Hexaware and upGrad double down on agentic AI skilling — is this the next big IT services differentiator?

Why is Hexaware Technologies focusing on agentic AI as the next frontier in enterprise transformation?

Hexaware Technologies Limited (NSE: HEXT, BSE: 544362), a global IT services and business process outsourcing provider, has announced a major workforce transformation initiative by partnering with upGrad Enterprise to launch the Agentic AI Academy. This marks the beginning of Phase 2 of its AI adoption journey, following two years of intensive generative AI skilling. As of August 2025, Hexaware reported that 95 percent of its employees worldwide had received training in generative AI fundamentals and advanced applications.

The launch reflects a strategic shift toward agentic AI, where autonomous software agents capable of planning, acting, and adapting in real time are set to redefine enterprise operations. Unlike earlier automation programs, agentic AI emphasizes dynamic collaboration between machines and humans, pushing enterprises to adopt new ways of designing processes and engaging with clients. This shift is not only about technical evolution but also about cultural readiness, as workforces across industries must adapt to new modes of interaction with AI-driven systems.

For Hexaware, the move also underscores its competitive positioning within the global IT services market. As rivals like Tata Consultancy Services, Infosys, and Cognizant deepen their AI offerings, Hexaware is signaling that it intends to build a distinctive edge by focusing on agentic capabilities, a segment many analysts consider to be the “next growth frontier” for digital transformation providers.

How does the agentic AI academy aim to build specialized enterprise-ready skills?

The Agentic AI Academy will serve as a large-scale skilling hub, offering structured and role-based learning paths designed in collaboration with upGrad Enterprise. Unlike traditional AI training programs that focus on theoretical foundations, this academy integrates real-world application and outcome-based delivery. The curriculum spans three core streams:

Builder.AI is aimed at engineers and developers responsible for building agent architectures from scratch, with an emphasis on orchestration, safety protocols, and tool integration. Collaborator.AI caters to professionals tasked with adapting and customizing agent frameworks for specific client contexts, often leveraging open-source or third-party platforms. Manage.AI is designed for delivery managers and operations leaders, focusing on the oversight of human-agent collaboration, quality assurance, and real-time monitoring.

Each learning track combines coursework with applied labs and certifications, ensuring that learning outcomes translate into workplace capability. The training is embedded directly into employees’ work environments through upGrad’s enterprise platform, allowing continuous upskilling without disrupting day-to-day responsibilities. This delivery model mirrors the “learning in the flow of work” philosophy increasingly adopted by enterprises that require both scalability and flexibility in their training frameworks.

What does institutional sentiment suggest about Hexaware’s AI skilling strategy?

Institutional investors have generally welcomed Hexaware’s commitment to agentic AI skilling as a strong forward-looking signal. Many market observers note that enterprises procuring digital transformation services are increasingly prioritizing vendors that can demonstrate not just technology capability, but also workforce readiness at scale. By building a dedicated academy, Hexaware is reducing execution risk in AI engagements while positioning itself as a partner capable of deploying “agent-ready” teams immediately.

Analysts also highlight that Hexaware’s decision to make this program company-wide, rather than targeting a small leadership cohort, suggests a democratization of AI skills within the organization. This could enhance internal productivity while boosting external confidence among clients evaluating AI outsourcing partners. For investors, this provides visibility into a potential pipeline of higher-value, AI-driven contracts.

Still, some caution remains. With Hexaware’s price-to-earnings ratio at 135.74, valuations already reflect significant growth optimism. Market participants will be watching closely for revenue acceleration directly attributable to agentic AI engagements before assigning further premium multiples.

How does Hexaware’s move align with broader enterprise AI transformation trends?

The global IT services sector is undergoing a profound shift, with agentic AI being identified as one of the top transformative technologies for the remainder of the decade. While generative AI brought sweeping automation in content creation and code generation, agentic systems are poised to reconfigure entire workflows — from supply chain optimization to financial services risk modeling and healthcare patient monitoring.

Hexaware’s academy fits neatly into this macro-trend. By launching a program that spans developers, integrators, and managers, the company is addressing the full lifecycle of enterprise agent adoption. This positions Hexaware to offer “end-to-end” services that cover building, deploying, and managing intelligent agents at scale.

Sector-wide, Indian IT services providers have been racing to differentiate themselves in AI. Tata Consultancy Services has invested in proprietary AI frameworks, Infosys has deepened its Topaz AI offerings, and Wipro has emphasized AI consulting engagements. Hexaware’s strategy, however, highlights workforce transformation as its key differentiator — betting that clients will value a company where agentic fluency is spread across the organization, rather than concentrated in specialized silos.

What does the stock market performance suggest about investor confidence in Hexaware’s transformation?

As of August 19, 2025, Hexaware’s shares were trading at ₹738.55, up 1.27 percent from the previous close of ₹729.30. The stock has posted a 52-week high of ₹900.00 and a low of ₹590.30. The current valuation reflects investor confidence in the company’s AI-led growth strategy, though it also indicates limited margin for error.

Trading volumes, while moderate, have shown consistent participation from institutional investors. Market watchers believe that Hexaware’s focus on agentic AI skilling could serve as a near-term catalyst for sentiment, but they caution that execution on client-side engagements will be critical. Without demonstrable revenue streams linked to agentic projects, valuations may face pressure despite positive headlines.

What is the outlook for Hexaware’s agentic AI-driven growth trajectory?

The Agentic AI Academy is expected to roll out to a majority of Hexaware’s delivery and engineering teams in the coming months. The company has already begun onboarding participants into live agentic assignments, demonstrating early conversion of training into practical deployment. Analysts argue that this could accelerate Hexaware’s ability to compete for higher-value contracts in industries such as banking, retail, and healthcare, where agentic adoption is emerging fastest.

Looking forward, the success of the program will likely be judged on three fronts: internal efficiency gains, client contract wins linked to agentic capability, and sustained employee adoption. If Hexaware can align outcomes across these dimensions, the academy could become a model for AI workforce transformation in the IT services sector.

For institutional investors, the academy also provides a measure of de-risking. By ensuring its workforce is aligned with the latest technology evolution, Hexaware is reducing the lag time between client demand and delivery capacity. This positions the company to move quickly on opportunities in a market where speed to scale often determines market share.