Salesforce, an AI-powered customer relationship management platform, has launched Agentforce 3, an updated version of its digital labor platform that helps businesses scale their AI agents more effectively.
Salesforce said Agentforce 3 gives teams better visibility and control over how their AI agents operate, addressing a common challenge as more enterprises adopt the technology.
“With Agentforce, we’ve unified agents, data, apps, and metadata to create a digital labor platform, helping thousands of companies realize the promise of agentic AI today,” said Adam Evans, EVP and GM of Salesforce AI.
The new version features a Command Center that provides a single view for managers to monitor the health and performance of AI agents and make improvements when needed. The feature is integrated into Agentforce Studio, supporting the entire agent lifecycle with tools to refine operations at scale.
The company noted that as adoption of AI agents has grown, many teams have struggled with a lack of transparency and the inability to adapt agents quickly enough. Salesforce said Agentforce 3 is designed to help companies scale what works, fix what doesn’t, and achieve better results with more clarity and speed.
Agentforce 3 also includes built-in support for the Model Context Protocol (MCP), which enables easier integration with other systems. The release comes with more than 100 new prebuilt actions designed for specific industries, such as patient scheduling, advertising proposal generation, and vehicle servicing, bringing the total library of industry actions to more than 200.
The updated platform is built on Salesforce’s enhanced Atlas architecture, which aims to improve response times, accuracy, and availability. It also offers more control options through new large language models hosted on Salesforce’s infrastructure.
Agentforce 3 introduces a new pricing model that offers per-user plans with unlimited use of actions for employee-facing agents, covering its Sales, Service, and Industry Cloud products. Salesforce said this approach is meant to help organizations adopt AI agents quickly and expand their use as needed.
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