NPCI Launches FiMI AI to Resolve UPI Payment Disputes

According to a company press release, NPCI launched FiMI on February 17 at the India-AI Impact Summit 2026. The organization stated the model was developed to address the limitations of general-purpose large language models in understanding the specific workflows of financial transactions. FiMI will power the UPI Help Assistant, handling tasks like transaction disputes, mandate lifecycle management, and responses to regulatory queries.

• Core Technology: Utilizes an agentic AI framework for multi-step reasoning to resolve payment issues (company claim).
• Training Data: Pre-trained and fine-tuned on Indian financial and synthetic payments data for domain-specific accuracy (company claim).
• Language Support: Initially supports English, Hindi, Telugu, and Bengali.
• Expansion Plan: The company plans to add more Indian languages within six to eight months.

The introduction of a dedicated AI for dispute resolution comes as NPCI manages billions of UPI transactions monthly, a volume that creates a significant challenge for grievance redressal. FiMI’s agentic framework allows it to perform a sequence of actions to investigate and resolve a user’s problem, rather than just providing a simple response. To support its claims, NPCI published a technical paper on the arXiv platform, detailing the model’s data curation, training methodology, and evaluation results, providing a degree of transparency uncommon in corporate AI launches.

NPCI has signaled a long-term development path for its AI capabilities. The immediate focus is on expanding language support to better serve India’s diverse population. Beyond that, the organization is reportedly researching more advanced model architectures, including Mixture-of-Experts (MoE), to enhance the model’s scalability and domain intelligence. The financial industry will be closely watching FiMI’s real-world performance and its ability to consistently and accurately manage disputes in a high-volume transaction environment.