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Physical AI 示例场景理论部署场景,并非已交付的客户项目。
Manufacturing & Industrial

EU AI Act Compliance: From Zero Governance to Assessment-Ready

How an industrial manufacturer can move from fragmented AI oversight to an assessment-ready governance system before the 2 December 2027 obligations

Framework Overview
周期: 3 months
2026年7月

运营背景

An industrial manufacturer context with AI systems distributed across plants, an incomplete inventory and one or more likely high-risk systems requiring assessment-ready controls.

规模: Representative: 1,000–20,000-employee industrial manufacturers

挑战

Reach a defensible EU AI Act position for AI systems across plants — inventory, risk classification and assessment-ready documentation — before the 2 December 2027 obligations bite.

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An indicative portfolio: dozens of AI systems across plants — visual quality inspection, predictive maintenance, production scheduling, worker-safety monitoring — with no central inventory

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A worker-safety monitoring system likely lands in Annex III high-risk territory and lacks the required risk-management documentation

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Vision inspection models retrained by line engineers with no change-control or logging of the kind Article 12 requires

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A predictive-maintenance vendor cannot produce the technical documentation the Act requires of providers

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Human-oversight arrangements (Article 14) exist in practice on the line but are documented nowhere

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The board wants a defensible answer before the 2 December 2027 enforcement date

我的解决方案

A representative engagement would run end-to-end — from system inventory through technical measures, documentation, and ongoing monitoring — sized to an industrial plant portfolio.

The engagement would start with complete AI system discovery and risk classification, implement the required technical measures (bias testing, explainability, human oversight) and compliant documentation for each high-risk system, and establish an AI governance office with clear roles, processes, and audit trails.

实施阶段

1

Discovery & Classification

Complete AI system inventory across all business units. Risk classification per Annex III. In the modelled portfolio, 12 high-risk systems are prioritised.

3 weeks
2

Technical Measures Implementation

Logging and change-control for retrained vision models, explainability where the Act requires it, and documented human-oversight workflows for the line.

5 weeks
3

Documentation & Governance

Technical documentation per Annex IV, an AI risk-management system, and a model registry with automatic documentation.

3 weeks
4

Audit Preparation & Training

A mock audit with external counsel, and training for the AI governance team on ongoing compliance.

2 weeks

技术与方法

MLflow (Model Registry)SHAP/LIME (Explainability)Fairlearn (Bias Testing)Great Expectations (Data Quality)Evidently AI (Monitoring)Confluence (Documentation)ServiceNow (Governance)PythonSQL

目标成果

The intended outcome is a classified inventory, per-system remediation plans and governance a demanding auditor can follow, owned by the manufacturer's team.

典型合作中的服务

EU AI Act Compliance
Product Decision Review
AI Governance Implementation
Technical Documentation
Training & Capability Transfer

面临类似的处境?

每次合作都以一次 30 分钟的诊断开始。描述你的情况,我会坦诚地告诉你——我能否帮上忙,以及多快能见效。

查看更多实证
EU AI Act Compliance: From Zero Governance to Assessment-Ready — Engagement Playbook