The whitepaper titled “Impact of GenAI on Post-Trade Settlement in Investment Banking” analyzes the structural changes occurring across global post-trade operations as the industry moves toward shorter settlement cycles such as T+1. It reviews how leading firms and market infrastructures including US clearing corporations, major investment banks, Euroclear, Deutsche Bank, Murex and Broadridge—are embedding GenAI and machine learning into exception management, workflow automation and real-time reporting. The paper highlights how GenAI forms a cognitive layer that can interpret SWIFT messages, emails and PDFs, predict settlement failures, classify breaks and recommend faster remediation.
A core message of the document is that GenAI enables investment banks to shift from reactive, investigation-heavy processes to predictive and preventive settlement control. High-impact use cases such as SSI enrichment, anomaly detection and AI-generated operational commentary are outlined to show improvements in accuracy, scalability and resilience without additional headcount. It also addresses adoption challenges around hallucinations, data privacy, explainability and model governance, reinforcing that supervised and securely deployed AI is essential for regulatory acceptance.
Overall, the paper positions HCLTech as a modernization partner that helps institutions adopt GenAI confidently integrating AI into clearing, settlement and surveillance workflows while preserving core COTS platforms. It serves as an executive guide for capital markets leaders to understand the architectural evolution and practical roadmap for next-generation, AI-enabled post-trade settlement operations.
