Session Abstract

Every organization is collecting AI ideas. The real challenge is deciding which ones deserve investment. AI workshops routinely generate dozens of opportunities, from copilots and agents to process automation and custom AI solutions. Yet many organizations struggle to move beyond experimentation because they lack a structured way to evaluate competing priorities. Should you invest in the high-impact initiative that may take months to deliver, or the quick win that generates immediate momentum? How do you compare a customer-facing AI agent against an internal productivity solution? And how do you ensure AI investments align to measurable business outcomes rather than excitement and hype? In this session, we'll explore a practical framework for evaluating and prioritizing AI opportunities across the enterprise. Drawing from real-world experiences helping organizations build AI roadmaps, we'll examine the factors that separate successful initiatives from stalled experiments, including business impact, value realization, urgency, implementation complexity, organizational readiness, risk, and adoption potential. Attendees will learn how to create a repeatable process for assessing AI opportunities, balancing short-term wins with long-term transformation, and building an AI portfolio that delivers meaningful business results. Whether you're supporting an AI Center of Excellence, leading innovation initiatives, or responsible for AI investment decisions, you'll leave with a framework that can be applied immediately within your organization. Attendees with leave with: - A practical framework for evaluating AI opportunities using business value, risk, readiness, complexity, and adoption criteria. - Techniques for comparing competing AI investments and prioritizing initiatives that align with strategic objectives. - An approach for building and managing an AI portfolio that balances quick wins, long-term transformation, and measurable business outcomes.

Note to event organizers

First public delivery

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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