The Intelligent Control Layer for AI Agents: Agentforce Observability & Optimization

AI agents are becoming core to how enterprises serve customers, but most teams still struggle to see what’s actually happening inside those interactions.

Why does an agent choose a step?
Where it hesitated.
Why did the conversation escalate?
Or what’s silently affecting customer experience.

Blind spots like these slow down scaling, break trust, and turn optimization into guesswork. This is especially true when teams can’t trace the decisions driving each interaction.

Agentforce Observability changes that.

This “single mission control” for managing AI agents gives enterprises complete visibility into every interaction, decision, and performance shift. With deep session-level tracing and real-time analytics, teams finally understand how their AI agents think and where improvements matter most.

Layered on top of that, Salesforce Agent Optimization provides administrators and builders with powerful tools to transform raw monitoring data into targeted enhancements for their AI agents. 

It serves as the control plane where visibility translates directly into actionable refinements, ensuring AI interactions are precise, effective, and continuously improving.

This infographic breaks down how Agentforce Observability + Optimization elevates AI agent monitoring. It covers the benefits, functional workflow, and the real business use cases, giving enterprises a clear path to scale AI.

To view the infographic in high resolution, click here.