New Delhi, Apr 17 (CXO Media): Aurionpro Solutions has launched an AI-native trade finance platform, Fintra, targeting banks that are seeking to reduce delays caused by manual documentation and compliance processes. The move comes as lenders globally face persistent inefficiencies in trade finance operations, where paper-heavy workflows continue to dominate.
Trade finance remains among the most document-intensive banking functions, with data from the International Chamber of Commerce indicating that nearly 70% of submitted documents are rejected during the first presentation due to errors or compliance gaps. Fintra is designed to automate document checks, compliance validation, and risk scoring through specialised AI-based workflows, while allowing human review in high-risk scenarios.
Aurionpro said the platform integrates with existing banking infrastructure, including systems such as SWIFT messaging networks and general ledger environments. The company has positioned Fintra as a workflow layer that can sit alongside legacy systems rather than fully replace them, reflecting banks’ preference for phased modernisation rather than large-scale system overhauls.
The platform has been developed using the company’s in-house artificial intelligence framework and includes an auditable decision layer to track automated actions. Auditability and compliance tracking have become key considerations as financial institutions adopt AI tools in regulated environments.
The launch reflects a broader shift among mid-sized Indian technology companies toward building proprietary software platforms instead of relying primarily on outsourced services revenue. Firms such as Intellect Design Arena, Newgen Software, Nucleus Software, and Route Mobile have increased investments in domain-specific platforms across banking and digital operations.
Aurionpro plans to roll out Fintra through pilot deployments with banks across India, the Middle East, and Southeast Asia. The company is also exploring the extension of similar AI-driven capabilities into adjacent banking areas, including lending and supply chain finance, as demand grows for automation tools that can operate within existing regulatory frameworks.
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