---
id: "framework-ichain-layers"
type: "framework"
source_timestamps: ["\\\"§ 2. Build an operating system", "not just a collection of tools.\\\""]
tags: ["system-architecture", "ai-layers"]
related: ["concept-ichain-architecture"]
steps: ["Data intelligence: The foundational layer managing the 'single instance data' and real-time flows.", "\\\"Process intelligence: The layer that understands and optimizes specific operational workflows (manufacturing", "logistics", "etc.).\\\"", "\\\"Decision intelligence: The top layer that translates data and process insights into actionable business decisions (e.g.", "smart allocation", "predictive quality interventions).\\\""]
sources: ["tail1"]
sourceVaultSlug: "hbr-seg-tail1"
originDay: 1
articleStem: "hbr-tail-107-lenovo-ai-supply-chain"
sourceUrl: "https://hbr.org/2026/05/how-lenovo-built-an-ai-powered-supply-chain"
sourceTitle: "How Lenovo Built an AI-Powered Supply Chain"
---
# iChain Architecture Layers

**Framework — iChain Architecture Layers.** Lenovo's [[concept-ichain-architecture]] operating system is structured across three distinct but integrated layers to ensure comprehensive intelligence across the supply chain:

1. **Data intelligence** — the foundational layer managing the [[concept-single-instance-data]] and real-time flows.
2. **Process intelligence** — the layer that understands and optimizes specific operational workflows (manufacturing, logistics, procurement, fulfillment).
3. **Decision intelligence** — the top layer that translates data and process insights into actionable business decisions, e.g., [[concept-smart-allocation-system]] and [[concept-predictive-quality-management]] interventions. The [[concept-supply-commit-accuracy-system]] spans process and decision layers.

The layering is what enables the [[concept-compounding-ai-effect]]: signals captured at the data layer propagate up to reshape decisions elsewhere.

> **Enrichment note:** The three-layer data/process/decision terminology is specific to this HBR case, but it maps cleanly onto control-tower literature (integrating planning, execution, and partner data for cross-functional optimization).
