AI Success Stories

General Electric (GE) uses AI to predict maintenance needs before they become a problem in the first place.

Iron Mountain was struggling with manual order processing and case resolution that were slowing down their customer support operations. The company needed a solution to improve response times and reduce agent workload without compromising service quality.

Rubix, a manufacturing SME in the UK, was experiencing frequent equipment breakdowns, resulting in costly downtime and production delays. These unexpected failures were impacting both revenue and customer satisfaction.

MediCopy, a small healthcare records management company in the United States, faced challenges with the manual processing of thousands of medical records. This approach led to slow turnaround times and an increased risk of errors in handling sensitive patient information.

OnDeck, a financial services SME in the United States, struggled with the manual processing of thousands of small business loan applications. This labor-intensive approach created operational inefficiencies, increased costs, and resulted in slower service for customers seeking timely financial assistance.

Turbulent Hydro, a small Belgian company in the renewable energy sector, faced the challenge of optimizing the performance of its micro-hydro turbines, which convert low-pressure water flows into renewable energy. The key issue was improving efficiency and enabling remote monitoring of turbine performance.