Aurionpro introduces domain-focused enterprise AI model for banking operations

Aurionpro has launched AurionAI, an enterprise AI platform built for banks and financial institutions. The platform focuses on operational, regulatory, and data requirements unique to the sector, reflecting the broader industry shift from generic AI tools to systems built around financial workflows and compliance needs.

The platform brings together an engineering stack with banking-ready models, data structures, and workflows. Its design supports the development and deployment of AI across core areas such as lending, risk, payments, and liquidity. The intent is to help institutions shift from limited AI proofs of concept to production systems that fit existing controls and oversight processes.

At the center of the system is an Enterprise AI Framework comprising five layers. The application layer provides a unified interface for interacting with agents and systems. The orchestration layer manages multi-step processes across enterprise platforms. The model layer incorporates large language models, fine-tuned models, and predictive engines. The knowledge layer embeds domain semantics and data lineage. The data layer offers connectors to major banking systems, allowing AI to run on top of existing infrastructure. This framework is delivered by Arya.ai, which focuses on high-volume, high-value banking operations.

Banking intelligence is integrated directly into lending and transaction banking platforms. In lending, the system supports underwriting, credit memo preparation, and collateral analysis. In transaction banking, it enhances payments, liquidity, and trade workflows by embedding AI into day-to-day operations.

Technical work is supported by Lexsi Labs, which focuses on model interpretability, alignment, and scaling for regulated environments. Its research includes interpretability methods and foundational models for structured data tasks. These components are intended to provide financial institutions with clearer oversight and operational control when deploying AI in production environments.

“By aligning AurionAI’s  Enterprise AI Framework, Applied AI capabilities, Banking Intelligence, and breakthrough foundational technology from our global R&D centres under a single, domain-led vision, Aurionpro aims to demonstrate that India can build a world-class deep banking AI engine that is both ambitious and credibly deliverable,” said Ashish Rai, Group CEO, Aurionpro.