Revenue Room™ CXO On-Demand Webinar

Your AI Agents Are About to Access Your Business. Are You Ready?

AI has evolved beyond chatbots.

Today's AI agents can retrieve information, make decisions, and take action across your CRM, customer data, finance systems, and internal knowledge. The technology enabling this shift—Model Context Protocol (MCP)—is opening up enormous opportunities for productivity and growth.

It's also creating an entirely new category of governance and security risk.

In this executive webinar, you'll learn what every business leader needs to understand before giving AI agents access to enterprise data.

Whether you're exploring AI initiatives or already deploying agentic workflows, this session will help you ask the right questions before small implementation decisions become major business risks.

What You'll Learn

1. What MCP is—and why it's quickly becoming the standard for connecting AI to enterprise systems
2. How AI agents access business applications, customer data, and internal workflows
3. The biggest security risks organizations face when deploying AI agents
4. Why authentication, authorization, and auditability matter more than ever
5. How to build governance that scales as AI adoption accelerates
6. Practical frameworks for balancing innovation with risk management
7. The questions every executive, CIO, CISO, CTO, and board member should be asking today

Featured Speakers

Heather Holst-Knudsen, Founder, Revenue Room

Philip Wess, Data & AI Strategy Advisor

Sean Goodwin, Principal, Cybersecurity, Wolf & Company

Together they explore both sides of the equation: how organizations can unlock business value with AI agents while protecting sensitive data, maintaining governance, and reducing organizational risk.

Who Should Watch

This session is designed for executives and technology leaders responsible for AI strategy, digital transformation, data, cybersecurity, operations, and governance, including:

1. CEOs & Business Leaders
2. CIOs & CTOs
3. CISOs & Security Leaders
4. Chief Data & Digital Officers
5. Product & Technology Executives
6. Revenue Operations Leaders

Why This Matters

As AI agents become capable of interacting directly with enterprise systems, the question is no longer whether you'll use AI.

It's whether you've defined what your AI should be allowed to access, what it should be allowed to do, and who is accountable when something goes wrong.

Watch this on-demand webinar to understand the opportunities, the risks, and the governance strategies that will separate organizations that scale AI successfully from those that expose themselves to unnecessary risk.