Provar

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.
