---
id: "entity-ford-motor-company"
type: "entity"
entityType: "organization"
canonicalName: "Ford Motor Company"
aliases: ["Ford"]
source_timestamps: ["§ They Measure Real-World Performance", "¶18"]
tags: ["case-study", "manufacturing", "automotive"]
related: ["action-track-human-ai-handoffs", "claim-traditional-training-metrics-fail", "framework-building-ai-with-workers"]
sourceUrl: "https://hbr.org/2026/05/the-best-manufacturers-build-ai-with-workers-not-for-them"
sourceTitle: "The Best Manufacturers Build AI with Workers, Not for Them"
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-cl-78-build-ai-with-workers"
---
# Ford Motor Company

**Ford Motor Company** is the source's flagship case study for measuring real-world human-AI performance (Pillar 3 of the [[framework-building-ai-with-workers]]).

**What Ford did.** Ford embedded lightweight, AI-assisted inspection tools — using cameras and mobile devices — directly into production routines to help operators identify defects in real time. Instead of tracking training completion, Ford supervisors focused on *operational signals*:

- how quickly issues were detected and addressed;
- how often operators validated or corrected AI recommendations;
- how consistently teams acted on the surfaced insights.

Ford is the concrete proof point for [[claim-traditional-training-metrics-fail]] and the model for [[action-track-human-ai-handoffs]]. Enrichment confirms Ford's canonical organization identity but notes the specific in-plant details come from the source article itself.

**Canonical name:** Ford Motor Company · **Also appears as:** "Ford".