ioNova AI, an AI-native platform that converts unstructured payment address data into ISO 20022 messaging standard formats, today launched ioNova ARS, an address resolution service built to help banks, corporates and payment providers improve compliance, reduce payment friction and support SWIFT CBPR+, HVPS and SEPA readiness.With less than five months until the November 15, 2026 deadline, when the mandatory enforcement of structured postal addresses comes into force, banks and corporates have to act fast. After the deadline, any Single Euro Payments Area (SEPA) or cross-border payment sent with any unstructured address will be automatically rejected.Founded by Parth Desai, an industry veteran with 30 years’ experience delivering AI and natural language understanding solutions for banks across payments and compliance worldwide, ioNova AI was established to solve ISO 20022 address and other data quality challenges ahead of the SWIFT Cross-Border Payments and Reporting Plus (CBPR+) transition deadline. According to SWIFT, approximately 65% of payment messages globally still contain unstructured addresses, creating significant compliance and processing challenges under ISO 20022.Both corporates and banks are impacted. While the ISO 20022 compliance requirement sits with the banks, most data resides with the corporates. A banking partner can correct the corporate’s address, but not its counterparty addresses.ioNova ARS, a software-as-a-service (SaaS) solution, can convert free-text or unstructured payment addresses into ISO 20022-compliant structured or hybrid addresses (inbound and outbound) in a single API call in under 50 milli-seconds. ARS supports multiple integration methods out of the box and customers can get connected within days, typically going live within three to four weeks.Corporates can use ARS to resolve and fix address data in their ERP, treasury management systems or in pain.001 XML messages before sending the payment instructions to their banks. Banks can use ARS to offer data enrichment and pre-check as a service to corporate clients. They can help customers correct messages before submitting them to their banks through the ARS platform or correct the pacs messages in-flight while processing payments. This turns the November 2026 compliance requirement into a multi-year service line.Parth Desai, Founder and Chairman, ioNova AI, said, “Address data is the last mile of the ISO 20022 journey, yet the data flowing through the system remains unstructured. By automatically structuring address and payment data, we can truly leverage the new ISO 20022 pipeline for innovation, efficiency and compliance in payments. The real opportunity isn’t ISO 20022 itself – it’s what clean, structured data enables on top of it. This is a major milestone for the global payments industry and our chance to fix the data foundation, not just meet the deadline.”With ioNova ARS, customers can address ISO and financial crime compliance requirements today. At the same time, they can unlock three stages of compounding value from a single data investment: ISO compliance today, golden master data tomorrow, and an AI foundation beyond. This transforms a one-time obligation into a platform investment, increasing efficiency, accelerating innovation and drastically reducing operational costs by minimising false positives, exceptions and manual intervention.“For too long, the structured address gap has been treated as a messaging challenge, when the real issue has always been the quality and structure of the underlying data,” added Parth Desai, Founder and Chairman of ioNova AI. “We built ARS to resolve addresses at the source and to show its work at every step. That explainability is what lets a bank put its name behind the result. The industry is moving to hybrid addresses, and with that comes new risks that generic tools are simply not equipped to handle. ARS takes this a step further, giving banks a value-added service for clients while enabling corporates to send payment instructions that can be processed right the first time. Either way, the address is validated before it ever reaches the rail.” The net knock-on effect is that the data work done once to avoid rejected payments is the same data work that underpins compliance, operational efficiency and every meaningful AI initiative for the next decade.NoYesArtificial Intelligence17 Jun, 2026