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            About Agent Optimization

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            3. Quickstart Your Einstein Generative AI Solution

            About Agent Optimization

            Agent Optimization provides tools to dive deeper into unresolved interactions, identify knowledge gaps, and analyze agent sessions using the Session Tracing Data Model. Agent Optimization is a key component of Agentforce Observability, designed to help you understand how your AI agents perform in real-world scenarios. By analyzing user interactions and agent responses, you can identify areas for improvement and take action to enhance agent effectiveness.

            Required Editions

            Available in: Enterprise, Performance, and Unlimited Editions with an Einstein for Sales, Einstein for Platform, Einstein for Service, Einstein 1 Service, or Einstein GPT Service add-on. To purchase add-ons, contact your Salesforce account executive.

            Key Features

            Agent Optimization introduces several powerful capabilities:

            • Intents: Represents a set of interactions within a session that address a specific user intent or request. Intents are generated daily, then clustered and tagged weekly across all active agents.
            • Quality Scores: Calculated using LLM, quality scores highlight how relevant the agent's response was to the user's request.
            • Session Analysis: Dive into agent-user interactions at the intent level. Understand what users are asking and how agents are responding.
            • Trend Identification: Identify low-performing subagents by quality score, agent misinterpretations, and areas where conversations weren't handled properly, pointing to potential configuration gaps.

            See Also

             
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