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As AI becomes increasingly integrated into digital experiences, many teams focus on adding AI to existing systems.
But AI doesn’t fix poorly structured systems, it exposes them.
In this talk, Anna E. Cook draws from real-world platform and design systems work to explore how decisions about structure, semantics, and interaction shape who can effectively use the systems we create.
She reframes accessibility as a core property of system architecture — not just a legal requirement — and shows how issues in structure and clarity are not resolved by AI, but amplified by it.
Attendees will leave with practical frameworks for evaluating whether an experience is truly “AI-ready,” based on how well its underlying system architecture supports clarity, adaptability, and inclusion.
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Anna COOK
Anna E. Cook is a design systems and product design leader with over a decade of experience shaping scalable, durable systems across complex platforms. Her work focuses on upstream decisions where clarity reduces regressions, improves consistency, and lowers long-term cost as products scale.
She currently works at Microsoft, driving cross-platform system alignment across Azure and AI experiences. Anna partners with design, product, and engineering teams to improve core user flows and platform quality, using research and system-level signals to identify gaps and translate them into reusable patterns and meaningful product improvements.
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