Capgemini is to acquire business transformation and services company WNS for $3.3 billion as the IT and consulting firm looks to expand its agentic AI capabilities.

The French multinational said that the move would allow it to offer more agentic AI tools for firms looking to transform their business processes.

Based on calendar year 2024 published information, Capgemini said the combined entities would have generated a revenue of €23.3 billion at a 13.6 per cent operating margin in 2024.

Organisations are turning to generative AI (genAI) and agentic AI as part of their operations and business processes which Capgemini said is creating new business process services called intelligent operations.

Capgemini says that intelligent operations provide a consulting-led approach to transforming and operating horizontal and vertical business processes by leveraging genAI and Agentic AI to improve efficiency and speed through hyper-automation and data.

It went on to say that both companies are already pioneering intelligent operations, with Capgemini benefitting from WNS’ set of sector-specific AI-led solutions, including the recent acquisition of Kipi.ai, to strengthen its data, analytics and AI capabilities.

The consulting firm added that the two companies have a “natural cultural fit” and share common values that will facilitate a smooth integration of the teams.

The transaction has been approved by both Capgemini’s and WNS’s boards of directors.

Aiman Ezzat, chief executive of Capgemini, said that with firms rapidly adopting genAI and agentic AI, the company’s purchase of WNS would provide the group with the scale and vertical sector expertise to capture the emerging opportunity created by the shift from traditional technology to agentic AI-powered intelligent operations.

“Together we will create a leader in intelligent operations, uniquely positioned to support organisations in their AI-powered business process transformation, blending the critical capabilities needed from consulting, technology and platforms to deep process and industry expertise,” he added. “This will address the client needs for agentic AI-driven process transformation to deliver efficiency and agility through hyper-automation while achieving superior business outcomes.”

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