Siemens AI: Reshaping Asset Management

Siemens is expanding access to its AI-powered Asset Management software for UK manufacturers, providing digital capabilities designed to improve asset performance and operational resilience.

Brightly Software fully transitioned into Asset Management Software after being acquired by Siemens Smart Infrastructure in 2022. Through the integration, manufacturers across sectors including food and beverage, paper, plastic, rubber and metal fabrication can access the Asset Essentials platform.

The rollout reflects a broader shift in industrial procurement, as manufacturers increasingly invest in AI-enabled technologies that improve asset visibility, reduce maintenance costs and support more informed purchasing decisions.

AI strengthens asset procurement strategies

Manufacturers are continuing to invest in data and analytics to improve operational performance, making asset management software an increasingly important procurement consideration.

Siemens' Asset Essentials platform helps organisations reduce maintenance costs, increase productivity and support smarter decision-making through integrated asset management.

The software also supports work order management, data analytics and automated preventive maintenance workflows.

By using the platform, manufacturers can monitor repair-related activities and critical components more effectively, helping reduce downtime while extending the operational life of key assets.

For procurement teams, greater visibility across equipment performance can improve lifecycle planning, optimise maintenance spending and support more strategic investment decisions.

Nigel Hughes, SVP and Head of Product of Asset Management Software at Siemens, says: “Asset management sits at the centre of how organisations operate, maintain and invest in the infrastructure that powers our communities and economies.

“We're bringing human-centric AI to deliver value for technicians through operational efficiency and resilience, creating a continuous flow of intelligence across planning, maintenance and performance.”

Digital asset management supports supplier value

Siemens Asset Management Software enables organisations to manage the full lifecycle of both digital and physical assets. Through AI-powered workflows and digital data integration, customers can improve asset performance, extend equipment lifecycles and reduce operational costs.

The technology also supports procurement by enabling organisations to assess equipment performance over time, providing greater visibility into acquisition decisions and long-term asset utilisation.

Don Kurelich, CEO and Head of Asset Management Software at Siemens, adds: “The Brightly brand becoming Siemens is the next milestone as we continue to deliver the asset management software solutions we've been building for over 25 years.

“Siemens' legacy of innovation and service excellence will build on a foundation of data, AI and accelerated software development to deliver tangible value to the industries, infrastructure and communities in which we live and work.”

To enhance performance reliability and secure long-term value, procurement leaders can leverage the Maintenance Manager feature within Siemens Asset Management Software. The capability combines operational data with specialist knowledge, helping organisations evaluate both acquisition decisions and ongoing asset performance.

Partnerships advance industrial performance

Siemens recently partnered with AI-driven software provider IFS to advance industrial performance through digital technologies.

The collaboration enables manufacturers to connect digital and physical operations, supporting greater visibility across production processes while helping improve equipment reliability, operational efficiency and workforce safety.

As manufacturers continue to modernise operations, AI-powered asset management is becoming an increasingly important procurement capability, enabling organisations to optimise maintenance strategies, improve supplier performance and maximise long-term asset value.