The average enterprise already runs twelve or more AI agents, and that number is roughly doubling industry-wide every quarter. Most organizations respond by adding more access controls and better audit logs. Necessary, but it isn’t where the real risk sits. The failure shows up in the handoff, the moment one agent’s output becomes another agent’s input, and nobody owns the call when they disagree.

This point of view explains where governance breaks down as agentic AI scales, why access control and audit logs alone don’t catch it, and what NuSummit built in response.

With this point of view, you’ll:

• Know why only 13% of organizations believe they have the right AI agent governance in place today, and where that gap actually shows up as agents scale.
• See what happens when one agent’s output becomes another agent’s input, and why that handoff, not any single agent’s behavior, is where errors hide.
• Get an honest framework for when building this in-house makes sense, and when it turns into a second product your team didn’t mean to own.
• Learn how identity, audit, cost visibility, and data protection have to work as one shared foundation, not as separate purchases bolted together after the fact.
• See how NuSummit Builder Platform delivers this at enterprise scale, RBAC, tamper-resistant audit logging, PII redaction, sandboxed code execution, and cloud-agnostic deployment, and book a working session to map it against your own environment.

Read the point of view to see why the governance conversation most partners are having stops short, and what operationalizing agentic AI at real scale actually requires.