Salesforce launched Agentforce 3, a major upgrade to its flagship artificial intelligence product for enterprises with new ways to observe and control AI agents on the platform. The Agentforce platform provides companies the ability to build, customize and deploy generative AI agents, which augment the work of employees autonomously. They are goal-oriented pieces of software capable of completing tasks with little or no human supervision. Using the platform, employees across sales, service, marketing and commerce can customize AI “workers” to take action on their behalf using business logic and prebuilt automations. A new Command Center provides complete observability and built-in support for the Model Context Protocol for plug-and-play compatibility with other agents and services. The new Agentforce Command Center unifies agent health, performance and outcome optimization. Built into Agentforce Studio, the command center allows teams to analyze every agent interaction, drill into specific moments and understand trends. It will also display AI-powered recommendations for tagged conversation types to improve Agentforce agents continuously. The command center will act as a single place to understand AI agents changing contextually according to the type of agent that is under display. Users will be able to use natural language to generate topics, instructions and test cases right in Studio. Testing Center simulates AI agent behavior at scale with data state injection and AI-driven evaluation, allowing users to stress-test agents before going live.