AvenuesAI accelerates AI-driven payment growth with new regulatory wins and platform innovations

AvenuesAI Ltd reports a 109% rise in quarterly revenue driven by AI-enabled payments and expands its global reach through strategic regulatory approvals and innovative transaction platforms, positioning itself for robust growth in FY27.

AvenuesAI Ltd has reported a sharp jump in quarterly performance as it pushes deeper into artificial intelligence-enabled payments and prepares to widen its regulatory and geographic reach. According to the company’s latest earnings-call highlights, consolidated gross revenue rose 109% year on year to ₹2,680 crore in the quarter, while profit after tax increased 45% to ₹85 crore. Transaction-processing volume also climbed 74% to ₹1,479 billion, with strength in utilities, government, retail, business-to-business and hospitality. The company said its cash generation is being channelled into new platforms rather than near-term earnings acceleration, a choice that helped keep reported net revenue slightly lower even as larger volumes flowed through the system.

The company’s regulatory progress is becoming nearly as important as its revenue growth. It said it has received in-principle approval from the Central Bank of the United Arab Emirates for a retail payment services licence, known as CAT3, while the Reserve Bank of India has authorised it to set up a payment system for prepaid payment instruments. Those approvals build on earlier regulatory wins reported in recent quarters, including permissions linked to prepaid payment instruments and cross-border payments, as AvenuesAI broadens its infrastructure beyond India. Management has framed the business as an AI-native transaction platform, a shift that has been visible since at least the company’s FY26 results, when it highlighted a move towards AI-led fraud detection, risk management and operating efficiency.

A central part of that strategy is PayCentral, which the company described as India’s first agentic payment platform built on Google’s agent payments protocol. Management said the product is still early in its commercial life, but sees it as a long-term play in which AI agents could help initiate, reconcile and audit transactions with less human intervention. The company also said it is building proprietary transaction-intelligence scores from payment data to improve reliability, identity and fraud detection, rather than investing heavily in data centres. It added that small language models, or SLMs, can support private, enterprise-specific AI use cases at lower token cost than larger models, particularly for institutions that need data to remain within their own environments.

Looking ahead, AvenuesAI has set FY27 guidance for consolidated revenue of ₹11,000 crore to ₹13,000 crore and earnings per share of ₹8.75 to ₹9.50 after its planned reverse split. Management said the flat earnings outlook reflects a deliberate decision to reinvest in AI, transaction intelligence and new distribution channels, rather than prioritising short-term margin expansion. The company is also progressing with asset-light credit partnerships, including arrangements with RatnaFin and Online PSB Loans, so it can expand into lending distribution without putting loan exposure on its own balance sheet. Rediff Pay is expected to move out of closed-user-group testing and into production this month, adding a consumer UPI payments line, while the planned merger of its Neuromind AI subsidiary is intended to speed up adoption and cut duplication.

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