Caterpillar · 1 more

Gap-to-target (lowest first)

What it means

AI models are stable and monitored, but value attribution is still approximate. The CFO cannot isolate AI's basis-point contribution to OEE improvement from other operational changes. The portfolio is over-indexed on single-plant deployments while network-wide optimization and cross-plant learning are underexplored. Governance is compliant but not competitive: it meets safety and regulatory expectations but does not accelerate deployment speed. Worker adoption is tracked but not actively managed.

Next steps

Build CFO-grade AI reporting: P&L attribution dashboards, A/B testing frameworks, and quarterly portfolio reviews with reallocation authority. Scale to network-wide optimization: cross-plant model sharing, federated learning, and standardized data platforms. Invest in active adoption management: operator feedback loops, UX improvements, and override pattern analysis. Benchmark against leaders: BASF's 1% yield improvement worth ~$150M annually, BMW's 70% false escape reduction.