Wipro expands Google Cloud partnership to scale Gemini Enterprise AI
- Wipro expands Google Cloud partnership to accelerate Gemini Enterprise adoption
- Launches LIFT framework to operationalise agentic AI at scale across enterprises
- Plans to upskill 10,000 AI-certified experts including 1,500 Forward Deployed Engineers
- Deploys Gemini as central orchestration platform for compliance, HR, and sales workflows

*this image is generated using AI for illustrative purposes only.
Wipro has expanded its partnership with Google Cloud to accelerate enterprise-wide adoption of Gemini Enterprise and agentic AI, introducing its LIFT framework to speed up transformation.
Partnership highlights
The expanded collaboration centres on strengthening enterprise AI capabilities through three key pillars:
- Expanded partnership with Google Cloud to drive integration of Gemini Enterprise and agentic AI
- Upskilling of 10,000 AI-certified experts, including 1,500 Forward Deployed Engineers (FDEs)
- Introduction of the LIFT Framework (Launch-Ignite-Flywheel-Transform) to operationalise agentic AI at scale
Lift Framework and AI talent development
The LIFT framework represents Wipro's structured approach to speeding up AI changes within enterprise environments. Powered by Wipro Intelligence™, it integrates Gemini Enterprise with Wipro’s AI-powered delivery platforms, WINGS and WEGA. This ecosystem allows organisations to transition seamlessly from basic task automation to embedding secure, autonomous AI agents directly into core, multi-step business workflows.
Alongside this, the commitment to enhancing skills for 10,000 AI-certified professionals signals a focus on building deep technical expertise. This includes a dedicated team of more than 1,500 certified FDEs who will combine Google Cloud’s expertise with Wipro’s consulting and engineering capabilities to scale AI adoption from pilot stages to enterprise-wide deployment.
| Initiative | Details |
|---|---|
| Partnership | Expanded collaboration with Google Cloud for Gemini Enterprise |
| AI talent | 10,000 AI-certified experts; 1,500 Forward Deployed Engineers (FDEs) |
| New framework | LIFT Framework introduced to operationalise agentic AI at scale |
Executive perspective
Kanwar Singh, Managing Partner and Global Head of Technology Services at Wipro Limited, highlighted the significance of AI in the company's future direction. "AI is foundational to how Wipro is shaping its future, driving innovation, transforming operations, and delivering differentiated value for our clients," he said.
Kevin Ichhpurani, President of the Global Partner Ecosystem at Google Cloud, noted the real-world value the collaboration delivers to enterprise customers. He stated that the demand for Gemini Enterprise signifies its efficacy in adding customer value and that integrating it into operations exemplifies how AI transformation leads to tangible efficiency gains.
Operational deployment
Wipro has deployed Gemini Enterprise as its central agentic orchestration platform, leveraging its advanced reasoning and long-context capabilities to build autonomous AI agents that streamline workflows across compliance, HR, and sales intelligence functions.
Additionally, Wipro has incorporated the Antigravity Command Line Interface into its software engineering ecosystem. This facilitates agentic workflows that aid developers in planning, coding, testing, and application modernisation, resulting in notable productivity improvements and significant reductions in post-production defects.
Historical Stock Returns for Wipro
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| -0.54% | -1.75% | -0.41% | -12.27% | -30.01% | -43.91% |
How might Wipro's LIFT framework influence the competitive landscape among other IT services firms adopting agentic AI solutions?
What are the projected ROI timelines for enterprises transitioning from basic task automation to autonomous AI agents using the Gemini Enterprise integration?
Could the upskilling of 10,000 experts alleviate or exacerbate the current global shortage of specialized AI talent in the near term?


































