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Infosys Expands Metsä Group AI IT Partnership

Infosys and Finland's Metsä Group expanded their long-standing collaboration on August 5 under a multi-year agreement for global IT operations, with Infosys deploying its Topaz Fabric suite to add agentic AI capabilities across application management, cloud operations, workplace services, service desks, and IT/OT support. Metsä Group CIO Kristiina Lammila said the engagement aims to simplify and transform the company's IT sourcing model to meet efficiency demands. Metsä Group recorded EUR 5.8 billion in 2025 sales and employs about 8,800 people.

read3 min views1 publishedAug 5, 2026
Infosys Expands Metsä Group AI IT Partnership
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Infosys and Finland's Metsä Group expanded their long-standing collaboration on August 5 under a multi-year agreement covering global IT operations. According to Infosys, the engagement will use Topaz Fabric to add agentic AI capabilities across application management, cloud operations, workplace services, service desks, and IT/OT support at mills and offices.

Infosys and Metsä Group expanded their long-standing collaboration on August 5 through a multi-year agreement to modernize the Finnish forest industry's global IT operations. Infosys will provide end-to-end services spanning application management, cloud operations, workplace services, service desk functions, and on-site support at the IT/OT interface across mill and office locations.

The expanded engagement is intended to consolidate Metsä Group's IT sourcing model and support a more unified, AI-ready operating model, according to Infosys and IT Brief.

Agentic operations scope

Infosys said its Topaz Fabric suite will underpin agentic AI capabilities in Metsä Group's IT operations. The company describes Topaz Fabric as a composable, open agentic-services suite. Infosys stated that the deployment is intended to embed intelligence in service delivery, accelerate issue resolution, automate aspects of service management, and support cost savings.

Metsä Group CIO Kristiina Lammila said the engagement is part of an effort to "simplify and transform our IT sourcing model to meet the efficiency demands of today's business environment." She added that the companies aim to accelerate Metsä's IT transformation with AI.

The operational scope extends beyond a conventional cloud or application modernization project. IT Brief reports that it includes workplace and service-desk delivery as well as support where enterprise IT meets operational technology at industrial sites.

Industrial IT context

Metsä Group operates across pulp, paperboards, tissue and greaseproof papers, wood products, and forest services. IT Brief reports that the company recorded EUR 5.8 billion in 2025 sales and employs about 8,800 people.

For data and platform teams, the arrangement illustrates a common industrial modernization pattern: AI-enabled service management is being introduced alongside consolidation of fragmented operational responsibilities. Comparable transformations depend on reliable asset, incident, identity, and operational data flows, particularly where enterprise systems interface with mill environments. The reported agreement identifies the service scope and AI platform, but does not provide technical details on model selection, data governance, automation guardrails, or performance metrics.

Key Points #

  • 1Infosys assumes broad global IT service responsibilities for Metsä Group, extending from cloud and applications to service desks and mill IT/OT interfaces.
  • 2Topaz Fabric is the named platform for agentic IT operations, with Infosys citing service automation, faster issue resolution, and cost-saving objectives.
  • 3Industrial IT consolidation commonly raises integration and governance requirements where enterprise workflows meet operational technology and production-site support.

Scoring Rationale #

This is a substantial enterprise IT services expansion with a defined agentic AI operations component in an industrial setting. It is relevant to practitioners working on IT service management, cloud operations, and IT/OT integration, but the sources provide no implementation metrics or technical architecture details.

Sources #

Primary source and supporting public references used for this report.

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