In this TestMu 2025 session, 𝐊𝐞𝐥𝐥𝐲 𝐕𝐚𝐮𝐠𝐡𝐧, Sr. Engineering Manager at Zapier, shares her firsthand experiences leading teams through the challenges of adopting AI in engineering. With a background in both engineering leadership and psychology, Kelly uncovers why building AI fluency isn’t just about tools. It's about people, trust, and the ability to balance innovation with rigor.
Through personal stories and practical frameworks, Kelly introduces her PATH model - Psychological safety, Adopt gradually, Teach through champions, and Harmonize practices - a human-centered approach that empowers teams to navigate the uncertainty of AI adoption while protecting critical thinking and quality.
✔ Why AI fluency is more about human judgment than tool usage.
✔The PATH framework for guiding AI adoption across teams.
✔Practical strategies to balance learning with productivity during the J-curve.
✔How to create psychological safety and normalize “AI fails”.
✔Real-world stories from Zapier and Spot AI on gradual, successful adoption.
Testμ
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