FiMI currently powers UPI Help Assistant, an AI-powered conversational support system for UPI users
National Payments Corporation of India (NPCI) today released FiMI (Finance Model for India), a domain-specific language model built for India’s payments ecosystem, at the India–AI Impact Summit 2026. Developed in-house by NPCI, FiMI currently powers NPCI’s UPI Help Assistant and is designed to address limitations observed in general-purpose large language models when applied to high-scale, high-trust payment workflows.
FiMI has been built to natively understand the complexity of Indian payment systems, including UPI, covering transaction dispute handling, mandate lifecycle management, and regulatory and ecosystem queries. The model went through continuous pre-training and was further fine-tuned on Indian financial and synthetically generated payments data, enabling accurate reasoning, structured tool invocation, and robust multilingual support. This payments-native design allows FiMI to operate reliably in real-world, high-volume transaction environments where accuracy, consistency, and trust are critical.
FiMI is already deployed at a national scale through NPCI’s UPI Help Assistant launched as pilot initiative, an AI-powered conversational support system for UPI users. This assistant leverages an agentic AI framework that enables multi-step reasoning to respond to payment related queries, support grievance redressal, and assist with mandate management. The assistant currently supports English, Hindi, Telugu, and Bengali, with additional Indian languages planned to be introduced within the next 6 to 8 months to further expand accessibility.
Having successfully developed and validated FiMI in a production environment, NPCI has released a detailed technical paper on the arXiv platform outlining the data curation process, training methodology, and evaluation results. This publication reflects NPCI’s role as a public digital infrastructure institution and its commitment to advancing transparent, India-centric, and trustworthy AI for the payments ecosystem.
Through this technical publication, NPCI is sharing key learnings from building and operating AI systems at a national scale, contributing to broader research and enabling informed development of domain-specific AI systems for financial infrastructure.
Commenting on the announcement, Vishal Kanvaty, Chief Technology Officer, NPCI said, “FiMI reflects NPCI’s commitment in developing financial language models purpose-built for India’s payments ecosystem. Having successfully built and validated the model, we are now sharing our technical learnings through a detailed paper to contribute to responsible innovation, while strengthening trust, transparency, and collaboration across the ecosystem.”
Building on FiMI, NPCI is exploring next-generation model architectures, including Mixture-of-Experts, alongside the expansion of multilingual capabilities to cover a wider range of Indian languages. These efforts are currently in the research and experimentation phase and are focused on improving scalability, efficiency, and domain intelligence, while preserving the governance, reliability, and trust requirements essential for national-scale payment systems.
The detailed technical paper can be accessed here.
