Pendo Launches Agent Analytics to Optimize AI Agent Performance

New updates have been reported about Pendo (PC:PENDO)

Pendo, the Raleigh-based software experience management platform, has officially launched Agent Analytics, a first-of-its-kind solution that allows enterprises to measure the effectiveness and usage of their AI agents in real workflows. The tool was made generally available after a successful early access phase, during which organizations used it to monitor user interactions, identify friction points, and enhance productivity. With its enterprise-grade monitoring capabilities, Agent Analytics aims to fill a critical gap in how businesses evaluate and improve AI investments. Pendo has made it accessible as a free-to-start offering, allowing companies of all sizes to ensure their AI initiatives yield tangible business outcomes.

CEO Todd Olson emphasized the growing urgency for businesses to go beyond simplistic metrics when evaluating AI agents, stating, “Agent Analytics provides teams with essential insights to enhance user experience and ensure meaningful ROI.” Early adopters like Pushpay utilized Agent Analytics during the beta testing of their conversational AI search agent, uncovering patterns of user frustration and introducing improvements that drove better engagement and productivity before launch. The platform’s functionality supports monitoring hybrid workflows, analyzing user behaviors, identifying prompt trends, and flagging issues like ‘off-script’ responses or trust-impacting frustrations. With AI adoption accelerating across industries, Pendo’s Agent Analytics positions the company as a key enabler for enterprises to maximize value from their AI-driven initiatives while improving user satisfaction and task completion rates. The rollout marks a significant step in Pendo’s broader strategy to strengthen its leadership in enterprise software experience management.