Session Abstract

Organizations are investing heavily in copilots, assistants, and AI agents, but many are making a critical mistake: evaluating the technology before evaluating their readiness to adopt it. Successful AI programs depend on far more than model selection and platform capabilities. Data quality, governance, security, leadership alignment, workforce readiness, and change management often determine whether an AI initiative delivers meaningful business value or becomes another stalled pilot. Yet these organizational factors are rarely assessed before deployment begins. In this session, we'll introduce a practical executive readiness assessment designed to help organizations evaluate their preparedness for enterprise-scale AI adoption. Through real-world examples and lessons learned from AI transformation initiatives, we'll explore the six dimensions that consistently influence AI success: strategy and leadership alignment, data readiness, security and governance, operational capabilities, workforce enablement, and value measurement. Attendees will learn how to identify common warning signs that indicate an organization may not yet be prepared to deploy AI agents at scale, how to uncover readiness gaps before they become costly obstacles, and how to create a roadmap that improves the likelihood of successful adoption. Whether you're planning your first AI initiative or preparing to scale beyond copilots into agentic AI, you'll leave with a framework that helps leadership teams make more informed investment and deployment decisions. Attendees will leave with: -An executive assessment framework for evaluating organizational readiness across strategy, data, governance, security, operations, and workforce adoption. -The ability to identify common readiness gaps and warning signs that frequently derail AI initiatives. -A roadmap for improving organizational preparedness before investing in enterprise-scale AI agents.

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Tiffany Songvilay

Tiffany Songvilay is a powerhouse in modern workplace transformation and AI enablement. As the Global Tech Lead for Avanade’s Copilot Adoption Program and a key player on the North America Copilot Rapid Response Team, she’s helped enterprise clients go from “just testing” to “fully thriving” with AI—boosting productivity, collaboration, and digital know-how along the way. A Copilot MVP and go-to advisor, Tiffany leads global teams, builds enablement and security frameworks, and hosts Prompt-a-thons that make prompt engineering feel less like rocket science and more like second nature. She’s a pro at showing off Copilot in action—whether it’s in Microsoft 365, SharePoint Premium, Viva, or Power Platform—and her sessions are known for being both insightful and refreshingly real. From breaking down metadata extraction in SharePoint to helping teams master the new collab stack (hello Loop, Teams, and Copilot!), Tiffany brings clarity, energy, and a whole lot of credibility to every stage she steps on. Outside of work, she’s a fierce advocate for women of color in STEM and a champion for diversity and LGBTQ+ inclusion. Her LinkedIn posts are packed with practical tips on prompt engineering, and she’s a fan favorite for making even the nerdiest topics fun. Oh—and when she’s not leading AI transformations? You’ll find her on a motorcycle or cuddling her senior rescue dog.

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