Business EconomyPosted at: Aug 13 2025 8:31PM


Wipro Partners with Google Cloud to launch Agentic AI Solutions across Industris

Hyderabad, Aug. 13 (UNI) Wipro Limited, a leading AI-powered technology services and consulting company, today announced the successful completion of its generative AI agent-building initiative with Google Cloud, delivering 200 production-ready AI agents across Healthcare, Banking, Insurance, Retail, Manufacturing, and IT industries.
This is another step in the long-standing collaboration between Wipro and Google, enabling joint clients to tap into the full potential of AI agents, the IT company said in a release.

Debashish Ghosh, Global Head, Google Cloud Ecosystem, Wipro Limited said “By leveraging client proximity through our delivery teams, we have been able to surface real customer challenges—enabling us to identify high-impact AI agent use-cases that drive meaningful innovation. Wipro’s industry expertise and engineering scale, combined with Google Cloud’s AI leadership, have resulted in tangible solutions that are already making a difference for enterprise customers.”
The initiative with Google is focused on developing intelligent agents that enhance customer experience, improve business processes across industries, and unlock new opportunities for innovation. These agents are designed to help enterprises fast-track digital transformation using Google Cloud’s advanced AI technologies, including Gemini, the Vertex AI platform. These production-ready agents, now available through the Google Cloud Marketplace, allow Wipro and Google to drive broader consumption and adoption of these solutions.
Victor Morales, Vice President of Global System Integrators Partnerships, Google Cloud said “Wipro is demonstrating how Google’s Gemini models and Vertex AI can be utilized to build powerful, industry-specific agents that transform everyday work across industries.”
“These production-grade AI agents will help our joint customers solve complex challenges and accelerate their business transformation at scale,” Victor added.
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