HubSpot is back in the news as the company is expanding the capabilities of Breeze Customer Agent. It’s now moving beyond customer service to support interactions across the full buyer journey. This includes marketing, sales, and operations.
The Breeze AI was originally launched as a tool to help service teams manage support tickets. The Breeze Customer Agent has reportedly resolved more than half of all customer conversations autonomously. However, HubSpot says the tool has quietly become useful well before the post-purchase stage, assisting in lead generation, pre-sales queries, and even onboarding.
So now, starting from June 2, the AI-powered agent will be available to all Pro and Enterprise users across HubSpot’s Marketing, Sales, Service, Content, and Operations Hubs. It will be available through HubSpot Credits.
AI That Answers Questions Before You Ask Them
The Breeze Customer Agent has been integrated directly into the HubSpot platform, and no separate add-ons are required. It can now operate across various channels, including email, live chat, WhatsApp, and Facebook Messenger while pulling in customer-specific data like order statuses or renewal dates to personalize responses.
The tool is designed for fast setup and can draw from company-specific sources such as knowledge bases, website content, PDFs, and blogs. It can also perform tasks like password resets and route complex queries to human agents when necessary.
More Than a Chatbot
At first glance, the Breeze may look like a regular AI chatbot, but what sets it apart from traditional bots is that it’s deeply integrated with HubSpot’s ecosystem. It can act on queries by interacting with existing CRM data and even taking follow-up steps. It also adapts its knowledge base over time, learning from customer interactions.
What’s Coming Next
That’s all HubSpot offered in terms of updates for now. However, the company has hinted that future iterations of Breeze Customer Agent will take on even more complex tasks. For example, it could manage CRM updates, schedule meetings, and provide references to past conversations to make the experience more personalized.
