunity sits above all of it: an engagement layer that carries the same AI, the same account context, and the same brand voice into every one of those interactions, no matter which channel or backend system is underneath.



What we built.

What we built.

The Commercial & Residential Services Experience Cloud is a set of modular AI agents that handle specific customer service tasks end to end: identifying the customer, managing their account and equipment, booking or rescheduling appointments (including emergencies), managing services and upsell opportunities, and handling billing. Enterprise-grade security, including PCI DSS, SOC 2, and GDPR/CCPA is built into every payment flow. The agents share context, through Talkdesk Data Cloud, which provides real-time account and job history, so customers don’t repeat themselves. They also connect into the systems businesses already use, so nobody has to rip out their tech stack to adopt it.

That modularity matters most for how differently these businesses operate: some run centralized dispatch across dozens of brands, some are a patchwork of independently run local territories, some keep customer service in-house, others outsource it. Rather than assume one operating model, each brand or location can deploy the agents it needs on its own systems, on its own timeline. That flexibility pays off in a specific way for house-of-brands operators: the same connector that plugs into one field service platform can plug into several, so a business running multiple brands on multiple backends still gets one consolidated customer view instead of a login and a workflow for each.

What’s most exciting isn’t the agent count, it’s the fluency. These agents are built to understand industry requirements, such as distinguishing a service address from a billing address, interpreting what temporary pause means for a lawn plan versus a pest contract, knowing when a reschedule needs a fee disclosure, and recognizing when a request is urgent enough to jump the queue. They also know their limits. A pest control agent, for example, is configured to never diagnose an infestation, to verify a caller’s identity before accessing account data, and to escalate the moment a customer gets upset. That fluency, and restraint, enables the AI agent to resolve a request instead of routing it to a human.



One journey, not a series of handoffs.

One journey, not a series of handoffs.

AI agents weren’t built as point solutions bolted together. A customer’s relationship with a service business is one continuous journey, but it usually breaks at the seams: the person who booked an appointment doesn’t know a customer already called about a bill, and the technician in the driveway doesn’t know a reschedule happened last week.

Every issue resolved is revenue, either protected or created:

  • Fewer repeat contacts and missed appointments. Customer context carries across systems and proactive updates keep customers informed.

  • Faster payment collection. An invoice sent the moment a job ends gets paid sooner than one batched into end-of-day billing.

  • Higher plan retention. A customer who wants to pause a plan for a season can pause it instead of canceling.

  • Higher upsell and renewal conversion. Offers are grounded in real service history, and follow-up agents chase quotes and lapsed plans that would otherwise go cold.

  • Outreach that actually lands. SMS gives teams a direct way to reach customers with time-sensitive updates, rather than relying on a phone call that may go to voicemail.

  • Lower cost to serve. AI agents absorb volume that doesn’t need a live person, freeing the team for conversations that do.



The doorstep moment counts too.

The doorstep moment counts too.

Commercial and residential services is where the CXA vision gets tested against a scenario most CX platforms never touch. The moment that makes or breaks the relationship often isn’t a phone call at all; it’s the technician at the front door, running a diagnostic or taking a payment on a tablet. The goal is giving that field agent the same context and AI-powered assistance in person that a contact center agent gets on a call. Customer experience in commercial and residential services doesn’t end at the phone line, and CXA shouldn’t either.



Underserved is my favorite kind of problem.

Underserved is my favorite kind of problem.

Most of my career in customer experience and product has been in spaces where the conversation is already crowded. Commercial and residential services are the opposite: a massive, essential slice of the economy the industry has overlooked, run by operators who care about their customers but have been under-resourced on the software side. Launching a product built specifically for that, from close to zero, is a rare opportunity.



Take two: How that afternoon could have gone.

Take two: How that afternoon could have gone.

Here’s the version I keep picturing, and it’s the journey we actually built. I message in, no hold music, and an autopilot asks three quick questions: what’s wrong, is anyone in danger, and where. No gas smell, just a dead AC on a 98-degree day, so there’s no need for a safety escalation. Within a minute I get a text with a 45-minute arrival window and another update if the ETA changes. When the technician knocks, they’re already briefed on what I described and already tried, because that context traveled with them instead of staying trapped in a call log they’ve never read.

The story doesn’t end when the AC turns back on. The invoice is sent as soon as the job is closed, not at the end of the shift, and a follow-up comes a day later to ask how it went. If the answer is good, it’s also the moment to ask for a Google or Angi review while the experience is still fresh instead of days later when no one remembers to.

That’s the distance between the repair I actually got and the one CXA is built to deliver: a same-day invoice gets paid faster, a happy customer becomes a public review instead of a missed opportunity, and someone who feels looked after during an emergency is measurably more likely to renew.

If you work in field service, home services, or the platforms that power them, what’s broken in your customer experience today? Not what a vendor pitched you, but what shows up in your call logs and your churn reports. That’s the input that shapes what gets built next.

Author Preeti Padiyar

About Preeti Padiyar

Preeti Padiyar is Head of product for consumer industries at Talkdesk, driving AI-powered customer experience strategy across retail, consumer goods, travel and hospitality, and commercial and residential services. Drawing on more than a decade of experience in cloud CRM, industry applications, and retail and e-commerce technology, she helps enterprises build proactive, connected, and personal customer journeys across voice, chat, SMS, and email. Earlier in her career, Preeti held product leadership and expert roles at SAP, guiding global digital-transformation and customer-engagement initiatives. She specializes in conversational commerce, AI agents, customer journey orchestration, and industry-specific CX innovation, and is a frequent speaker and contributor on the future of AI-driven customer engagement.