Infosys has expanded its long-standing strategic collaboration with Metsä Group to drive an AI-led transformation of the Finnish forest industry company’s IT operations. Announced on August 5, 2026, from Bengaluru and Espoo, this multi-year engagement aims to unify and modernize Metsä Group’s IT landscape, leveraging Infosys’s AI-first consulting capabilities to improve efficiency and operational scale across global locations.

Under the expanded scope, Infosys will manage end-to-end IT services for Metsä Group, including application management, cloud operations, workplace services, on-site IT/OT interface support, and service desk operations. The services will cover both mill and office environments, aiming to drive productivity and economies of scale while embedding automation and generative AI into daily workflows.

Key Engagement Details

Central to this transformation is Infosys Topaz Fabric, a composable and open agentic services suite. This platform will power agentic AI capabilities across Metsä Group’s IT operations, designed to lift service delivery standards, accelerate issue resolution, and generate cost savings. The integration marks a shift toward intelligent, autonomous IT operations within the forestry sector.

Kristiina Lammila, Chief Information Officer of Metsä Group, stated that the engagement represents a new chapter in simplifying their IT sourcing model to meet modern efficiency demands. She emphasized confidence in the joint ability to accelerate IT transformation powered by AI.

Ruchir Budhwar, EVP & Industry Head for Europe Manufacturing at Infosys, noted that the forestry industry faces rising cost pressures and operational complexity. He highlighted that Metsä Group’s decision to consolidate IT with Infosys reflects trust built over years, allowing the deployment of deep manufacturing sector expertise and the AI-first approach enabled by Topaz Fabric.

What the Numbers Show

While specific financial values for the contract were not disclosed, the expansion signifies a significant consolidation of IT sourcing for a company with EUR 5.8 billion in sales (2025). By moving diverse IT functions—from cloud infrastructure to on-site OT support—under a single AI-driven framework, Metsä Group aims to reduce fragmentation. The use of agentic AI suggests a focus on reducing manual intervention in routine IT tasks, potentially lowering operational costs over the multi-year term.

Metsä Group, owned by approximately 90,000 forest owners, employs about 8,800 people and focuses on pulp, paperboards, tissue, and wood products. Infosys, which employs over 325,000 people across 59 countries, continues to strengthen its position as a leading technology partner in the European manufacturing region through this deepened commitment.

Infosys Limited subsidiary EdgeVerve Systems’ Finacle brand has partnered with HDFC Bank to deploy the Finacle Wealth Management Solution, marking a significant step in the bank’s digital transformation strategy. Announced on August 4, 2026, from Bengaluru and Mumbai, the deployment replaces legacy systems that relied heavily on manual processes with a modern, API-driven architecture. This shift is designed to integrate multiple systems, streamline both domestic and offshore wealth operations, and enable scalable delivery of personalized services. The move addresses critical operational bottlenecks by introducing real-time data processing and automated compliance mechanisms.

The core of this transformation lies in the consolidation of HDFC Bank’s wealth management activities onto a unified digital-first platform. Previously fragmented across various legacy tools, the bank’s operations are now centralized, allowing for broader product coverage and accelerated innovation. The new system empowers relationship managers with enhanced productivity tools and provides clients with improved experiences through tailored advice and multi-currency portfolio management. By automating key operations such as margin lending, bonds, and mutual funds, the solution reduces manual intervention and minimizes error risks.

Key Features of the Deployment

The Finacle Wealth Management Solution introduces several advanced capabilities designed to enhance efficiency and client value. The platform covers a wide spectrum of financial instruments and integrates seamlessly with the existing banking ecosystem.

Rakesh K Singh, Group Head - Private Banking, International Banking, Financial Institutions and BaaS at HDFC Bank, emphasized the strategic importance of this initiative. He stated that the vision was to modernize wealth management with a unified, digital-first platform that delivers agility, efficiency, and innovation. According to Singh, the transformation positions the bank to adapt swiftly to regulatory changes, scale profitably, and deliver differentiated value to clients in India’s evolving wealth management landscape. The consolidation of domestic and offshore businesses onto this single platform is expected to drive sustainable growth.

Strategic Implications

Sajit Vijayakumar, Chief Executive Officer of Infosys Finacle, highlighted the broader industry context, noting that wealth management in India is experiencing significant transformation as leading institutions adopt digital solutions. He described the collaboration as an important modernization initiative aimed at improving client engagement and supporting rapid growth. Finacle’s focus on composable front-to-back-office capabilities allows financial institutions globally to redefine their wealth management processes. This deployment underscores the growing demand for cloud-native solutions that can handle high-volume transaction processing and real-time deal settlements.

What the Numbers Show

The scale of integration is evident in the technical specifications of the deployment. With over 350 APIs driving the solution, the platform offers substantial agility compared to traditional monolithic banking systems. The coverage of 12 distinct asset classes—including complex instruments like private equity and alternate funds—on a single unified platform indicates a significant reduction in operational silos. This level of integration suggests that HDFC Bank can now manage risk and goal planning more effectively through advanced tools, rather than relying on disparate systems for different asset types. The shift from manual processes to automated workflows for critical functions like margin lending and corporate actions points to a likely improvement in turnaround times and operational accuracy.