AI Is Already in Your Enterprise – The Real Risk Is Not Governing It

AI is moving faster than enterprise governance. Devin Redmond, CEO of Theta Lake, explains how CIOs can manage AI-to-AI interactions, shadow AI, and rising regulatory pressure

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Published: March 18, 2026

Rob Scott

Rob Scott

Publisher

AI is no longer experimental. From Microsoft Copilot to Zoom AI Companion, AI is now embedded across enterprise collaboration platforms – and leaders are under pressure to deploy it at scale.

But here’s the challenge: the pace of innovation is outstripping traditional governance models. New behaviors are emerging. AI-to-AI interactions are happening. Shadow AI is spreading. And regulators are watching closely.

In this exclusive UC Today interview, Rob Scott sits down with Devin Redmond, CEO of Theta Lake, to unpack what modern AI governance really looks like – and why moving from guardrails to scalable governance is now mission‑critical for CIOs.

In this conversation, we explore:

  • Why AI has moved from pilot projects to production pressure
  • The innovation paradox facing today’s CIOs
  • Why blocking AI often increases enterprise risk
  • What real AI governance maturity looks like#
  • How to monitor human‑to‑AI and agent‑to‑agent interactions
  • Why regulators are intensifying scrutiny
  • What CIOs should demand from their AI vendors
AI Copilots & Assistants​Artificial IntelligenceCCaaSCopilotDigital Communications Governance SoftwareGenerative AIProductivitySecurity and ComplianceUCaaSUCaaS
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