Your AI agents are failing. You just don’t know why yet.

As organizations transition from simple chatbots to complex, multi-pass agentic AI systems, traditional observability frameworks are hitting a breaking point. Monitoring CPU spikes and standard RED metrics (Rate, Errors, Duration) is no longer enough—they only tell you that an agent responded, not whether its response was correct, consistent, or safe.

In this webinar, engineering leaders from AWS and SAP explore how the open source OpenSearch Observability Stack bridges the gap, offering the transparency, reasoning traces, and cost-effective scalability needed to manage high-stakes AI infrastructure without proprietary data taxes.