The Situation: Transforming a traditional asset records function into a self-serve asset management service for the UK’s Network Rail organization demands more than automation. It took an AI mindset, customized algorithms, and neural networks to deliver a solution that could handle 20,000 miles of track; 30,000 bridges, tunnels, and viaducts; thousands of signals; level crossings; and a property portfolio including 20 of the UK’s largest stations.
Network Rail is a unique public body of the UK Government’s Department for Transport—it has no shareholders. It reinvests its income in the railway infrastructure. It is heavy on legacy technologies and, though founded in 2002, it is built on 200 years of UK railway history and acquired formidable process debt along the way.
To capture and manage engineering records, organizations need an AI mindset—not just tools with the moniker “AI”
National Records Group (NRG) is part of Route Services. NRG provides the rail industry with a center of excellence for records and content management. It manages and distributes signaling, civil and electrification engineering records, data systems, and health and safety files for internal users and customers. The NRG collaborated with Wipro to establish an AI-first mindset, establishing a broad set of AI-enabled services in a self-service model. The service users shouldn’t need any deep technology or process skills.
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