Responsible-AI Governance Framework — Walmart
Building proactive policy infrastructure before an incident forced it.
Reading time: approximately 1 min
The Situation
[FILL: The AI governance situation at Walmart when you started this work.]
How I Found the Problem
[FILL: Research, industry frameworks, or inputs that informed the governance design.]
The Real Problem
[FILL: Specific risks or gaps you were designing against.]
Options Considered
[FILL: Options for governance structure and why you chose API auditability, model input validation, and change governance as the three pillars.]
What We Shipped
[FILL: The framework design. Adoption hypothesis. How you got org-wide buy-in.]
Product Teardown — What I Found
[FILL: 2 sentences on which product you tore down and why.]
| Finding | Severity | Recommended Fix |
|---|---|---|
| [FILL: Finding 1] | High | [FILL: Recommended fix] |
| [FILL: Finding 2] | Medium | [FILL: Recommended fix] |
| [FILL: Finding 3] | Medium | [FILL: Recommended fix] |
| [FILL: Finding 4] | Low | [FILL: Recommended fix] |
What Moved
Adopted as the org-wide standard for AI in production. Built as proactive policy infrastructure before any incident required a reactive response.
What I'd Do Differently
[FILL: What would you add to the framework now? What edge cases did you miss?]