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01 · Use cases— The evidence

Rolls-Royce

7 documented AI deployments at Rolls-Royce, across 3 industries. Each one links to the public source it was taken from.

Chichester, United Kingdom · Founded 1998 · rolls-roycemotorcars.com/en_GB/home.html · WikipediaSource: Wikidata, 2026-11-01

7
deployments
on record
3
industries
Manufacturing
14%
use AI agents
1 of these
1 Jul 2025
latest source date
3 report a measured outcome
§ 1

Public AI record

Rolls-Royce ranks 12th of 16 manufacturing companies on the hub with a public AI record score of 50. It is ahead of 67% of companies on breadth, but behind most on sophistication. Industrial inspection and energy operations automation are common among peers but not yet documented at Rolls-Royce.

Medium confidenceBased on 7 public cases · updated 10 Nov 2026
50
Record score
Out of 100; 50 is typical on the hub
12th of 16
Manufacturing companies
Peer median 56

Nearest peers: Bridgestone EMIA 10th, 52 · thyssenkrupp Automation Engineering 11th, 52 · ABB 13th, 48 · Rockwell Automation 14th, 48

  1. BreadthHow many different kinds of use case, across how many business areas
    67
  2. DepthShare running in production or at scale rather than pilots
    58
  3. SophisticationAgentic share and innovativeness rating
    32
  4. EvidenceShare backed by the company's own sources and measured results
    52
  5. MomentumHow recent the cases are; older cases count less
    41
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 Apr 2016, latest Jul 2025. No new deployment documented since Jul 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. 27%
4 of 6 patterns

Gaps against the industry

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

Deployments

7 deployments at Rolls-Royce, newest first.

  • 1 Jul 2025
    Manufacturing

    Siemens streamlines aircraft engine part manufacturing through digital twin and AI automation

    Siemens · AI platform · Microsoft

    Siemens, Microsoft, and Rolls-Royce collaborated to optimize the complex design and manufacturing process of an aircraft engine hydraulic pump. The initiative leverages Siemens Xcelerator portfolio delivered on Microsoft Azure, integrating AI and digital twin concepts to create a unified digital environment for design, engineering, manufacturing, and quality inspection. Digital thread technology connects all stages of production, sharing managed data across software and processes, eliminating redundancies and manual errors. Generative design, additive manufacturing, and AI-driven automation transform the traditional manufacturing process, iterating countless possibilities to arrive at the optimal design and production path. With AI-powered Siemens NX X Manufacturing software, CNC programming and toolpath generation are automated, reducing effort and enabling compliance with best practices. The resulting hydraulic pump component is lighter, stiffer, and designed for greater reliability and sustainability, supporting Rolls-Royce's focus on next-generation, high-performance aerospace engines. The project showcased up to 80% programming time reduction and major productivity improvements at Hannover Messe 2025. The approach delivers digital transformation and sustainability gains for complex, safety-critical aerospace manufacturing.

    −≤80%
    time
  • 19 May 2025
    Manufacturing

    Rolls-Royce streamlines engine production and predictive maintenance

    Rolls-Royce · Predictive maintenance · Microsoft

    Rolls-Royce, one of the UK’s top manufacturers, launched a multiyear digital and AI transformation program to enhance its competitiveness and resilience. By leveraging Microsoft AI and Cloud technologies, the company is modernizing its design engineering, streamlining engine production, and boosting operational efficiency. A central data repository is helping to unify data across the value chain, enabling the use of generative AI for smart factory initiatives. These strategic steps are creating seamless digital threads across operations, allowing for predictive maintenance and improved productivity. The Microsoft partnership is tailored to Rolls-Royce’s unique manufacturing challenges, aiming to unlock substantial gains in efficiency and customer experience.

    Production

  • 21 Apr 2025
    Manufacturing

    Microsoft and Siemens revolutionize industrial AI at Hannover Messe

    Rolls-Royce · AI platform · Microsoft

    At Hannover Messe 2025, Microsoft showcased industrial AI applications, collaborating with Siemens. They demonstrated the use of Microsoft Copilot Studio tools for various purposes like predictive maintenance, frontline worker training, and generative design for manufacturing. Siemens leveraged Microsoft Azure's cloud capabilities to craft sustainable, efficient, and resilient industrial operations that now benefit renowned brands like Rolls-Royce and Husqvarna.

    Scaled Production

    +25%
    quantified impact
  • 25 Mar 2025
    Manufacturing

    AI agents and digital transformation propel global manufacturers forward

    Rolls-Royce · Automotive operations automation · Microsoft

    At Hannover Messe 2025, Microsoft and key partners demonstrated the real-world impact of AI agents across the manufacturing industry. Microsoft’s Factory Operations Agent and Factory Safety Agent empower frontline workers with natural language insights for production and safety, and Sanctuary AI showcased how Azure-powered general-purpose robots automate complex and unsafe manual tasks. Husqvarna leverages Azure IoT Operations and Vision AI for quality control in chainsaw manufacturing, scaling connected factories globally. Siemens integrates its Industrial Edge with Azure IoT to streamline data between operational technology and IT, improving machine performance and maintenance. Rolls-Royce uses Siemens and Microsoft AI for predictive maintenance and engine optimization in aerospace, while Parsec integrates Microsoft Fabric and Azure AI for conversational data analytics on factory floors. Tulip’s analytics use Microsoft Fabric for real-time insights across multiple sites. This showcases manufacturing’s transition to AI-powered, data-driven production and operational resilience.

    Multi-agentScaled Production

  • 23 Oct 2024
    Public Sector

    AI-Powered Supply Chain and Cybersecurity in US Defense Industrial Base

    Rolls-Royce · Predictive maintenance · Microsoft

    The Defense Industrial Base (DIB) is leveraging AI technologies to revolutionize operations in areas such as predictive maintenance, supply chain optimization, enhanced cybersecurity, and autonomous systems. Key defense contractors including Rolls-Royce, Thales, Lockheed Martin, Northrop Grumman, and Raytheon Technologies utilize AI to improve asset availability, operational readiness, cost savings, and security.

    Production

5 of 7 deployments
§ 4

What it builds

Predictive maintenance is the most common pattern in these deployments: 3.

§ 5

Cloud providers named

Microsoft is named in 7 of these deployments.

  1. Microsoft100% of these
    7
§ 6

Industries

Rolls-Royce deployments span 3 industries.

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