AI Agent & Copilot Podcast: Mary Myers on Tapping Into AI Models Within Power Platform

Welcome to the AI Agent & Copilot Podcast, analyzing the latest AI Copilot and agent developments from Microsoft and its partners, delving into customer use cases, and exploring how AI plus the Cloud helps customers reimagine their business.

In this episode, Mary Myers, Chief Maximizer at WorldMax, discusses her session at the upcoming AI Agent & Copilot Summit with Tom Smith. Her topic: 5 Game-Changing Use Cases: Leveraging AI Models in Power Platform Solutions.

Highlights

Speaker Background and AI Focus (01:13)

At WorldMax, Myers focuses on helping her customers streamline processes and automate operations to maximize efficiency and minimize costs. Myers provides examples of cost savings achieved by using AI within the Power Platform, such as saving a customer $50,000 annually and another customer saving $600 monthly. She expresses excitement for customers to see the possibilities of AI within the context of Dynamics, but customers must understand both the capabilities of AI and the associated costs. Cost savings are a significant factor for customers, often leading to substantial financial benefits.

AI Agent & Copilot Summit is an AI-first event to define opportunities, impact, and outcomes with Microsoft Copilot and agents. Building on its 2025 success, the 2026 event takes place March 17-19 in San Diego. Get more details.

Session Plans and Key Learning Objectives (05:31)

Myers’ session is designed for business owners, team managers, solution architects, and sales teams as key attendees. She’ll focus on the AI Builder inside Power Platform and its low-code capabilities. She plans to share pre-built and custom models available within the Power Platform and discuss real use cases. It will also cover licensing guides and pricing models to help customers understand costs and savings.

Best Practices and Data Readiness (9:19)

Myers covers best practices for successful AI projects, emphasizing the importance of data organization and readiness. It’s important to identify specific use cases and start small to ensure data quality. She mentions that WorldMax often needs to manage and maintain data structures and automation for customers.

Customer Adoption and Future Outlook (11:00)

WorldMax has customers at various stages of AI adoption, from just starting to using advanced AI models. She shares examples of customers using basic AI capabilities within Dynamics products and others using AI to extract data from industry-specific tools. She describes the journey of customers from using AI models to AI taking proactive actions in business processes.

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