Catchpoint, a global leader in Internet Performance Monitoring (IPM), has rolled out advanced monitoring capabilities designed to help organizations detect and resolve AI performance issues before they disrupt operations or customer experiences.
The new Performance and Resilience Monitoring for AI Assistants and Agentic AI systems targets the unique demands of AI-powered workflows, including generative and autonomous tools like Microsoft Copilot, OpenAI’s ChatGPT, and Google Gemini. As businesses integrate these technologies into mission-critical processes, even minor delays or outages can cause significant ripple effects.
“AI assistants and agentic agents are only as reliable as the networks and APIs they depend on,” said Mehdi Daoudi, CEO of Catchpoint. “Our new capabilities give organizations the visibility they need to ensure AI resilience, reduce downtime, and deliver exceptional digital experiences.”
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Unlike basic monitoring, Catchpoint’s solution provides deep observability across the full internet stack. It uses thousands of global monitoring nodes to test API reachability, track latency, simulate real-world prompts, and detect errors in real time. Its Agentic AI Resilience Monitoring adds full-stack visibility for complex workflows, tracing issues across third-party APIs, networks, cloud regions, and SaaS tools.
Recent industry data highlights the stakes: while 57% of companies know immediately when AI systems go down, over a quarter only find out when users complain. Catchpoint’s new tools help close that gap, enabling proactive incident management.
The enhancements are already proving their value in the real world—during a recent OpenAI outage, Catchpoint helped a major tech brand identify and fix issues before users were affected.
By safeguarding AI performance, Catchpoint aims to ensure businesses can fully capitalize on AI’s promise without risking their critical operations or customer trust.