Decoding the Cost: Understanding Microsoft Copilot & Agents Licensing, control costs, measure adoption and increase ROI

Overview:

This webinar provides a deep dive into the complex licensing models for Microsoft Copilot and AI Agents, moving beyond basic feature discussions to focus on the financial and strategic implications. Attendees will learn practical strategies for optimizing licensing costs, implementing effective governance and control mechanisms to prevent shadow IT and overspending, and developing robust frameworks for measuring adoption and calculating the Return on Investment (ROI) of their AI initiatives. We'll cover the latest updates and offer actionable steps to ensure your organization maximizes the value of its investment in Microsoft's generative AI technologies.

Why should you Attend: 

You'll leave with actionable strategies to demystify Copilot's licensing structure, save your organization money by avoiding common overspending pitfalls, and gain the data-driven insights needed to prove the business value (ROI) of your AI investment to the executive board. Learn how to gain control over your AI spend before it spirals out of budget and ensure compliance is maintained from day one.

Areas Covered in the Session:

• Detailed Breakdown of Copilot and Agent Licensing Tiers: Understanding per-user, capacity, and consumption models
• Cost Control & Optimization Strategies: Techniques to manage spend, right-size licenses, and avoid unnecessary expenditures
• Governance and Compliance Frameworks: Implementing policies to control deployment, usage, and data security for AI agent
• Measuring Adoption and Usage: Key metrics and tools for tracking user engagement and successful integration. - Developing an ROI Model: Practical steps for quantifying the business value and calculating the return on your Copilot investment
• Real-World Case Studies and Best Practices: Insights from organizations successfully managing their AI ecosystem

Who Will Benefit:

• Chief Information Officer (CIO)
• Chief Technology Officer (CTO)
• VP of IT, IT Directors and Managers,
• Procurement and Sourcing Managers
• Financial Analysts (focused on Technology Spend)
• Software Asset Management Professionals
• AI/Digital Transformation Leads
• Business Analysts.