---
id: "entity-western-pacific"
type: "entity"
entityType: "organization"
canonicalName: "Western Pacific"
aliases: ["disguised name (Australia-based multinational bank)"]
source_timestamps: ["§ Effect #2: Duplication and Contradiction"]
source_url: "https://hbr.org/2025/09/dont-let-ai-reinforce-organizational-silos"
source_title: "Don't Let AI Reinforce Organizational Silos"
tags: ["case-study", "banking"]
related: ["concept-ai-duplication-contradiction", "question-resolving-model-contradictions"]
sources: ["tail2"]
sourceVaultSlug: "hbr-seg-tail2"
originDay: 2
articleStem: "hbr-tail-130-ai-reinforce-silos"
sourceUrl: "https://hbr.org/2025/09/dont-let-ai-reinforce-organizational-silos"
sourceTitle: "Don’t Let AI Reinforce Organizational Silos"
---
# Western Pacific

**Type:** Case study — disguised name for an Australia-based multinational bank advised by the authors.

**Illustrates:** [[concept-ai-duplication-contradiction]] (Effect #2). The finance department's risk-management AI (using traditional credit scores) flagged a customer segment as high-risk and to be avoided; simultaneously, the marketing department's AI (using digital behavior and social data) flagged the *same segment* as a prime target for acquisition.

**Outcome:** Contradictory directives from the bank's own fragmented intelligence systems created internal tension and strategic paralysis. The example motivates the [[concept-purpose-first-approach]] fix and raises the still-open governance question of how to resolve such conflicts in the moment — see [[question-resolving-model-contradictions]].