Case Study: Ravenna builds and debugs AI support agents faster with Langfuse

Ravenna debugs AI agents orders of magnitude faster with Langfuse

Ravenna, an AI-native internal service desk platform, faced the challenge of building reliable AI agents to automate sensitive enterprise workflows across IT, HR, and operations for their customers. They needed deep observability into these agents' actions to debug complex, multi-system workflows and ensure they operated without errors. Ravenna adopted Langfuse's observability platform from day one to meet this need.

Langfuse provided Ravenna with end-to-end tracing, linking every AI interaction directly to a trace that spans multiple systems. This solution enabled Ravenna's engineers and customer success teams to debug agentic workflows orders of magnitude faster and triage issues independently. As a result, Langfuse became mission-critical infrastructure for Ravenna, allowing them to continuously improve agent performance and build their product with confidence.

Ravenna