What problem does it solve? Consumer goods companies often see AI initiatives collapse into isolated IT or single-department projects with no company-wide traction. This Skill guides the derivation of an AI strategy anchored on one shared north star metric, a value-chain hub, and enforceable cross-department collaboration mechanisms. ## Core Features & Use Cases - Four-Step Derivation Workflow: Strategic anchoring, value-chain hub positioning, capability extraction (primary plus collaborative capabilities A/B/C), and a three-layer metric system (north star, process metrics, cross-department SLA metrics). - Dual-Track Governance Design: Produces an AI strategy committee, a cross-functional AI Pod with KPI weighting, and data contracts with SLA breach consequences. - Task Routing and Fallbacks: Handles derivation, consulting, and PPT courseware tasks, with environment adaptation, validation gates, a 10-item failure-mode table, and a 10-point definition-of-done self-check. - Use Case: Ask it to derive an AI north star metric for a dairy group, and it produces a full report covering the enterprise profile, hub selection, metric formulas, departmental process metrics, SLA tables, risks, and a phased roadmap. ## Quick Start Ask the assistant to derive an AI north star metric and cross-department indicator system for your consumer goods company, providing your revenue scale, main channels, and strategic stage.
