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01 · Use cases— The evidence

thyssenkrupp Automation Engineering

6 documented AI deployments at thyssenkrupp Automation Engineering, across 2 industries. Each one links to the public source it was taken from.

6
deployments
on record
2
industries
Manufacturing
50%
use AI agents
3 of these
16 Jun 2025
latest source date
1 report a measured outcome
§ 1

Public AI record

thyssenkrupp Automation Engineering ranks 11th of 16 manufacturing companies on the hub with a public AI record score of 52. It is ahead of 84% of companies on breadth, but behind most on evidence. Industrial inspection and energy operations automation are common among peers but not yet documented at thyssenkrupp Automation Engineering.

Medium confidenceBased on 6 public cases · updated 10 Nov 2026
52
Record score
Out of 100; 50 is typical on the hub
11th of 16
Manufacturing companies
Peer median 56

Nearest peers: Schaeffler AG 9th, 55 · Bridgestone EMIA 10th, 52 · Rolls-Royce 12th, 50 · ABB 13th, 48

  1. BreadthHow many different kinds of use case, across how many business areas
    84
  2. DepthShare running in production or at scale rather than pilots
    76
  3. SophisticationAgentic share and innovativeness rating
    56
  4. EvidenceShare backed by the company's own sources and measured results
    13
  5. MomentumHow recent the cases are; older cases count less
    33
How the score works
Each bar is a percentile against every company page on the hub: 70 means a stronger record than 70% of them. The score is the average of the five. It measures the public record we can document, not the quality of the company's AI.

First documented case Feb 2020, latest Jun 2025. No new deployment documented since Jun 2025. Cloud providers named: Microsoft.

§ 2

Compared with peers

Against 33 other manufacturing companies on the hub.

What peers document

  1. Predictive maintenance20 of 33 peers · here too
    61%
  2. Industrial inspection10 of 33 peers
    30%
  3. 27%
  4. 24%
4 of 6 patterns

Gaps against the industry

Stack and approach vs peers
  • Peer cases name Microsoft 90%, AWS 11%, GCP 1%.
  • AI agents: 33% of thyssenkrupp Automation Engineering's cases vs 34% for peers.
  • Cases from the last 12 months: 0% vs 14% for peers.
§ 3

Deployments

6 deployments at thyssenkrupp Automation Engineering, newest first.

  • 16 Jun 2025
    Manufacturing

    Thyssenkrupp bridges manufacturing skill gap with AI-powered copilots

    thyssenkrupp Automation Engineering · Conversational assistants · Microsoft

    Thyssenkrupp, a global manufacturing company, collaborated with Siemens and Microsoft to address a pressing shortage of skilled labor in their industrial engineering and operational processes. Through the adoption of Siemens Industrial Copilot, powered by Microsoft Azure OpenAI Service, thyssenkrupp enables both engineers and machine operators to interact with complex manufacturing machinery using natural language input—via text and, soon, voice. By integrating this copilot into their production workflow, they have accelerated programming, troubleshooting, and knowledge transfer. The solution allows even less experienced engineers to program machines, diagnose problems, and understand legacy code, significantly increasing efficiency and bridging generational knowledge gaps. The copilot securely leverages company-specific data in a private Azure cloud. With over 100 other manufacturers also piloting the copilot, the initiative is poised for global rollout.

    AgenticProduction

  • 3 Jun 2025
    Manufacturing

    German Manufacturers Tackle Labor Shortage and Boost Efficiency with AI

    Siemens · Customer personalization · Microsoft

    German manufacturing giants such as Siemens, thyssenkrupp Automation Engineering, Ottobock, Lufthansa, and Otto Group are integrating Microsoft technologies to address industry challenges. AI-driven predictive maintenance and workflow automation have been widely deployed across numerous manufacturing plants to minimize equipment downtime and maximize overall productivity. The sector also leverages AI assistants, like Copilot, to augment factory workforce capabilities amidst growing labor shortages, notably among an aging working population. Ottobock is advancing prosthetic personalization using AI to adapt devices to users in real-time, while Lufthansa utilizes predictive analytics and chatbots for both customer experience and operational efficiency. Otto Group incorporates advanced machine learning models in e-commerce and healthcare, streamlining operations and enabling dynamic inventory management. AI Office Hours and AI-focused education programs from IU International University are upskilling the workforce for the AI era. Germany's approach is underpinned by strict EU regulatory frameworks, ensuring the ethical and sustainable adoption of AI technologies. The use of Microsoft's Azure AI and Copilot solutions is democratized across both large enterprises and SMEs, accelerating digital transformation.

    Production

  • 12 Nov 2024
    Manufacturing

    thyssenkrupp integrates Industrial Copilot in a battery inspection machine

    thyssenkrupp Automation Engineering · Workflow automation · Microsoft

    Siemens reported thyssenkrupp Automation Engineering integrating Copilot for Engineering in a battery-inspection machine on November 12, 2024. Wider use from 2025 was planned.

    Multi-agentProduction

  • 7 Nov 2024
    Education

    German Organizations Transform Education, Manufacturing, and Healthcare with AI

    IU International University of Applied Sciences · Virtual learning assistant · Microsoft

    A roundup of real-world AI implementations across Germany highlights transformational projects in multiple sectors. IU International University of Applied Sciences developed the Syntea AI avatar, integrated with Teams and Microsoft 365 Copilot, reducing course completion time by 27% and preparing 130,000+ students for AI-powered workplaces. Thyssenkrupp Automation Engineering, together with Siemens, uses the Siemens Industrial Copilot built on Azure OpenAI to automate manufacturing and respond to labor shortages, improving real-time production and reducing downtime. Ottobock leverages Azure AI to create custom-fitted prosthetics from body images to accelerate production and improve device fit. Lufthansa Group explores generative AI, including a 3D avatar for passenger guidance and automation for claims processing. Otto Group, including Medgate, leverages GitHub Copilot and Azure OpenAI to power e-commerce and medical Copilot assistants, speeding documentation and translation for clinicians. These implementations are enabled by Microsoft's €3.3 billion investment to expand AI infrastructure, focusing on sustainable and secure data practices.

    Multi-agent

    −27%
    time
  • 31 Oct 2023
    Manufacturing

    Siemens revolutionizes digital manufacturing with AI-driven Copilot

    Siemens · Manufacturing quality monitoring · Microsoft

    Siemens, in collaboration with Microsoft, has launched the Siemens Industrial Copilot, leveraging Azure OpenAI Service to drive transformation in manufacturing. This AI-powered tool assists developers with coding, debugging, and optimizing industrial processes. Engineers gain access to powerful generative AI capabilities for quick analytics, root-cause assessments, and process corrections, significantly enhancing operational efficiency across industries. This partnership heralds a leap forward in digital manufacturing, enabling advanced automation and AI adoption globally.

    Production

5 of 6 deployments
§ 4

What it builds

Conversational assistants is the most common pattern in these deployments: 1.

§ 5

Cloud providers named

Microsoft is named in 6 of these deployments.

  1. Microsoft100% of these
    6
§ 6

Industries

thyssenkrupp Automation Engineering deployments span 2 industries.

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