Irth uses .NET MAUI to modernize its mobile app, helping workers who service critical network infrastructure operate safely and efficiently

.NET MAUI Handlers to reduce boilerplate code and code quantity. And even though the company rebuilt the app in a new code base, it still delivered the improved version in the same amount of time it would have taken if the developers had been using a more familiar code.

Reducing sync times by more than 50 percent on Azure

With its application in place, Irth is confident it can advance its mobile-first strategy. “For the new app, we’re taking a connected-first approach in which we’re synchronizing data continuously,” says Ball. “People will no longer be waiting on large synchronizations.” Results from early users indicate that the new app reduces sync times by more than 50 percent.

By making it easier to use the mobile app, Irth can accelerate innovation by collecting more data on how its application is being used. The company plans to add more mobile apps and extend their use into prospective acquisitions. And because the back end of the solution is on Azure, the company is confident that it will scale to meet client needs. The result will be greater resilience and lower risk for critical network infrastructure.

In using .NET MAUI, Irth was thinking ahead. “We strive to be the thought leader in our industry, and we like to use forward-thinking products before our competitors do,” says Abbitt. “By using .NET MAUI, we’re doing that again.”

Continuing to deliver new features that enhance safety

Irth set up an early adopter program for its new mobile app, and early results suggested that people were thrilled with the new product. “I feel like it’s set up our field users for the future of where we’re heading as a company,” says Ball. “It’s put us in the position to provide them with the tools they need to do their work in the field efficiently—and enjoy doing it.”

The company has already envisioned the next phase of its mobile-first strategy. “We want to enhance visibility into the risk associated with field user activity,” says Abbitt. “Then, we want to tap into AI models to deliver intelligent recommendations. That’s the future of this app.”