Newly appointed Chief AI Officer at a $100B global logistics company pursuing "AI Velocity 2030." AI leadership experience from tech, new to this organization and industry.
Board presentation due in two weeks: 1-year AI roadmap tied to revenue optimization. Four strategic focus areas inherited from executive team. Multiple business units at varying AI maturity, legacy systems, fragmented data.
Validated understanding of your mission-critical priorities and constraints, enabling me to propose a tailored engagement plan focused on immediate support for your board presentation and ongoing strategic partnership.
AI adoption in logistics is accelerating—67% of supply chain executives report having automated key processes—but most initiatives remain in pilot, not scaled. The gap between intention and enterprise-wide deployment is where value gets lost.
Demand forecasting (20-50% error reduction), route optimization, predictive maintenance, real-time supply chain visibility. These use cases show clearest ROI and shortest path to scale.
Data fragmentation across systems and partners (60-70% of AI budgets go to data prep). Legacy OT/IT integration—only 34% report seamless data flow. 72% of failed implementations cite workforce resistance as primary cause.
Geopolitical disruption requiring supply chain resilience, sustainability reporting mandates, customer expectations for real-time tracking, and labor market constraints driving automation urgency.
Enterprise AI platforms run $500K-$2.5M, with 62% of initiatives exceeding budget. Hidden costs—data governance, change management, model oversight—often multiply visible spend by 10x.
Structures planning across seven workstreams (strategy, product/use cases, governance, engineering, data, operating models, culture). Designed to sequence activities from initial to advanced, tied to business outcomes. Directly applicable to your board presentation.
AI Maturity Model — Baseline assessment across seven pillars. AI/Human Readiness Positioning — Diagnose whether blockers are technology or workforce. AI Use Case Prioritization — Sequence initiatives by value and feasibility.
Framework selection will be tailored based on what we learn in our conversation.
Focused support on your board roadmap—right frameworks, right questions, pressure-testing your narrative before you present.
Suggested check-ins: Brief call mid-week (w/c 19 Jan) to review draft roadmap structure, then a final review session (w/c 26 Jan) before your board presentation.
Regular curated briefings connecting industry signals to Gartner research. Peer connections with AI leaders facing similar challenges. Targeted analyst calls. Workshop with your leadership team when timing is right.