
The AI in Business Podcast How Walmart Is Reengineering AI Delivery Speed - with David Glick of Walmart
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Mar 17, 2026 David Glick, SVP of Enterprise Business Services at Walmart, who drives AI delivery and prototyping at scale. He discusses stopwatch-speed prototyping and moving from quarterly roadmaps to super-agile cycles. He covers nanoagent and super agent architectures and how layering task-specific agents replaces monoliths. He also talks about building the factory that produces agents and real-time governance tied to code.
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Manage Projects With A Stopwatch Not A Calendar
- Move from calendar-driven plans to stopwatch-driven iteration to exploit AI's rapid prototyping capabilities.
- David Glick shows this by prototyping UX changes in minutes and using faster OODA loops to reduce rework and misalignment.
Automate Compliance By Letting Agents Read Code
- Automate compliance answers by having an agent read code instead of relying on human-drawn architecture diagrams.
- David Glick recommends embedding security, data governance, and privacy checks into real-time toolchains tied to the codebase.
Iteration Volume Reduces Prioritization Pressure
- Faster iteration reduces the need for heavy upfront prioritization because you can deliver many more experiments per year.
- Glick contrasts once-a-year delivery with doing 50 things a year, which makes order less critical.
