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Latest InfoTech News, IT, Information Technology News | The HinduBusinessLine

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AI is powering zero-touch operations and automation: Comv...
2026-04-18 · via Latest InfoTech News, IT, Information Technology News | The HinduBusinessLine

A global mobility solution provider and a 100 per cent-owned subsidiary of Tech Mahindra, Comviva has partnered with the world’s leading telecom operators and enterprises and is now supporting them in their global growth objectives. The company, which played a key role in shaping the telecom revolution in the mid-1990s and early 2000s, is now ready to lead in other industries, such as retail and packaging, with a strong portfolio of solutions. Now, under Comviva 2.0, it is also shifting from scale-led growth to platform-led, value-driven expansion, with a clear ambition to double revenue over the next three years (to around ₹4,000 crore). In an interview with businessline, Rajesh Chandiramani, Chief Executive Officer, Comviva, also said that AI-led development is accelerating innovation cycles now through a combination of cost efficiency, agility, and revenue uplift. Edited excerpts:

Under your Comviva 2.0 strategy, how are you driving future growth, especially as legacy products like messaging and wallet mature?

Comviva 2.0 marks a deliberate shift from scale-led growth to platform-led, value-driven expansion, with a clear ambition to double revenue over the next three years. Our strategy is anchored on four priorities. First, platformisation—we are evolving from point solutions to integrated, AI-powered digital platforms that enable intelligent monetisation across customer journeys. Second, deepening monetisation of our installed base. While messaging and digital wallets remain strong and profitable, the next phase of growth lies in building value on top of these ecosystems. For instance, Yabx leverages transactional intelligence from wallet platforms to unlock digital lending opportunities for underserved consumers and small businesses. Similarly, our mobiquity Pay platform—processing over $400 billion across 7.5 billion+ transactions annually—continues to expand into new financial and enterprise use cases. Third, geographic expansion. We are accelerating our presence in high-value markets such as the US, Europe, and ANZ, complementing our strong footprint across Asia, the West Asia, and Africa. Finally, vertical diversification. We are extending telecom-grade capabilities into sectors like retail and logistics, where real-time, personalised engagement is becoming mission-critical.

What are the key challenges and growth barriers that your customers face?

Telecom operators today face three structural challenges. First, revenue stagnation. As connectivity becomes increasingly commoditised, operators are under sustained pressure on average revenue per user (ARPU) and must identify new digital revenue streams. Second, legacy complexity. Most operators run on deeply entrenched, fragmented systems built over decades. Replacing them outright is neither commercially viable nor operationally prudent, making transformation inherently complex. Third, capability gaps. The demand for AI and digital talent far exceeds supply, creating execution bottlenecks at a time when speed is critical. Our approach directly addresses these constraints. At the same time, we work closely with customers through co-innovation and capability-building models to bridge talent gaps. As telcos evolve into techcos, the need is not just modernisation, but agile monetisation, real-time engagement, and new digital business models. That is where we are enabling measurable impact.

Comviva has significant market share in digital wallets, Short Message Service Centre (SMSCs), and Business Support Systems (BSSs). Where do you see the biggest opportunity to expand market share further?

Our next phase of market share expansion is driven by three high-conviction opportunities. First, AI-native BSS transformation. As operators transition to digital service providers, there is strong demand for cloud-native, AI-driven BSS platforms. Second, enterprise engagement platforms. In messaging and APIs, the market is rapidly commoditising at the infrastructure level. Our focus is to move up the value chain—enabling enterprises with intelligent, programmable engagement platforms that deliver differentiated customer experiences. Third, geographic expansion into developed markets. Additionally, we are expanding into adjacent verticals such as retail and logistics, unlocking new revenue pools beyond telecom.

You highlighted retail and logistics as key growth verticals. What specific gaps are you addressing in these sectors?

In retail, the core challenge is not the lack of engagement channels, but the inability to orchestrate them effectively. Customer data remains fragmented, limiting personalisation at scale. We are addressing this by enabling unified customer intelligence and real-time decisioning, enabling retailers to drive higher conversion rates, stronger retention, and improved customer lifetime value. In logistics, the challenge is operational but rooted in communication inefficiencies. Our unified, real-time communication platforms enable context-aware engagement across channels, improving first-attempt delivery success rates, reducing cost-to-serve, and enhancing customer experience. We are effectively bringing telecom-grade scale and precision into industries that are still evolving digitally.

You outlined three areas where AI is being deployed—development, operations and customer engagement. Which of these is delivering the most tangible business impact today?

While AI is embedded across development, operations, and customer engagement, the most immediate and measurable impact is in operations and customer-facing use cases. In operations, AI is enabling a shift toward autonomous, zero-touch environments, where systems can predict, detect, and resolve issues in real time. This significantly reduces operational costs while improving reliability and scalability. In customer engagement, AI is driving real-time, context-aware monetisation. While AI-led development is accelerating innovation cycles, we are seeing clear near-term returns on investment in operations and customer engagement through a combination of cost efficiency, agility, and revenue uplift.