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Pine Labs Invests ₹24 Cr In AI R&D In FY26, Cuts Testing Time by Over 95%

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Pine Labs Invests ₹24 Cr In AI R&D In FY26, Cuts Testing Time by Over 95%

In line with its bid to modernise its digital payments offerings, fintech major Pine Labs invested about ₹24 Cr on AI and research & development initiatives in the fiscal year FY26.

Over FY26, the fintech company invested ₹20 Cr in strengthening its AI capabilities, upgrading its technology infrastructure and automating customer-facing processes. 

It spent another ₹4 Cr on enterprise-wide technologies such as model context protocol (MCP), retrieval-augmented generation (RAG), among other AI-based automation tools.

In its FY26 annual report, the company outlined that it successfully deployed email AI agents as well as PineOne Chat AI Agent to automate customer support, an AI-powered scheme configuration tool to streamline offer enablement and an AI Virtual Employee platform for multi-functional agentic tasks.

“The company continued to invest in AI agents, customer-facing chatbots, Model Context Protocol-enabled self-service platforms and Retrieval-Augmented Generation-powered operational intelligence solutions,” the report added. 

The company claims that its investments have begun yielding results, with it reducing its software testing cycle times by more than 95%. Pine Labs further estimates that AI initiatives have now increased developer productivity by 25% and cut initial incident analysis time by 80%. This has helped autonomous AI agents shoulder the development of nearly 89% of all new code changes at the firm over the past two quarters, modifying more than 1.5 Mn lines of code. 

Beyond adopting AI for internal uses, Pine Labs also mentioned that it has launched some consumer and merchant facing AI tools, such as an autonomous agentic payments protocol, P3P, built atop of UPI.


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