Persistent Systems has announced the launch of a Merchant Risk Management and Fraud Detection solution powered by the Databricks Data Intelligence platform.

The solution is designed to help financial institutions reduce fraud losses, improve detection accuracy, and minimise manual intervention through real-time, intelligence-driven decision-making.

With the rapid growth of digital payments, financial institutions and platforms are facing increasing risks related to fraud, compliance, and reputational damage. Traditional systems, which rely on static rules and post-transaction analysis, often fall short in early detection. The new solution aims to address this gap by enabling proactive risk management through AI-driven monitoring and intervention.

Built on Databricks’ platform, the offering leverages Agentic AI to conduct multi-signal merchant vetting during onboarding by analysing business profiles, compliance history, transaction behaviour, and external data sources. It continues to monitor transactions in real time to identify emerging risks.

Upon detecting risk signals, the system can trigger configurable actions such as enhanced monitoring, watchlisting, or transaction restrictions, ensuring full auditability and governance.

The company said the solution could deliver significant benefits, including a 20–40% reduction in fraud and chargeback losses, a 30–60% improvement in detection accuracy, and a 50–70% reduction in manual review efforts, along with lower overall risk management costs.

Persistent Systems, a global systems integrator partner of Databricks, has over 900 certified professionals and multiple accelerators on the platform. The solution is now available for deployment across banks, acquirers, and payment service providers globally.