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Changan Automobile

China Automotive

Engineers build an AI-assisted harness-selection workflow with technical verification

AI-assisted work Workflow Redesign

Measured outcomesIn production

Explore this item in the China AI Workforce Transformation hub.

For the concepts behind task, workflow and role changes, use the AI workforce transformation knowledge guide. For individual capability development, explore the AI Fluency framework.

What changed

What changed

Mao Hai formalized harness rules and used AI to build an executable tool; structured inputs replace manual calculation, with engineer checking.

Key results

Key results

Reported harness-selection calculation time — Source-reported single-workflow comparison; elapsed/work time distinction unspecified, no causal control — Before 2880 minutes · After 5 minutes

Reported by September 2026; sample size and measurement window unspecified

How the organization responded

How the organization responded

Organizational response: Not yet evidenced

Why it matters

AIGW analysis

AIGW interpretation: domain expertise can support tool-building; this does not establish staffing effects or formal reskilling. Assess the reviewed workflow, not enterprise productivity inferred from a task comparison.

Capability implications: AI Orchestration

Human role / decision rights

Human role and decision rights

Engineers inspect traced calculations and retain technical judgment. Formal approval and override rights: Not Yet Evidenced.

Source

Source & evidence

How we verify evidence

Wallstreetcn / AI原生Lab, syndicated by Sina Finance

从2880分钟到5分钟,长安汽车让一线员工造AI工具

Media report

Attributed engineering example and reported task time. Syndication credits Wallstreetcn and AI原生Lab; tool execution need not imply ongoing model inference. Not independently audited.

Xinhua / Xinhuanet

AI赋能千行百业一线观察|AI催生人机协同办公新场景

Media report

Named-engineer application corroboration; does not independently verify the task-time comparison.