Session Abstract

Organizations are moving quickly from AI experimentation to enterprise-wide deployment of copilots, assistants, and autonomous agents. While many organizations focus their early efforts on governance and technology, they often struggle with a more fundamental question: who owns AI, how are decisions made, and what operating model will enable AI to scale across the business? The organizations seeing the greatest business value from AI are establishing Centers of Excellence that connect strategy, business priorities, technology teams, risk stakeholders, and end users. Rather than acting as a gatekeeper, a modern AI CoE serves as an accelerator by providing clear direction, repeatable processes, and a framework for turning ideas into measurable business outcomes. In this session, we'll explore how leading organizations are designing AI operating models that support sustainable adoption of copilots and autonomous agents. Through practical frameworks, real-world examples, and lessons learned from enterprise AI programs, we'll discuss how to establish ownership, prioritize use cases, manage demand, build organizational capabilities, measure value, and create the structures necessary to scale AI across the enterprise. Whether you're launching your first AI initiative or expanding into agentic AI, you'll leave with a blueprint for building an AI Center of Excellence that enables innovation, accelerates adoption, and helps organizations move from isolated pilots to enterprise-wide transformation. Attendees will leave with: - A practical blueprint for designing an AI Center of Excellence that aligns business strategy, technology teams, and operational stakeholders. - Frameworks for prioritizing AI investments, managing demand, and selecting high-value use cases for copilots and autonomous agents. - Strategies for defining ownership, funding models, success metrics, and value realization across AI initiatives. - An enterprise operating model that helps organizations scale from experimentation to sustainable AI-powered transformation.

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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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