Broadridge adds GenAI-powered analytics to improve multi-asset post-trade processing

New solution leverages generative AI and natural language interactions to provide instant reports, data visualisation and summaries.

Broadridge Financial Solutions has added a GenAI-powered analytics feature to its platform to bolster multi-asset post-trade processing and operational reporting.

The new GenAI-powered functionality allows users to generate insights and visualisation directly from their trade data using natural language, which the firm claims to eliminate 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,” said 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.”

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Part of Broadridge’s OpsGPT, the new solution leverages generative AI and natural language interactions to provide instant reports, data visualisation and summaries.

The new feature aims to reduce reliance on manual reporting, replacing it with an AI-driven analytics tool that supports multiple languages.

Broadridge described the analytics feature as being “instrumental” to international firms navigating evolving regulatory and market dynamics.

The solution also aims to allow current and prospective post-trade platform users across EMEA and APAC to better manage their operations and maintain compliance, alongside targeting pain points associated with faster settlement cycles and compressed margins.

“The feature underscores Broadridge’s data and AI strategy and commitment to innovating 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,” added Broadridge in a statement.

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