Action Plan · CIO
30 · 60 · 90 days — AI Governance Layer
First 30 days
Foundations- Engage Walmart's compliance and IT teams to baseline current audit-readiness of RFID-enabled inventory management (e.g., SmartTrac system); establish current % of audit-ready models (baseline: 20%)
- Define and document key regulatory requirements for explainable AI in retail and apparel sectors (e.g., GDPR, CCPA, industry-specific mandates)
- Select pilot use case: Walmart RFID-based shrinkage prevention model
- Map current mean time to explain a decision (baseline: 240 min) for the pilot model using existing documentation and support processes
First 60 days
Validate- Deploy initial AI governance framework (including model versioning, decision logging, and explanation capture) on Walmart's pilot system
- Train Walmart support and compliance teams on new governance workflows and explanation tools
- Increase audit-ready models to 50% by retrofitting governance layer to additional high-impact models in Walmart's deployment
- Reduce mean time to explain a decision to 120 min through workflow automation and pre-built explanation templates
First 90 days
Decide & scale- Expand governance layer to adidas's RFID-enabled supply chain forecasting (assumption: adidas is next candidate for rollout)
- Achieve 100% audit-ready status for Walmart's production models; validate with internal and external audit teams
- Reduce mean time to explain a decision to 30 min for Walmart pilot; document process improvements and lessons learned
- Develop case study with Walmart for use in regulated industry sales enablement and valuation expansion discussions