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As enterprises move from experimental AI pilots to production-grade agentic systems, a new challenge is emerging: visibility. In this episode of DEMO, Keith Shaw speaks with Jeff Wiedemann of Splunk about how organizations can monitor and manage AI agents operating across increasingly complex environments.

The discussion explores how Splunk’s Observability Cloud platform helps IT and engineering teams track agent behavior, analyze token usage and costs, and evaluate output quality — including identifying hallucinations, bias, and other risks. The platform also provides trace-level insights and infrastructure visibility, enabling teams to troubleshoot issues down to individual agent interactions.

For CIOs, the stakes go beyond performance. Without clear observability, AI initiatives risk being stalled by governance and compliance requirements. As organizations scale agentic AI, tools that provide transparency, accountability, and operational control are becoming essential to moving AI safely into production.

This episode is sponsored by Splunk.