Measure, Manage, and Optimize AI agents with Agentforce Command Center
See how teams can understand and optimize their AI agents through Agentforce Command Center - a complete observability solution for scaling AI agents.
The Agentforce Command Center, integrated into Salesforce’s Agentforce 3, empowers organizations to measure, manage, and optimize AI agents effectively.
It provides a unified dashboard for real-time visibility into agent performance, capturing data through a native session-tracing model within Salesforce Data Cloud.
This enables teams to track key metrics like adoption rates, success in task resolution, deflection rates, and latency, offering insights into how agents impact business outcomes.
For instance, 1-800Accountant achieved 70% autonomous resolution of administrative chats by leveraging these analytics.
Managing AI Agents
Managing agents is streamlined with centralized oversight, allowing IT and business leaders to monitor all production agents across departments. Real-time alerts flag issues like high error rates, while customizable dashboards and integration with tools like Datadog ensure seamless control. The Command Center enforces security through Einstein Trust Layer guardrails, maintaining compliance and trust.
Optimization is driven by AI-powered recommendations and detailed interaction analysis, helping teams refine agent configurations to reduce escalations or improve accuracy. By testing changes in the Agentforce Testing Center, organizations can scale successful setups confidently.
With support for Model Context Protocol and over 200 pre-built actions, the Command Center transforms AI agents into a reliable, interoperable workforce, boosting efficiency and customer satisfaction across enterprises.
Unleashing the Power of Connected Agents with the Newly Expanded AgentExchange
This article discusses Salesforce’s launch of Agentforce 3 and the expanded AgentExchange, a marketplace designed for AI agents. AgentExchange enables businesses to discover and deploy pre-built AI agents and skills, with enhanced connectivity through native support for Model Content Protocol (MCP) and Agent-to-Agent (A2A) standards.
These protocols allow secure, seamless integration with third-party tools and systems, fostering collaboration among agents across platforms. The platform builds on Salesforce’s open ecosystem, offering visibility, control, and industry-specific solutions to accelerate AI adoption.
Over 35 major partners, including AWS, Google Cloud, and IBM, are integrating their MCP servers into AgentExchange, enhancing agent capabilities. Agentforce 3 aims to break down enterprise silos, creating a trusted, interoperable AI-driven workforce, with AgentExchange positioned as a hub for innovation, similar to Salesforce’s AppExchange.
