Persistent Systems Launched Workplace Risk Management and Fraud Detection, powered by . data bricks Data Intelligence platform. Solution helps financial institutions reduce fake Increase losses, detection accuracy, and reduce manual review effort through real-time, intelligence-driven decisions.
As digital payments scale, financial institutions, payment service providers, digital platforms and their end customers face increasing fraud, regulatory scrutiny and reputational risks. Traditional approaches rely on static rules and post-processing analysis, limiting early detection. It permanently transforms business risk management upstream to enable early detection, continuous monitoring and AI-driven action before losses occur.
Built on the Databricks Data Intelligence platform, the solution uses Agentic AI to perform multi-signal vendor review during onboarding, analyze business profiles, compliance history, trading patterns and external indicators to assess risk before trades begin. Once live, it continuously monitors transactions, chargebacks, and third-party signals in real-time to detect emerging fraud or compliance risks.
When risk signals are detected, the system triggers configurable actions such as advanced monitoring, watchlisting or transaction restrictions with full auditability and governance. Designed as a Databricks accelerator, it combines bulk and streaming data, vendor profiles, and external risk signals into a managed, real-time intelligence layer, enabling faster time to value.
The solution is expected to deliver measurable business impact, including:
- 20-40% reduction in chargeback and fraud losses thanks to early risk detection;
- 30-60% improvement in fraud detection accuracy using multi-signal intelligence;
- A 50-70% reduction in manual review efforts frees up teams for higher value research; And
- 10-20% reduction in risk management costs thanks to automation and streamlined workflows
“As transaction volumes grow and regulatory scrutiny intensifies, trading risk has become one of the most complex challenges for financial institutions, payment service providers and digital platforms.” Permanent Barath Narayanan in question. “Effective risk management now depends on the ability to transform data into intelligence and respond in real-time. Our work with Databricks allows us to combine scalable data processing with artificial intelligence to help financial institutions identify emerging risks earlier, improve decision-making, and strengthen merchant oversight across the entire lifecycle.”
“As payment ecosystems grow and regulatory scrutiny increases, business risk management becomes an intelligence-driven challenge.” Databricks’ josh meyer added. “Together with Persistent, Databricks helps financial institutions, payment providers, and digital platforms combine data at scale to gain real-time visibility across the business lifecycle. This approach enables earlier risk detection, sharper decision-making, and stronger, more flexible compliance in the rapidly evolving payments landscape.”
