Cognizant has signed a definitive agreement to acquire Australia-based DyFlex Solutions, aiming to combine its regional SAP expertise with Cognizant’s artificial intelligence capabilities and global delivery network. The proposed deal is expected to help enterprises in Australia and New Zealand modernise SAP systems and move AI projects into production. The transaction is expected to close in the first quarter of 2027, subject to regulatory approvals and other customary conditions.
The deal would bring DyFlex’s advisory, consulting, implementation, and managed services expertise into Cognizant’s broader technology services business. It would also expand Cognizant’s industry experience across mining and resources, energy and utilities, manufacturing, logistics, the public sector, and the mid-market segment.
Founded in 2011, DyFlex has grown to more than 300 employees. The company operates across Australia and New Zealand and maintains a delivery presence in the Philippines. Its expertise spans SAP Public Cloud and Private Cloud, along with finance, digital supply chains, asset maintenance, human capital management, data, and analytics.
Combining SAP expertise with AI capabilities
Cognizant expects to combine DyFlex’s regional SAP expertise and proprietary delivery tools with its global industry experience and AI platforms following the transaction’s completion.
These capabilities include Neuro AI Enterprise Core, the Cognizant SAP Agentic AI Platform, and Cognizant’s Frontier offerings. The companies aim to help clients move beyond isolated AI experiments and deploy production-ready AI and agentic systems across their SAP environments.
Roshan Subudhi, Senior Vice President and Head of Intelligent Enterprise Platforms at Cognizant, said DyFlex’s SAP consulting capabilities would support efforts to modernise business systems and improve operational performance.
The proposed combination would bring DyFlex’s SAP expertise together with Cognizant’s Frontier and Autonomous Enterprise capabilities and global delivery scale, Subudhi said. The objective is to help clients derive greater business value from their AI investments.
Regional expertise remains central to the deal
Cognizant also highlighted the importance of DyFlex’s local workforce and understanding of industries across Australia and New Zealand.
Carla Ramchand, Managing Director for Australia and New Zealand at Cognizant, said businesses in the region were looking for practical ways to modernise core platforms while adopting cloud, data, and AI technologies.
She said the proposed acquisition would combine DyFlex’s local SAP talent and industry knowledge with Cognizant’s AI capabilities and global reach. Existing DyFlex clients would continue working with the people and expertise they know, while gaining access to a wider range of transformation capabilities, Ramchand added.
DyFlex Chief Executive Officer Evan Mantis said the company had built its business through long-term client relationships, investment in employees, and expertise across SAP and its core industries.
Joining Cognizant would give DyFlex’s clients and employees access to the larger company’s global reach, industry experience, and AI capabilities, Mantis said. He also expressed interest in expanding the company’s offerings for existing clients.
Deal expected to close in early 2027
The acquisition is expected to close in the first quarter of 2027, subject to required regulatory approvals and other customary closing conditions. Until the deal is completed, Cognizant and DyFlex will continue to operate as separate businesses.
The companies have not disclosed the financial terms of the transaction.
The proposed acquisition forms part of Cognizant’s AI Builder strategy, which focuses on connecting AI investment with measurable enterprise value. However, the anticipated benefits will depend on completing the transaction and successfully combining the companies’ capabilities.
For enterprises using SAP across Australia and New Zealand, the deal could broaden access to AI services and implementation expertise. The companies’ stated objective is to help clients integrate AI into core business operations rather than limit deployments to standalone experiments.