HubSpot is giving AI agents direct control of its CRM systems, testing the limits of enterprise control. By opening its data and functionality via its APIs and MCP server, the company is moving toward a model where core customer experience operations could be run autonomously.
It’s a bold move given recent incidents involving agent access, such as a Cursor AI agent deleting PocketOS’s entire database and a security breach at Vercel that gave hackers access to customer API keys, which have highlighted how easily AI systems can overreach when given access to tokens. Those incidents have also raised questions about how much control enterprises are willing to give up in pursuit of automation.
Duncan Lennox, Chief Product and Technology Officer at HubSpot, outlined the company’s “vision for building an open ecosystem for the agent era” in a blog post:
“We’re continuing to expand our public API surface so that every capability of the platform—every workflow, every action, every piece of context—is accessible to the apps and agents built on top of us. No capability should live only behind a UI.”
The company is opening its data and intelligence layers to its customers, partners and developers, as it adapts the software to become accessible to AI agents as well as humans.
From Human‑First to Agent‑Ready Software
The shift from human-centric interfaces to machine-operable systems has implications for how businesses orchestrate customer journeys and automate service. The quality of APIs and the way data is structured of data become central to customer experience delivery.
“[A]gents don’t click through dashboards or navigate interfaces; they call APIs, read structured outputs, and take action,” Lennox noted. “Software built for humans has to evolve to be genuinely accessible to agents, too.”
HubSpot is already an open, agent-ready platform, Lennox wrote. Its APIs and MCP server are live, with connectors for Claude, ChatGPT, Gemini and Copilot. More than 2,000 apps run across HubSpot and users are continually building new agents on top of the platform.
That means its foundational layer of contacts, companies, deals, conversations, tickets activity is open and accessible to power integrations.
The next step is “full API parity,” according to Lennox.
“Access alone isn’t enough… Agents also need substance. An agent reasoning over raw records has no way to know what’s normal for a specific business, or what’s worked for hundreds of thousands of companies like it.”
HubSpot views the real AI race as being about context as a differentiator rather than models or data.
AI agents can operate with a deeper understanding of customer history, behavioral patterns and performance benchmarks, potentially improving personalization and responsiveness.
To provide that context, the company is now building the intelligence layer, containing the insights enterprises gain from HubSpot that inform decisions, such as scores, assessments and benchmarks, as well as actions that drive outcomes, including qualifying leads, resolving tickets and saving deals.
“This is the work our Breeze agents already do inside HubSpot, and it will soon be available wherever teams and agents operate,” Lennox added.