What is this webinar about?

This webinar explains why content quality and governance are critical to successful Microsoft 365 Copilot adoption and AI outcomes.

Who should attend this webinar?

This webinar is designed for IT leaders, Microsoft 365 administrators, governance teams, compliance professionals, and enterprise AI stakeholders.

What will attendees learn?

Attendees will learn how to identify problematic content, remediate and secure data at scale, and automate governance processes for better Copilot performance.

When is the webinar scheduled?

The webinar takes place on Wednesday, July 15, 2026, at 2:00 p.m. ET.

Is the webinar free to attend?

Yes, registration for the webinar is free.

Will a recording be available after the webinar?

Yes, everyone who registers will receive access to the on-demand recording.

Why does content governance matter for Microsoft 365 Copilot?

Microsoft 365 Copilot relies on the content available in your environment. Outdated, redundant, or sensitive content can negatively impact AI outputs and user trust.

What types of content issues can impact Copilot results?

Outdated files, duplicate content, unsecured sensitive data, and poorly governed repositories can all affect Copilot accuracy and reliability.

How can organizations improve Copilot readiness?

Organizations can improve Copilot readiness by identifying risky content, remediating outdated information, securing sensitive data, and automating governance policies.

Who is presenting the webinar?

The webinar will be presented by Tyiler George of DryvIQ and Drew Madelung of Protiviti.

Why Copilot Projects Succeed or Fail: It Comes Down to Content

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Picture this: a sales leader asks M365 Copilot to draft a proposal before a client meeting. Copilot builds it from the most relevant content it can find – which happens to be two years old. The proposal goes out with outdated pricing, and the margin gap surfaces in finance three weeks later.

What went wrong? Copilot did exactly what it was asked. The outdated content in the retrieval pool is where the system broke down. A few bad outputs like this one are often all it takes for adoption to stall and the ROI case to unravel.

This is an extremely common problem in organizations moving quickly to invest in AI and Copilot adoption; it’s also entirely solvable.

The organizations getting the most out of Copilot have one thing in common: they built a clean, governed content foundation before problems like this could take root.

Join us and Protiviti at 2 p.m. ET on Wednesday, July 15, for a practical, step-by-step blueprint to fix your content foundation. You’ll leave knowing how to:

Identify the content that Copilot is retrieving and what’s polluting its results
Classify, remediate, and secure content at scale so what Copilot surfaces is relevant, governed, and free of sensitive data exposure
Automate the governance that keeps your content foundation current over time

Your M365 Copilot investment is made. The only variable left is whether your content is ready.

Can’t attend live? Register anyway — everyone who signs up will receive the on-demand recording.

Speakers:

Tyiler George: Enterprise Solutions Architect at DryvIQ

Drew Madelung: Director at Protiviti

Presented By

Tyiler George

Tyiler George is a solutions and technology leader at DryvIQ, focused on helping organizations better understand, manage, and put their content to work.

He has worked on a wide range of large-scale initiatives across Microsoft 365 and other enterprise platforms, helping teams address challenges related to migration, governance, classification, and lifecycle management. His work centers on preparing content environments to support modern Copilot and AI-driven use cases.

Tyiler brings a hands-on perspective from working directly with enterprise teams, helping them move from fragmented, unstructured content to organized and governed content that’s ready to support day-to-day work and business outcomes.

Ready to see DryvIQ in action?

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Why Copilot Projects Succeed or Fail: It Comes Down to Content