Broadridge Financial Solutions has added an advanced analytics feature powered by generative artificial intelligence ( GenAI ) to its platform to better streamline multi-asset post-trade processing and operational reporting. The new functionality enables users to generate insights and visualizations directly from their trade data using natural language, eliminating the need for data migration.

“Integrating this AI advanced analytics feature into our post-trade platform delivers simplification and innovation, significantly improving risk management and operational efficiency, especially in response to growing regulatory demands,” says Danny Green, head of international post-trade at Broadridge. “The multilingual capabilities and seamless integration provide an accessible solution for broker-dealers and banks, allowing them to quickly access actionable insights without the complexity of traditional reporting tools.”

A key component Broadridge’s OpsGPT application, the new feature leverages GenAI and natural language interactions to supply instant reports, data visualization and quickly generated summaries in an intuitive and user-friendly interface. A key benefit of the new feature is its ability to reduce reliance on manual reporting, replacing it with an AI-driven analytics tool that supports multiple languages, including English and Japanese, with plans for Chinese capability in the near future.

The advanced analytics feature is helpful to international firms navigating evolving regulatory and market dynamics. By streamlining reporting tasks, the tool enables current and prospective post-trade platform users across Asia-Pacific as well as Europe, the Middle East and Africa to better manage their operations and maintain compliance, while addressing the challenges posed by faster settlement cycles and compressed margins.

New York-listed Broadridge says the feature underscores its data and AI strategy and commitment to innovation to enhance user productivity, capabilities and compliance. With faster and deeper data analytics, users can swiftly identify and rectify anomalies, employing predictive analytics to anticipate and mitigate potential bottlenecks, the fintech firm adds.