Pendo, a pioneer in software experience management, has launched Pendo Agent Analytics, a groundbreaking solution that enables organizations to monitor and evaluate the performance of AI agents with the same rigor applied to human employees. Announced at the company’s inaugural Pendomonium X event in New York City, this new offering provides much-needed transparency and control as enterprises integrate agentic AI into their workforce and product strategies.
Pendo Agent Analytics allows businesses to measure the adoption and efficiency of both proprietary and third-party digital agents. As AI agents take on more operational roles, organizations require robust systems to ensure these tools are secure, compliant, and delivering measurable value. Echoing this need, a recent Forrester report emphasized the necessity for transparency, guardrails, and monitoring before widespread adoption of agentic systems can occur.
The analytics suite offers key functionalities, including tracking user engagement across agents and traditional applications, analyzing prompt trends, mapping agent usage to task outcomes, and detecting potential compliance issues. With these insights, IT and R&D leaders can make informed decisions to enhance productivity and ROI while maintaining enterprise-grade governance.
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“The shift to intelligent software is happening faster than we could ever imagine, and enterprises are faced with improving their SaaS applications, while accelerating agent and AI innovation,” said Todd Olson, CEO and co-founder of Pendo. “I’m proud that we are supporting customers wherever they are on their transformation journey.”
Pendo Agent Analytics is positioned to help organizations answer essential performance questions such as: How often are agents being used? What are users doing before and after interacting with an agent? And ultimately, is the AI agent contributing tangible business value?
The release complements a series of product enhancements unveiled at Pendomonium X, aimed at streamlining onboarding, improving user engagement, reducing support costs, boosting upsell potential, and enhancing team productivity.