ManufacturingAgentic AIPublic Cloud

ABB Leads Shift to Autonomous Operations with Genix Industrial AI Platform on Azure

ABB· SwitzerlandMicrosoft Azure · Azure AI Foundry Agent Service · ABB Genix Industrial IoT and AI Suite

ABB built its Genix Industrial IoT and AI Suite on Microsoft Azure and Azure AI Foundry Agent Service, using a multi-agent architecture so AI agents can autonomously execute workflows across assets, operations, supply chain, energy, and emissions management. Genix Copilot lets shop-floor engineers scan a QR code on an analyzer to have AI agents pull real-time data and maintenance logs and suggest a fix, cutting troubleshooting time by 60-80%. Across ABB's customer base, Genix has improved reliability of critical assets by up to 20% and reduced unplanned downtime by up to 60%. Customer Birla Opus Paints used Genix to raise its "Right First Time" production rate from 40-45% to over 80% in its first year and cut root-cause analysis time from a week to an hour.

Overview

ABB built its Genix Industrial IoT and AI Suite on Microsoft Azure and Azure AI Foundry Agent Service, using a multi-agent architecture so AI agents can autonomously execute workflows across assets, operations, supply chain, energy, and emissions management. Genix Copilot lets shop-floor engineers scan a QR code on an analyzer to have AI agents pull real-time data and maintenance logs and suggest a fix, cutting troubleshooting time by 60-80%. Across ABB's customer base, Genix has improved reliability of critical assets by up to 20% and reduced unplanned downtime by up to 60%. Customer Birla Opus Paints used Genix to raise its "Right First Time" production rate from 40-45% to over 80% in its first year and cut root-cause analysis time from a week to an hour.

This entry has 15 published fields tied to exact passages in an immutable source capture.

Inspect the highlighted source

The challenge

ABB needed to help industrial clients overcome aging assets, siloed data, and workforce gaps, all while meeting growing demands for reliability and sustainability; traditional systems left critical data siloed, making it difficult for everyone from shop-floor engineers to executives to get the actionable insights needed for quick, informed responses.

The solution

ABB built its Genix Industrial IoT and AI Suite on Microsoft Azure and Azure AI Foundry Agent Service, integrating operational, engineering and IT data into a multi-agent architecture that lets AI agents autonomously execute complex workflows across assets, operations, supply chain, energy and emission management; Genix Copilot enables natural-language interaction with enterprise data for shop-floor engineers, functional specialists and executives alike.

Agentic AIPredictive Analytics

Reported business value

Using Genix, ABB customers have seen up to 20% improvement in reliability of critical assets and reduced unplanned downtime by up to 60%, with troubleshooting time cut by 60-80%; customer Birla Opus Paints raised its "Right First Time" production rate from 40% to 45% to over 80% in its first year and cut root-cause analysis time from a week to an hour.

Sources

Open any source and check the claim yourself — that is the point of the register.

This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

Related entries

Other manufacturing entries in the register.

All entries
ManufacturingMachine LearningPublic Cloud

ArcelorMittal Enhances Steel Production Through Digital Innovation

ArcelorMittal partnered with IBM Consulting and Infosys to modernize operations through AI, cloud technology and SAP S/4HANA migration. At ArcelorMittal Eisenhüttenstadt, machine learning was introduced to predict and prevent surface defects on automotive steel sheets. At the Hamburg wire rod plant, AI optimized the trimming process by analyzing historical production data to determine optimal cutting points, reducing trim scrap by 20% and contributing to energy savings and lower CO2 emissions. ArcelorMittal also deployed a bio-inspired Ant Colony Optimization algorithm to calculate optimal production schedules, reducing downtime and material waste. At AM/NS India, IBM Consulting used IBM Rapid Move for SAP S/4HANA to migrate data and applications from outdated platforms to a single SAP instance across locations in Dubai, Indonesia and India.

96/100HighPrimary source
ArcelorMittalMachine learning (defect prediction) · Ant Colony Optimization algorithm · SAP S/4HANA +1
ManufacturingComputer VisionUnknown

Michelin runs 200+ AI use cases across manufacturing, supply chain and innovation

French tire manufacturer Michelin has more than 200 AI use cases in production, led by group chief data and AI officer Ambica Rajagopal. Its in-house IRIS system, protected by over 20 patents, partially automates end-of-line visual tire defect inspection to improve inspector efficiency and workplace ergonomics while operators retain final accountability. Machine learning forecasting tools improve demand forecast accuracy and proactively detect stock shortages in the supply chain. Michelin scans the startup ecosystem and uses tools including Databricks and Dataiku, and has partnerships with Microsoft and Rockwell Automation to codevelop AI solutions. The company reports AI-project ROI exceeding €50 million per year, growing 30-40% annually for three consecutive years, governed by an internal data office and responsible-AI principles (people-centric, explainable, accountable).

92/100HighPrimary source
Michelin· FranceDatabricks · Dataiku
ManufacturingGenerative AIPublic Cloud

Schneider Electric fast-tracks innovation with Azure OpenAI Service

Schneider Electric bases customer-facing AI solutions on Azure OpenAI Service within Microsoft Cloud for Manufacturing. Its EcoStruxure Microgrid Advisor uses Azure OpenAI Service and Azure IoT for dynamic control of facility energy performance, EcoStruxure Resource Advisor Copilot helps customers manage energy usage, and the company is developing a PLC code generation copilot to automate programmable logic controller programming for manufacturing robots and IoT devices.

96/100HighPrimary source
Schneider Electric· FranceAzure OpenAI Service · Azure Machine Learning · Azure IoT +1
ManufacturingGenerative AIUnknown

Workerbase powers real-time shop floor AI workflows on Google Cloud

German manufacturing software company Workerbase uses Google Cloud's Vertex AI and Google Kubernetes Engine to deliver real-time, AI-generated troubleshooting instructions to shop floor operators when machines report faults, translating instructions into workers' preferred languages and supporting predictive maintenance. Manufacturers including Siemens and Porsche use the platform, which also lets supervisors build low-code workflow apps in hours instead of months and integrates with legacy systems like SAP.

92/100HighPrimary source
Workerbase· GermanyGoogle Cloud Vertex AI · Google Kubernetes Engine (GKE) · BigQuery +1

Was this helpful?

Your feedback helps us improve our use case database