Xuan Lan Yoga Automates Its Customer Support With HubSpot

An AI-powered Customer Agent delivers instant answers, handles common questions automatically, and gives subscribers a better support experience while keeping the conversation personal, on brand, and based on each customer's history.

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Challenge and Results

Xuan Lan Yoga is a leading digital platform for yoga, meditation, and wellness, founded by Xuan Lan. Through XLYStudio, members get access to thousands of classes, guided programs, meditations, and exclusive content designed to support people of all experience levels in their daily practice.

To give its growing subscriber community faster support, Xuan Lan Yoga implemented a Customer Agent in HubSpot that's fully connected to its CRM. The agent can access each subscriber's information, answer common questions on its own, and pass more complex requests to a human support specialist when needed.

1

Automate the Most Common Customer Questions

Build a Customer Agent that could automatically answer frequently asked questions while keeping the brand's voice and the high level of customer service subscribers expect.

2

Personalize Every Conversation With HubSpot

Connect the agent to HubSpot CRM so it could check each customer's subscription status, account history, and other relevant information before responding.

3

Scale Customer Support Without Losing Control

Train the agent using the company's Help Center and internal knowledge base, while setting up automatic handoffs to the support team whenever a request required human assistance.

64 sec

Average First Response Time

The Customer Agent reduced the average first response time from about 16.5 hours to just 64 seconds.

69.6%

Autonomous Resolution Rate

The agent handled nearly seven out of every ten conversations from start to finish without any follow-up from the support team.

1,255

AI-Managed Conversations

Between November 2025 and May 2026, the Customer Agent handled 1,255 conversations. This allowed the support team to spend more time on the cases that needed deeper attention and human expertise.
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