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Salesforce Launches Agentforce 3 with MCP to Tackle AI Agent Scalability in Enterprises
- Salesforce has launched Agentforce 3, an updated AI agent platform aimed at enterprise-scale adoption.
- Agentforce 3 introduces the Agentforce Command Centre for monitoring and optimizing AI agent performance.
- Over 8,000 customers have benefited from Agentforce deployments, including notable companies like Engine, Grupo Globo, and 1-800Accountant.
- Grupo Globo reported a 22% increase in subscriber retention, Engine reduced customer case handle time by 15%, and 1-800Accountant saw autonomous resolution of 70% of chat engagements.
- The Command Centre provides analytics on latency, alerts, and integrates with tools like Datadog and Splunk.
- Agentforce Studio supports AI-assisted development and simulation of agent behavior.
- Agentforce 3 now supports Model Context Protocol (MCP) for interoperability with external systems.
- The AgentExchange platform includes over 30 partners for connecting agents with external services.
- Healthcare institutions like UChicago Medicine are automating routine interactions using AI tools to focus on complex needs.
- AI agent usage has surged 233% in the last six months, driving Salesforce's updates in observability and governance.
- Salesforce plans to roll out department-specific Command Centre configurations starting with Service Cloud to track agent performance.
- Agentforce 3 is globally available now with flexible pricing to accelerate enterprise adoption.
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