ABB launches Genix Copilot with Microsoft

Building on its long-standing collaboration with Microsoft, ABB has launched ABB Ability™ Genix Copilot, a generative AI solution that helps energy, utilities and other industries improve efficiency, productivity, and sustainability by contextualizing vast amounts of data and providing actionable insights in an intuitive manner.

Genix Copilot utilizes large language models such as GPT-4, customized for industrial use cases. Unlike traditional natural language processing that works primarily with text, Genix Copilot uses real-world data from the production environment, providing insights that can be immediately implemented to improve industrial operations.

ABB estimates that by embedding Genix Copilot capabilities into its industrial digital solutions, customers can achieve significant cost savings in operations and maintenance, boost production efficiency, and drive improvements in sustainability metrics such as optimized energy use and reduced emissions.



Genix Copilot architecture is designed to handle and process data from multiple sources, including shop floor operations, operator conversations, enterprise systems, unstructured data and metadata, to deliver comprehensive insights with natural language support.

The intuitive conversational interface allows users to inquire about various operational parameters, such as asset health, performance, fault analysis and more, receiving clear and concise responses. For example, a maintenance manager can request a summary of the day’s events for their plant, including insights on critical assets that may require attention, root cause analysis as well as the status of the work orders.




Genix Copilot provides a role-based user experience, offering real-time actionable insights to various functions across an industrial organization – from executives in the boardroom to specialists analyzing performance metrics, and engineers troubleshooting equipment. With a strong emphasis on safeguarding data, the solution enables capturing an operator’s knowledge and facilitates collaborative decision-making across roles.

Three use cases already seeing early adoption: