---
id: "entity-matrix"
type: "entity"
entityType: "product"
canonicalName: "Matrix"
aliases: ["Matrix AI"]
source_timestamps: ["§ Employees Are Initially Skeptical", "§ How the Company Gained Buy-In"]
tags: ["ai-tool", "marketing-optimization"]
related: ["entity-pernod-ricard", "entity-d-star", "question-matrix-adoption-gap"]
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-edu-41-french-spirits-employee-buy-in"
sourceUrl: "https://hbr.org/2025/12/how-a-french-spirits-company-created-employee-buy-in-for-ai"
sourceTitle: "How a French Spirits Company Created Employee Buy-In for AI"
---
# Matrix

An AI tool developed by [[entity-pernod-ricard-d9]] used to allocate marketing spending across brands and channels. It faced initial resistance from marketing managers due to emotional attachments to certain brands, but eventually reached **60% to 70% adoption rates.**

**Enrichment context.** Described elsewhere as a 'marketing effectiveness AI engine' (Matrix AI) that helps reallocate budgets, avoid media saturation, and tailor campaigns for measurable returns; it is one of Pernod Ricard's KDPs. Its lower adoption relative to [[entity-d-star]] (60–70% vs. 85%) is attributed to being 'more disruptive to traditional marketing workflows' and to challenging managers' emotional attachment to brands — raising the still-open question of whether creative/brand decisions require different change-management strategies than logistical/sales decisions ([[question-matrix-adoption-gap]]). Some marketing scholars argue brand stewardship and creative intuition retain unique value that cannot be fully reduced to quantitative optimization, so maximal adoption may not always be desirable here.