---
id: "entity-kim-oosthuizen"
type: "entity"
entityType: "person"
canonicalName: "Kim Oosthuizen"
aliases: []
source_timestamps: ["§ Readers Also Viewed These Items", "§ Effect #3: Undershot Company Targets"]
source_url: "https://hbr.org/2025/09/dont-let-ai-reinforce-organizational-silos"
source_title: "Don't Let AI Reinforce Organizational Silos"
tags: ["author", "ai-expert", "researcher"]
related: ["claim-ai-scaling-failure", "concept-siloed-ai-implementations", "entity-vera-wilde", "entity-graham-kenny"]
sources: ["tail2"]
isSpeakerEntity: true
---
## Segment 2 — tail2

## Article 130 — a130

# Kim Oosthuizen

**Role in source:** Co-author of the HBR article and the source of its headline research statistic.

**Profile:** Head of Artificial Intelligence, Australia and New Zealand, at Bupa. An expert in AI integration and responsible adoption. She conducted the research cited in the article revealing that 70% of AI initiatives fail to scale beyond initial deployment.

**Attributed contributions to this vault:** Her research underpins [[claim-ai-scaling-failure]] and the concept of [[concept-siloed-ai-implementations]], and it supplies the [[entity-vera-wilde]] case (15% fewer stockouts / 40% faster response / 25% higher open rates masking flat satisfaction). As co-author she also stands behind [[claim-ai-reinforces-silos]], [[claim-out-of-box-interoperability]], and the three quotes ([[quote-performance-reverse]], [[quote-purpose-not-process]], [[quote-fragmentation-choice]]).

**Canonical reference:** No public canonical URL was provided in the enrichment; the extraction identifies her as Head of AI ANZ at Bupa. Note for downstream use: the 70% figure is *not independently corroborated* by the enrichment sources — treat it as her author claim pending identification of the underlying study.