Blog

This article explores how artificial intelligence is transforming Anti-Money Laundering (AML) practices in the banking and payments industry. It explains how AI and machine learning improve compliance by reducing false positives, automating transaction monitoring, and detecting complex fraud patterns in real time. As regulatory pressures and financial crime risks increase, AI-powered RegTech solutions offer banks and payment providers a more efficient, scalable, and accurate approach to AML. The article emphasizes that integrating AI into a broader compliance and innovation strategy is essential for long-term resilience and trust in digital finance.

This guide explains how chargebacks are costing high-risk merchants millions through fraud, disputes, and operational inefficiencies. It outlines key risk areas, like digital goods, subscriptions, and crypto - and provides actionable prevention strategies, from clear billing to advanced fraud tools. It also highlights avoided.io’s solution for real-time fraud detection and automated dispute handling, with case studies showing major reductions in chargebacks and recovered revenue.

India’s fintech sector is booming, but RBI regulations are evolving fast. From LSPs, PAs, TSPs to P2P lending, compliance is key to avoiding penalties and ensuring long-term success. Many fintechs unknowingly operate outside the legal framework—don’t be one of them!