---
id: "concept-shared-cross-functional-kpis"
type: "concept"
source_timestamps: ["§ 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: ["performance-measurement", "kpis", "incentive-design"]
related: ["action-incentivize-collaboration", "entity-cropedge-research", "concept-siloed-ai-implementations"]
definition: "Performance metrics designed to measure collective, end-to-end outcomes across multiple departments, incentivizing cross-functional collaboration and aligned AI deployment."
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"
---
# Shared Cross-Functional KPIs

**Definition:** Performance metrics designed to measure collective, end-to-end outcomes across multiple departments, incentivizing cross-functional collaboration and aligned AI deployment.

Traditional performance metrics are function-specific — sales chases revenue, HR tracks engagement, operations pursues efficiency — which inherently discourages cross-functional AI collaboration. Shared cross-functional KPIs are metrics designed to reflect *collective* outcomes, forcing departments to align their AI tools and processes.

Examples the authors give: end-to-end customer satisfaction, product launch cycle time, and data quality consistency across multiple phases of a project.

At [[entity-cropedge-research]], replacing siloed KPIs (trial accuracy vs. client acquisition vs. cost efficiency) with a shared metric — trial turnaround time from contract to delivery — eliminated friction between sales, operations, and research, aligning their AI usage toward client satisfaction.

This is the direct remedy for [[concept-siloed-ai-implementations]] and is enacted via [[action-incentivize-collaboration]]. Enrichment note: outcome/KPI tracking is broadly endorsed by AI CoE literature (Oracle, IBM, Moveworks); a practical caveat is that shared KPIs can blur accountability and spark measurement disputes when departments face different constraints — the direction is sound but implementation is non-trivial.