Mid-tier information technology (IT) firm Happiest Minds Technologies on March 26 outlined a ten step agenda that will drive double-digit growth in fiscal years 2026 and 2027.
The company's leadership team, including founder, chairman and mentor Ashok Soota and the newly appointed chief executive officer Joseph Ananthraju said the agenda includes generative AI, vertical specialisation, targeted account expansion, among others to wade through the challenging IT industry environment.
“We expect to deliver healthy double-digit organic growth, not just in FY26 but also in FY27 due to the momentum we are building up through our 10 strategic transformational changes,” Soota said at a press conference in Bengaluru.
“We recognize the challenges posed by AI-driven productivity gains," said Ananthraju. "Our initiatives are specifically crafted to address market disruptions and create new growth opportunities."
Going forward, the company will focus on initiatives such as developing a specialised sales team focused on high-potential accounts, creating a separate business unit for its Artha banking platform, and expanding private equity and Global Capability Centre (GCC) practices.
The Bengaluru-based company believes this will enable them to convert smaller accounts into significantly larger revenue streams.
Despite industry concerns about AI potentially impacting traditional business models, Happiest Minds sees the technology as an opportunity for acceleration and value creation.
"Customers want to… see how they can get more revenues optimise their own operations cost. So my belief is that there will be some budget optimisation, and there'll be quite a bit that customers will put onto the plate, saying that, let's get there faster, let's do more," Ananthraju further added.
The company's confidence comes from its track record of consistent high growth and successfully integrating of acquisitions without margin dilution.
The generative AI business unit has already generated new revenue streams, and the verticalisation strategy is helping it with more targeted market approaches.
Meanwhile, chief financial officer Venkatraman Narayanan highlighted the importance of understanding the economic metrics of AI implementation.
He said that current AI tools like copilot are expensive and may not immediately translate to productivity gains. "We're taking a measured approach, recognizing AI's potential while remaining pragmatic," he explained.
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