Salesforce Bets on AI Agents with Radical ‘Headless 360’ Platform
The platform represents a departure from conventional CRM usage, where human users navigate dashboards and manually update records
Salesforce has announced Headless 360, a new platform that enables AI agents—not humans—to directly execute business processes across its ecosystem, marking a significant shift toward what the company calls the “agentic enterprise.”
Unveiled at the company’s TDX developer conference, Headless 360 exposes Salesforce’s full suite of tools, data, and workflows as APIs, model context protocol (MCP) tools, and command-line interfaces (CLI), allowing AI agents to interact with systems without relying on traditional user interfaces.
The platform represents a departure from conventional CRM usage, where human users navigate dashboards and manually update records. Instead, AI agents can now call APIs, trigger workflows, and access business logic autonomously across channels such as Slack, voice, and messaging platforms.
“So two and a half years ago, we made a decision: Rebuild Salesforce for agents. Instead of burying capabilities behind a UI, expose them so the entire platform will be programmable and accessible from anywhere,” Salesforce said in a blog post.
Headless 360 introduces more than 60 MCP tools and over 30 preconfigured coding skills, enabling developers to give AI agents real-time access to enterprise data and processes.
The platform also includes a new experience layer that supports interactions across multiple surfaces, along with governance tools to control how agents operate in production.
Salesforce says the move reflects a broader industry shift, where AI agents increasingly act on behalf of users. Rather than replacing enterprise software, these agents are expected to rely on platforms like Salesforce as operational backbones.
“Everything on Salesforce is now an API, MCP tool, or CLI command, and agents can use all of it,” the CRM company added.
With Headless 360, Salesforce is positioning itself as infrastructure for AI-driven workflows, betting that future enterprise interactions will be handled primarily by autonomous agents rather than human users navigating interfaces.
