What Does It Actually Mean to Use AI in a Moving Company?

The short answer: Using AI in a moving company means handing a core, repetitive task tied to revenue or operations to an AI agent that runs it end to end on your connected data, without you babysitting it. Drafting emails in ChatGPT is a start, not the finish line. And people stay essential: AI carries the context, while humans carry the relationship.

Key Takeaways

• The litmus test: If an AI agent runs a meaningful, repetitive task end to end, you are using AI.
• Writing emails is a start: Chat prompts save time, but you are still the one doing the task.
• Connected data comes first: An agent can only act on what it can see, so your data sources have to be linked and clean.
• The payoff is capacity: At Snoball, one team member went from serving about 50 accounts to about 150, with better results.
• Humans still matter: Landon’s goal is AI doing 70% of the work and people doing 30%, not people doing none of it.

Every moving company owner says they use AI now. On Movified Mondays, host Mark Hirschi pushed on that directly with Landon Taylor, CEO of Snoball: “What is the difference between using AI as a buzzword and actually using AI in a way that actually improves the outcome for the customers?”

It is a fair question. Jobber’s 2026 Home Service Trends Report found that 52% of home service owners use AI. Yet in ServiceTitan’s 2026 State of AI in the Trades survey, only 11% place high or complete trust in AI tools, and 58% have little or no trust. Adoption is high. Real leverage is rare.

What is the real test of whether you are using AI?

Pick a core task your business repeats every day and see whether AI can run it end to end. Landon gave a clean litmus test.

For a moving company, that might mean following up on open estimates, confirming jobs the day before, routing a new partner referral to the right salesperson, or logging a damage claim and keeping the customer updated. These are not glamorous jobs. They are the ones that quietly cost you revenue when they slip.

Does using ChatGPT to write emails count?

It counts as a start. “If you’re just pulling up Claude or pulling up ChatGPT and using it to help you write emails or... answer a question that you have, or drafts a response, okay, that’s a start, right?” Landon said.

The limit is that you are still doing the task. You open the chat, paste in the context, copy the answer, and send it yourself. That saves minutes, not hours. The leap comes next: “But the moment you’ve connected all your data sources and you have it doing things for you on a repetitive basis without you having to babysit, that’s where you’ve leveraged AI.”

That shift from prompting to delegating is the heart of the move toward AI agents in home services this year. The question stops being “What can I ask it?” and becomes “What can I hand off?”

Why does connected data matter so much?

Because an AI agent can only act on what it can see. If your jobs live in the CRM, your reviews live on Google, your payments live in accounting, and your customer conversations live in someone’s phone, no agent can connect the dots.

Landon described how Snoball approached its own data. The team consolidated referral rates, response rates, and the unstructured data of the conversations themselves so it could be queried in one place. “That data layer is the foundation,” he said. The same order applies to any moving company: connect and standardize first, then automate.

What does AI change in the numbers?

Mostly capacity. Real AI use lets the same team do more without adding cost. Landon shared Snoball’s own example: “Our ability to deliver our service used to take, let’s say, one hire for every 50 accounts. We’ve now got it to where... one FTE can service, let’s say, 150, while improving the value for those 150.”

That is the benchmark worth copying. Not “we use AI,” but “one person now handles three times the work, and customers get a better experience.” For a mover, the equivalent might be an office manager who keeps up with every estimate follow-up in peak season without a second hire.

Does AI replace the people doing the work?

No. It changes the split. Landon said that inside Snoball’s messaging operation, AI has been doing about 20% of the work and people about 80%. “I wanna get it to a point where the AI is seventy percent and the human’s thirty, because AI is quicker, can be even more personal, and it has all this context.”

Seventy percent is not a hundred. At Snoball, Megan, the Snoball Assistant, is a real person backed by smart technology. AI consolidates each customer’s history and suggests the next message based on a playbook Landon said has “been proven over millions and millions of conversations.” That is also why every customer reply needs a playbook: the suggestion is only as good as the approved plays behind it.

Megan still decides what gets sent and when. As Landon put it, automations can get you about 70% of the way there, and the “connective tissue of service” is the human work that connects the dots. The goal is for AI to amplify the human touch, never to replace it, especially in conversations where trust is the whole point.

Where should a moving company start this week?

1. List five tasks your office repeats every day and circle the one most tied to revenue.
2. Write out every step of that task, including where the data comes from.
3. Connect those data sources so an agent can see them without copy and paste.
4. Run the agent alongside a person for two weeks and compare the results.
5. Measure hours saved and outcomes improved, and keep people on the conversations that build relationships.

If that task runs reliably without babysitting, congratulations. You are not just talking about AI anymore. You are using it.