Salesforce Adds Observability to Agentforce, Aiming to Boost AI Performance and Trust
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Why It Matters
By providing transparent, real‑time monitoring, Salesforce helps firms mitigate risk, improve AI reliability, and accelerate AI‑driven digital transformation, a critical need as enterprises scale AI across the customer journey.
Summary
Salesforce announced an observability suite for its Agentforce 360 Platform, giving enterprises real‑time insight into AI agent performance through Agent Analytics, Agent Optimization, and Health Monitoring tools. Built on the Session Tracing Data Model and delivered via Agentforce Studio, the features surface usage trends, decision‑making paths, latency, uptime and error metrics to help teams debug, tune and scale AI agents confidently. The move responds to a 282% YoY rise in AI adoption, aiming to turn opaque agent behavior into measurable, manageable outcomes for customer‑facing and operational use cases. Marketers and other business units can now monitor lead‑qualification bots, support agents and personalization workflows to maintain brand trust and operational efficiency.
Salesforce adds observability to Agentforce, aiming to boost AI performance and trust
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