---
id: "entity-mckinsey-lilli-d6"
type: "entity"
entityType: "product"
canonicalName: "McKinsey's Lilli"
aliases: ["Lilli"]
source_timestamps: ["§ The Hidden Substitution"]
tags: ["ai-tool", "knowledge-management"]
related: ["concept-retrievable-layer"]
sources: ["agentic"]
sourceVaultSlug: "hbr-seg-agentic"
originDay: 6
articleStem: "hbr-new-26-agentic-systems-implicit-rules"
sourceUrl: "https://hbr.org/2026/06/how-to-design-agentic-systems-around-the-implicit-rules-that-govern-your-company"
sourceTitle: "How to Design Agentic Systems Around the Implicit Rules that Govern Your Company"
---
# McKinsey's Lilli

**Type:** Product / internal AI tool (McKinsey & Company).

**Role in source:** An exemplar of codifying the **retrievable layer** of organizational knowledge — see [[concept-retrievable-layer]].

**Details:** Lilli gives over **75% of McKinsey's ~43,000 employees** access to decades of internal documents, collapsing historical search costs. The article's point: this is a genuine success at surfacing knowledge, but it *does not* replace the human discretion layer — it only makes the retrievable layer instantly accessible.

**Canonical reference:** McKinsey official description of Lilli / its AI knowledge platform.