Home Depot's AI Phone Agents Could Reshape How You Handle Customer Calls
Home Depot is rolling out AI voice agents to answer phone calls at its customer service lines. The retailer announced the expansion Wednesday and plans to deploy the system across all U.S. stores within the year.
Instead of navigating phone menus, customers can explain their needs directly to the AI agent using natural language. A live associate remains available if the system can't help.
What the pilot showed
Home Depot tested the AI agents at 50 stores. The system identified why customers were calling within 10 seconds and resolved issues four times faster than traditional phone menus.
The AI handles basic tasks: checking order status, confirming product availability, providing store information, adding items to customer carts, and helping complete purchases.
The trade-offs for your team
AI phone systems can reduce friction. Traditional menus force customers through rigid sequences, creating delays and frustration. A conversational approach lets customers describe their situation in their own words, which often leads to faster resolution.
But speed isn't everything. Research shows consumers trust human support more than automated systems. Many customers worry about how companies use AI to interact with them.
The good news: customer loyalty depends more on effort required than on whether someone talks to a human or uses self-service. If an AI system solves a problem quickly and effectively, customers typically don't penalize the brand for the lack of human contact.
The risk comes when automation fails. AI struggles with background noise, heavy accents, and poor signal quality. Complex issues or high-value purchases-like appliances-still need human judgment.
What this means for support teams
Home Depot says the AI frees up associates to spend more time helping in-store customers or handling complex calls. Your team would likely shift from answering routine questions to managing edge cases and escalations.
The company emphasized that human agents remain essential. Support teams need to stay staffed for technical problems the AI can't solve and for situations where personalized service matters most.
If you work in customer support, this signals where the industry is headed: AI handles volume and routine tasks, your team handles everything else. The mix matters more than replacing one with the other.
For more on how AI is changing customer support operations, see our guide to AI for Customer Support and AI Agents & Automation.
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