The client is a fast-growing technology company that relies heavily on multiple AI-powered agents and services to streamline business operations. With rapid adoption of automation, they needed a centralized way to track, monitor, and maintain these agents in real time. The absence of unified visibility into system performance often led to delays in identifying issues, impacting efficiency and decision-making.

The Challenges

The client was deploying multiple AI agents and services but lacked centralized visibility. Manual log checking delayed issue detection, leading to longer downtimes, missed failures, and poor tracking of performance bottlenecks.