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01 · Use cases— The evidence

KONE

5 documented AI deployments at KONE, across 1 industry. Each one links to the public source it was taken from.

Espoo, Finland · Founded 1910 · kone.com · WikipediaSource: Wikidata, 2026-11-01

5
deployments
on record
1
industry
Manufacturing
40%
use AI agents
2 of these
26 Jun 2026
latest source date
3 report a measured outcome
§ 1

Public AI record

KONE ranks 1st of 16 manufacturing companies on the hub with a public AI record score of 74. It is ahead of 96% of companies on evidence, but behind most on depth. Industrial inspection and energy operations automation are common among peers but not yet documented at KONE.

Medium confidenceBased on 5 public cases · updated 10 Nov 2026
74
Record score
Out of 100; 50 is typical on the hub
1st of 16
Manufacturing companies
Peer median 55

Nearest peers: Siemens 2nd, 69 · Dow 3rd, 64

  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
    35
  3. SophisticationAgentic share and innovativeness rating
    62
  4. EvidenceShare backed by the company's own sources and measured results
    96
  5. MomentumHow recent the cases are; older cases count less
    94
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 May 2024, latest Jun 2026. Cloud providers named: AWS, 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

Signature use cases

No peer on the hub documents knowledge management or staff assistant.

Stack and approach vs peers
  • Peer cases name Microsoft 92%, AWS 9%, GCP 1%.
  • AI agents: 40% of KONE's cases vs 33% for peers.
  • Cases from the last 12 months: 80% vs 12% for peers.
§ 3

Deployments

5 deployments at KONE, newest first.

  • 26 Jun 2026
    Manufacturing

    KONE: Copilot Studio agent and Power Platform AI automation for contract processing and makers

    KONE · Workflow automation · Microsoft

    KONE, a leader in the elevator and escalator industry, uses Microsoft Power Platform to accelerate its digital transformation and the development of AI-driven business solutions. The company built an AI-driven contract workflow with SAP integration and a Copilot Studio agent to guide makers and generate prompts for Power Apps and Power Automate development.

    AgenticScaled Production

    >54K
    contracts/year · contracts processed per year
  • 27 May 2026
    Manufacturing

    KONE Uses Amazon Bedrock to Build a Secure Technician Troubleshooting Assistant

    KONE · Knowledge management · AWS

    KONE, a global elevator and escalator company, built a generative AI assistant on AWS to help field technicians troubleshoot issues faster using confidential documentation, maintenance reports, and IoT data. Technicians access the assistant through a mobile app called Technician Assistant as a first step before escalating to technical help desks. The solution emphasizes security, privacy, least-privilege access, data minimization, and encryption with AWS Key Management Service.

    Pilot

    40K
    total technicians targeted
  • 29 Apr 2026
    Manufacturing

    Kone uses Amazon Bedrock to build a Technician Assistant for field service

    KONE · Staff assistant · AWS

    KONE, a global leader in elevator and escalator solutions, uses AWS generative AI to speed up elevator and escalator maintenance. The company built a Technician Assistant to help field technicians resolve equipment issues more efficiently and improve service delivery.

  • 29 Apr 2026
    Manufacturing

    KONE Unlocks New Efficiencies Using AWS IoT

    KONE · Predictive maintenance · AWS

    KONE, a global leader in elevator and escalator industry, built a robust and scalable IoT platform using AWS IoT Core and related services to connect and monitor a growing fleet of smart devices. The challenge was to improve operational efficiency, reduce maintenance callouts, and support a large device base with highly available cloud architecture. The solution involved migrating to AWS IoT Core, AWS IoT Device Management, AWS IoT TwinMaker, Amazon Simple Storage Service, and AWS Professional Services to enable near-real-time monitoring, provisioning, and predictive maintenance. The impact included a 40% reduction in customer-reported issues and entrapment incidents, improved provisioning success near 100%, device fleet scale increasing from 100K to 500K, and foundation for AI and digital twin innovations.

    Production

    −40%
    cost
  • 9 May 2024
    Manufacturing

    Generative AI Transforming Industrial Manufacturing with AWS at Hannover Messe 2024

    KONE · AI platform · AWS

    AWS showcased multiple real-world generative AI use cases in industrial manufacturing at Hannover Messe 2024, featuring customers like KONE, BMW Group, Merck & Co., and Vivix Vidros Planos, with partners including Bosch and Mendix. Use cases included troubleshooting and equipment maintenance acceleration, supply chain inventory analysis, defect detection using synthetic data, operator work instructions, product lifecycle visibility, and predictive maintenance. Key AWS technologies used were Amazon Bedrock, AWS IoT SiteWise, Amazon SageMaker, Amazon Q, Amazon QuickSight, and AWS Inferentia. Customers reported benefits such as faster issue resolution, higher operational efficiency, better product quality, fewer false rejects, and accelerated technician training through AI assistants and digital twins. AWS provides a comprehensive, secure, and scalable AI technology stack facilitating generative AI integration in industrial manufacturing operations at scale.

    Multi-agentScaled Production

§ 4

What it builds

AI platform is the most common pattern in these deployments: 1.

§ 5

Cloud providers named

AWS is named in 4 of these deployments.

  1. AWS80% of these
    4
  2. Microsoft20% of these
    1
§ 6

Industries

All of these deployments are in Manufacturing.

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