Case Study: Australia-based Energy Company cuts refinery inspection costs 80% and speeds maintenance planning 90X with Provectus Generative AI

Australia-based Energy Company cuts inspection costs 80% with Provectus

The customer, an Australia-based energy company, faced the challenge of reactive maintenance across its gas processing facility. With over 1,500 mechanical assets requiring manual inspections, planning cycles averaged over 80 days and there was no reliable way to predict failures. Provectus was engaged to address this issue.

Provectus implemented a generative AI layer on top of the client's existing IoT and ML stack. This solution automated anomaly detection and work-order generation, using synthetic data for training. The results for Provectus's customer were an 80% reduction in inspection costs and a 90X faster maintenance planning cycle, collapsing the process from over 80 days to a single day.