Confidence for the Agentic Enterprise: Scaling AI Agents Without Risk

Today’s AI landscape is fragmented, opaque, and difficult to govern. Traditional testing and governance models were never designed for agentic systems. New AI-first tools promise speed, but often sacrifice predictability, auditability, and control. The result is a growing AI confidence gap — and it’s now the primary barrier to scaling AI beyond pilots and internal tools.

Tony Sumpster (CEO) and Ivan Harris (CPTO) will outline how enterprise leaders should prepare for the Age of the Agentic Enterprise, clarifying why trust is the defining challenge of AI adoption and what must be done to address it.

They’ll discuss:

• Where current approaches to testing, monitoring, and governance fall short for agentic systems
• What enterprises need to move from automation to assurance
• How visibility, continuous testing, and closed-loop assurance enable innovation to scale without increasing risk

The session will introduce Provar's latest platform designed to close the AI confidence gap by providing the trust layer enterprises need to discover, validate, and continuously improve AI agents across their lifecycle.