KONE
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KONE has 5 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 2 countries. Key partners include AWS Generative AI Innovation Center, AWS Professional Services, Bosch.
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Hyperscaler mix
See whether KONE's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How KONE builds AI
Build / Buy / Compose across this company's documented cases
3 of 5 cases classified (60%) · Compare all use-case types
Use case portfolio
Use case types at KONE
AI platform leads with 1 of 5 documented cases; 5 distinct types appear across the visible portfolio.
Reported outcomes
3 cases report measurable results
−49.9%
Time & speed
median · 2 metrics
−40%
Cost savings
median · 1 metric
−50%
Quality & accuracy
median · 1 metric
Medians of results published in KONE cases, normalized for comparability. See all benchmarks →
Evidence persistence
1 of 1 judgeable case is still publicly referenced · 1 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What KONE uses across visible cases
RAG Systems appears in 3 of 5 indexed cases; 23 named technologies are mentioned, led by Amazon Bedrock.
All Use Cases (5)
KONE: Copilot Studio agent and Power Platform AI automation for contract processing and makers
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.
KONE Uses Amazon Bedrock to Build a Secure Technician Troubleshooting Assistant
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.
Kone uses Amazon Bedrock to build a Technician Assistant for field service
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.
KONE Unlocks New Efficiencies Using AWS IoT
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.
Generative AI Transforming Industrial Manufacturing with AWS at Hannover Messe 2024
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.
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