Salesforce Opens Its Data to Third-Party AI Agents
Salesforce launched Headless 360, a suite of tools that lets customer support teams and sales executives plug AI agents directly into their data. The announcement came Wednesday at the company's annual developer conference in San Francisco.
The tools work with any third-party AI agent-Microsoft Copilot, Google Gemini, Anthropic Claude, or others. Support teams can automate workflows by connecting these agents to Salesforce data through APIs, model context protocol (MCP) tools, or command line interfaces.
Previously, connecting external AI agents to Salesforce required custom connectors or standard APIs, a process that could be technically complex and slow. Headless 360 simplifies this by offering a standardized approach.
What's Included
Headless 360 contains over 60 MCP tools and 30 preconfigured coding skills. Support teams can give coding agents like Claude Code direct access to their Salesforce data, workflows, and business logic.
The suite includes an "Experience Layer" that separates what an agent does from how it appears. This means the same agent workflow can render as a flight status card in one interface, a rebooking workflow in another, or a decision tile in Slack, ChatGPT, Teams, or other platforms.
Salesforce also built in controls for managing agent behavior. These include testing tools, custom scoring evaluations, A/B testing, and session tracing to monitor agent performance before and after launch.
The Bigger Picture
This move signals Salesforce's strategy shift: customers will increasingly use AI agents to interact with software rather than traditional user interfaces. The company said it made this decision two and a half years ago, choosing to "rebuild Salesforce for agents" by exposing capabilities directly instead of hiding them behind a UI.
Salesforce also announced AgentExchange, a marketplace combining 10,000 Salesforce apps, 2,600 Slack apps, and 1,000 agents and tools from partners like Google, Docusign, and Notion. Users can discover and activate these through AI-guided search.
Pricing details remain unclear. Salesforce said usage will likely follow the same cap model as standard APIs, with charges based on how much work agents perform.
For AI for Customer Support teams, this means direct access to AI Agents & Automation tools without building custom integrations from scratch.
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