Rockwell Automation, Inc. has added cutting-edge generative artificial intelligence (GenAI) prescriptive work orders to its Fiix Asset Risk Predictor software. For that reason, it created the first complete predictive and prescriptive maintenance solution to help manufacturers eliminate unplanned downtime.

Setting up Fiix Asset Risk Predictor’s powerful AI in as little as two weeks is possible. After that, it can start predicting asset failures days in advance.

Effective Resource Utilization

With the addition of Fiix Prescriptive Maintenance, it now features GenAI capabilities. Specifically, it can transform failure predictions into detailed, actionable work orders for maintenance teams. Asset data, completed work orders, and trusted maintenance sources can generate work orders. Thus, teams can then review and edit work orders. Moreover, they can also instantly push them to any computerized maintenance management system (CMMS) or enterprise asset management (EAM) tool. The system can completely keep and protect the data.

“With Fiix Prescriptive Maintenance, you can turn asset data into the predictions and work orders you need to drastically reduce unplanned downtime. At the same time, boost operational equipment effectiveness (OEE), and make better use of resources,” says Sandy D’Souza, senior director sales, Americas, Fiix by Rockwell Automation. 

In addition, D’Souza said it also helps close the maintenance knowledge gap. Thus, ensuring everyone has access to detailed asset and work order information, whether they’ve just started their career or have decades of experience at a company.

The Fiix Asset Risk Predictor ensures manufacturers see results in the fastest time possible. Specifically, it is bringing together AI-powered predictive maintenance and actionable GenAI work orders.

In addition, it is possible to purchase the Fiix Asset Risk Predictor, now including Fiix Prescriptive Maintenance, and use it independently from the Fiix CMMS. Moreover, it is also possible to integrate it with any CMMS or EAM the company is using.

3 May 2024