Hexaware expands upGrad partnership for global enterprise AI programs
Hexaware Technologies and upGrad Enterprise have deepened their partnership to offer global enterprise AI programs, moving beyond internal skilling to a joint go-to-market model. The collaboration features role-based AI training, executive labs, and coding centers aimed at accelerating client AI adoption. Recent execution includes a specialized program for a major banking client, highlighting sector-specific demand.
*this image is generated using AI for illustrative purposes only.
Hexaware Technologies and upGrad Enterprise have expanded their collaboration to deliver AI skilling and enterprise transformation programs for Hexaware clients worldwide. Announced on August 13, 2026, the initiative marks a shift from a previous vendor-buyer arrangement focused on internal workforce upskilling to a broader global go-to-market alliance.
Partnership evolution
The two companies previously teamed up to strengthen AI capabilities across Hexaware’s workforce, including enterprise-wide GenAI upskilling and the launch of the Agentic AI Academy. Under the new arrangement, upGrad becomes Hexaware’s preferred partner for enterprise AI capability development. The joint effort aims to address the growing demand for AI-driven solutions by integrating workforce readiness directly into client delivery strategies.
R. Srikrishna, CEO and Executive Director of Hexaware, stated that enterprise AI programs are increasingly constrained by execution capacity. He noted that clients need architecture, engineering, and business teams aligned to a common delivery agenda, a synergy that embeds workforce readiness directly into strategy.
Program offerings
The expanded portfolio includes verticalized AI learning tracks tied to industry use cases in Hexaware sectors. Key components of the collaboration include:
- Role-based Agentic AI programs for technical, business, and corporate functions
- Executive AI Innovation Labs and co-design workshops for C-suite leaders
- An AI-enabled Coding Center of Excellence with co-created experimentation environments
- Rapid prototyping and build-day formats as part of a joint AI playbook
Arushee Aggarwal, CEO of upGrad Enterprise, emphasized that enterprise skilling must influence how people make decisions, design solutions, and deliver work. She highlighted that the partnership allows both companies to build rigor into programs spanning executive priorities, engineering practice, and functional adoption.
Enterprise outcomes
The programs are designed to support enterprises in scaling their AI business and service lines. This includes upskilling Cloud Architects toward GenAI Architects roles and developers toward AI engineering capabilities. Technical leaders will learn to design data- and AI-first solutions, while business function teams will apply GenAI tools and low-code autonomous agents to automate workflows.
Beyond engineering outcomes, which aim to deliver approximately 30–40% faster releases, better code quality, and fewer bugs, the collaboration supports enterprises in scaling GenAI responsibly with stronger governance. Hexaware and upGrad Enterprise also plan to work with hyperscalers and AI-native venture partners.
Recent execution
Demonstrating the demand for these capabilities, Hexaware and upGrad Enterprise delivered a three-day AI training program in March 2026 for executives and senior engineering managers from a major banking client. This engagement reflects the growing need for enterprise AI capabilities across the financial services sector.
Historical Stock Returns for Hexaware Technologies
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| -0.82% | +2.49% | +0.64% | +1.47% | -21.30% | -25.27% |
How might this shift from internal upskilling to a global go-to-market alliance impact Hexaware's revenue mix and competitive positioning against other IT services giants?
What specific metrics will Hexaware and upGrad use to quantify the claimed 30–40% faster release cycles and improved code quality for their banking and financial services clients?
How does the integration of 'Agentic AI' into workforce training differ from previous GenAI initiatives, and what new risks or governance challenges does it introduce for enterprise clients?
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