Infosys to modernise Valmet IT with AI-first model

Infosys has entered a long-term collaboration with Valmet to modernise the industrial technology group's enterprise IT operations through an AI-first operating model for core IT services.

Under the deal, Infosys will overhaul core IT services and deliver a broader transformation programme to align technology operations more closely with Valmet's business priorities. The work will span enterprise-wide IT operations and aims to improve efficiency, cut costs and make service management more proactive.

Valmet serves process industries, and the agreement is a current example of large companies bringing AI tools into routine IT management rather than limiting them to pilot projects. It also reflects wider demand for cloud modernisation and greater resilience in internal technology systems.

Infosys will use its Topaz and Cobalt offerings in the project. Topaz will introduce agentic AI into IT operations, while Cobalt will build the cloud foundations for the wider modernisation effort.

The operating model will include a human-in-the-loop approach, with staff retaining oversight of AI-driven processes. The structure is intended to support governance, transparency and accuracy as automated systems take on a larger role in monitoring and resolving issues across complex IT environments.

For Valmet, the work forms part of its Lead the Way strategy, which links technology spending more directly to operational and strategic goals. The company wants a digital base that can support changing business needs while improving governance and making better use of existing resources.

Operational focus

The project is focused on day-to-day IT operations rather than customer-facing applications. That includes the systems, processes and support functions that keep internal technology services running across an international business.

Companies have increasingly sought to apply AI to these functions to identify faults faster, reduce manual intervention and improve service continuity. In practice, that can mean using software agents to detect patterns, recommend actions and help resolve incidents before they spread across wider systems.

The engagement is intended to support a more resilient IT foundation for Valmet. Its stated goals include stronger issue resolution, lower operating costs and a closer fit between technology operations and business requirements.

Cloud infrastructure is also central to the programme. By combining AI-led operational management with cloud modernisation, the companies aim to reshape both how IT services are run and the underlying systems on which those services depend.

Executive comments

Valmet's IT transformation leadership described the collaboration as part of a broader effort to update its technology estate.

“At Valmet, our target is to build a resilient, future-ready digital foundation that supports the execution of our Lead the Way strategy. As we modernise our IT landscape, we are focused on improving operational efficiency and strengthening governance. Infosys brings strong capabilities across AI, cloud and managed services, supported by a structured and responsible approach to AI adoption. This collaboration will help us accelerate our transformation journey and create a scalable IT operating model that supports our evolving business needs,” said Arto Huuskonen, VP of IT Transformation, Valmet.

Infosys positioned the agreement as part of a broader push by manufacturers and industrial groups to embed AI into core business systems.

“In today's rapidly evolving business landscape, enterprises must embrace AI-first, business-aligned and future-ready ecosystems to unlock value at scale. Our collaboration with Valmet exemplifies Infosys's commitment to driving transformative outcomes by leveraging the power of Infosys Topaz and Infosys Cobalt. Together, we aim to accelerate innovation, enhance operational agility and create sustained, scalable impact that aligns with Valmet's long-term strategic vision,” said Jasmeet Singh, EVP and Global Head of Manufacturing, Infosys.

The collaboration underlines how major IT services groups are trying to move AI from experimentation into managed operational use, particularly in back-office and infrastructure environments where reliability, oversight and cost control remain central concerns.