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Wibmo Introduces AI Assistant for Financial Crime Operations

Wibmo has launched an AI-powered platform, the Agentic Risk Intelligence Assistant (ARIA), designed to support financial institutions' fraud, AML, KYC, and dispute operations. It combines AI analysis with human decision-making.

19 June 2026
Wibmo Introduces AI Assistant for Financial Crime Operations
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MUMBAI, INDIA – Wibmo has unveiled its Agentic Risk Intelligence Assistant (ARIA), an AI-powered platform aimed at enhancing financial institutions' operations in fraud detection, Anti-Money Laundering (AML), Know Your Customer (KYC), and dispute management.

The platform is designed to assist risk teams at banks and payment service providers by integrating AI-driven analysis with human oversight and accountability. Wibmo claims ARIA can reduce investigation times by over 70% and achieve recommendation accuracy close to 90%, enabling teams to process more cases per full-time equivalent employee daily.

ARIA consolidates data from transactions, risk models, customer and merchant history, linked transactions, and historical fraud patterns. It utilizes frontier AI models to generate evidence-referenced verdicts, identify emerging patterns through multi-signal reasoning, and provide transparent, auditable recommendations. The system also facilitates SOP-driven resolutions and customer communications.

Shailesh Paul, CEO of Wibmo, stated that ARIA is built to help institutions scale intelligently amidst increasing complexity and resource constraints. "While AI agents assist with data analysis and recommendations, every critical decision continues to remain firmly under human control," he said. The platform maintains a governance-first architecture, ensuring all recommendations undergo existing approval mechanisms with transparent reasoning chains and audit trails.

The launch occurred at Wibmo's flagship industry event in Mumbai, 'Securing Digital Payments: Innovation, Intelligence & Trust.' The event gathered over 50 senior leaders to discuss evolving challenges in digital payment security and the future of AI-led fraud prevention.

Original source: acnnewswire.com