Sonata Software Appoints Hariprasad Rebala as Chief AI Officer to Drive AI-Native Transformation

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Sonata Software has appointed Hariprasad Rebala as its Chief AI Officer to spearhead the company's AI-led business transformation. Rebala brings over three decades of experience from Gnani.ai, Forfend, and major IT services firms. His mandate includes building differentiated AI capabilities and translating AI investments into measurable business outcomes.

Sonata Software Strengthens AI Leadership with Strategic Appointment

Sonata Software announced the appointment of Hariprasad Rebala as Chief AI Officer, marking a decisive move in the company's transformation into an AI-native organization

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. This leadership appointment positions the IT services firm to accelerate its AI strategy across offerings, service delivery, platforms, capabilities, ecosystem, and partnerships

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. Rebala will lead Sonata's end-to-end AI-led business transformation, focusing on driving AI-driven business outcomes and AI-native delivery to help enterprises translate AI adoption into enterprise velocity and measurable business value.

Source: CXOToday

Source: CXOToday

Extensive Experience Spanning Startups and Enterprise Technology

Hariprasad Rebala brings over three decades of experience spanning IT services, enterprise technology, and the startup ecosystem to his new role

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. Most recently, he served as Chief of AI Solutions and Growth at Gnani.ai, a deep-tech AI startup specializing in voice technology

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. Before that, Rebala co-founded Forfend, where he helped build IoT and conversational AI platforms. His career includes senior leadership roles at Mindtree, Capgemini, and Wipro, where he scaled businesses, built industry practices, and led large transformation programs, particularly across Banking and Financial Services

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. This combination of AI startup agility and enterprise-scale expertise positions him uniquely to guide Sonata's AI evolution.

Building Enterprise Velocity Through AI Platforms

Rajsekhar Datta Roy, Chief Executive Officer of Sonata Software, emphasized that transforming into an AI-native organization is foundational to the company's growth trajectory

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. "Hari brings a unique combination of AI startup and IT services expertise, with deep context of enterprise-grade AI platforms and engineering, delivering to outcome-based models," Roy stated

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. The appointment significantly strengthens Sonata's executive team as the company rapidly transforms its operational model. Rebala's mandate centers on building differentiated AI capabilities and platforms with customers and partners, turning AI investments into measurable business outcomes and sustained competitive advantage

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From Experimentation to Fundamental Enterprise Value

Rebala articulated a clear vision for AI's role in enterprise transformation. "AI is rapidly moving from experimentation to becoming fundamental to how enterprises compete, operate and create value," he noted

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. He emphasized that AI alone will not define winners—rather, the ability to translate AI into enterprise velocity will separate leaders from followers. Sonata brings together AI engineering and modernization capabilities, deep industry expertise, and strategic technology partnerships to help clients make that shift at scale

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. This appointment forms part of Sonata's broader strategy to embed AI across its engineering, platforms, delivery model, and client solutions, signaling a comprehensive organizational shift rather than isolated AI initiatives.

What This Means for Enterprise AI Adoption

This move reflects a broader industry trend where IT services companies are moving beyond offering AI as a service to becoming AI-native in their core operations. For enterprises evaluating AI partners, Sonata's appointment of a dedicated Chief AI Officer with both startup innovation experience and enterprise delivery expertise suggests a commitment to translating AI solutions into tangible business results. Watch for how Sonata leverages Rebala's background in conversational AI and IoT platforms to develop industry-specific AI applications, particularly in Banking and Financial Services where he has deep experience. The focus on outcome-based models and enterprise velocity could reshape how clients measure AI investment returns, moving from technology deployment metrics to business impact indicators.

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