From AI Experimentation to Operational Impact: Securing Microsoft 365 Copilot and AI Agents with E7

Following our AI webinars, this session continues the conversation by focusing on what comes next: moving from AI experimentation and deployment to governance, operational readiness, and measurable business outcomes.

As organizations begin deploying Microsoft 365 Copilot and exploring AI agents, new challenges emerge around data access, governance, accountability, compliance, and oversight. This session will provide practical guidance on building the foundation required to scale AI securely and confidently.

This Session Will Focus On:

• • Why organizations often struggle after Copilot deployment and where AI adoption typically stalls
  • Understanding the differences between Microsoft 365 Copilot and AI agents, and how governance requirements change as AI becomes more autonomous
  • Managing data exposure, oversharing risks, shadow AI, and agent sprawl
  • How Microsoft E7 supports identity governance, data protection, compliance, AI visibility, and agent management
  • What operational readiness looks like before AI can be safely scaled across the organization
  • How to measure AI success through business outcomes rather than adoption metrics alone

For business and technology leaders responsible for driving AI adoption, the conversation is shifting from “what can AI do” to “how do we manage it safely and effectively at scale.” 

Designed for both business and IT leadership, this session provides a grounded, practical perspective on what it takes to move AI & Copilot Agents from different teams experimenting independently  to a trusted, scalable capability across the organization.