What Enterprise AI Can Learn from Command and Control

A recorded executive discussion on governing enterprise AI agents.

This conversation explored how mission-critical operating principles from military and high-stakes environments apply to enterprise AI governance — including authority, oversight, runtime control, and forensic accountability.

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WHY THIS MATTERS

AI that operates like mission-critical systems

Agent Credentials

Verify identity, attestations, permissions, and intent before any action is authorized.

Continuous Surveillance

Observe behavior in real time to detect drift, abuse, or anomalous actions.

Runtime Control

Enforce policy and intervene dynamically without interrupting mission flow.

Forensic Proof

Create immutable records to explain, prove, and improve every decision.

PANELISTS

Leaders from mission-critical operations and enterprise AI

Mike Varney

Mike Varney

Former U.S. Navy Submarine Commander

Cam Fulrath

Cam Fulrath

Former U.S. Navy Fighter Pilot

Joel Emery

Joel Emery

Chief Product Officer, CharliAI

Kevin Collins

Kevin Collins

CEO, CharliAI

KEY TAKEAWAYS

Key questions and takeaways

1

How do you credential an autonomous agent before giving it authority?

2

How do you maintain surveillance once it begins acting?

3

Where do hard checkstops belong?

4

How do you establish forensic proof of every consequential action?

5

How do you enforce runtime control at scale without latency bottlenecks?

EXECUTIVE DISCUSSION

Watch the discussion and explore the lessons

A conversation that brought together mission-critical operational leaders and enterprise AI practitioners to examine control, clearance, oversight, and runtime governance for AI agents.