ABOUT THIS EPISODE
Ee Lyn Khoo runs weekly AI experiments across every function of the business. Danny Fields builds the guardrails that make that safe to do. Neither one thinks the other is wrong.
Danny, CTO, and Ee Lyn, Chief People Officer at Avalara, join Keep Moving Forward to break down how they arrived at the same AI accountability principle from opposite sides of the business, and why a no-blame engineering review can quietly become a no-accountability one. They also get into what actually separates useful experimentation from reckless improvising.
They cover:
- Why Ee Lyn's weekly cross-functional AI experiments only work because of the guardrails Danny builds around them
- Why a tool is something people opt into, but infrastructure is something everybody depends on
- What changes about hiring, onboarding, and training once "good" AI use gets a shared definition
- Why every AI-prepared tax return at Avalara still needs a human to click approve before it's filed
- How a no-blame engineering review keeps resilience from becoming an excuse
Danny, CTO, and Ee Lyn, Chief People Officer at Avalara, join Keep Moving Forward to break down how they arrived at the same AI accountability principle from opposite sides of the business, and why a no-blame engineering review can quietly become a no-accountability one. They also get into what actually separates useful experimentation from reckless improvising.
They cover:
- Why Ee Lyn's weekly cross-functional AI experiments only work because of the guardrails Danny builds around them
- Why a tool is something people opt into, but infrastructure is something everybody depends on
- What changes about hiring, onboarding, and training once "good" AI use gets a shared definition
- Why every AI-prepared tax return at Avalara still needs a human to click approve before it's filed
- How a no-blame engineering review keeps resilience from becoming an excuse
English
United States
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