The whitepaper titled “Transforming Custody Operations with GenAI” explores the tangible impact of GenAI on the high-volume, exception-driven world of custodian banks. Using industry references from institutions such as BNY Mellon, JPMorgan, Northern Trust, State Street and Citi, the paper demonstrates how GenAI, machine learning and NLP enable intelligent reconciliation, automated processing of unstructured asset-servicing notices, predictive settlement insights, and faster client servicing. It frames GenAI as a practical enabler for improving Straight Through Processing (STP), lowering operational risk and enhancing decision-making across core custody operations.

The paper also maps key custody pain points—manual exception handling, fragmented data, email dependency, and rising cost pressures to relevant HCLTech AI accelerators, showing how pre-built solutions can speed up time to value. Implementation challenges such as hallucinations, data privacy, explainability and model governance are addressed with a balanced perspective, emphasizing the need for RAG-based grounding and secure deployment models in regulated environments.

Overall, the document serves as an executive-ready guide for custody and post-trade leaders to understand where GenAI fits, what outcomes can be measured, and how HCLTech can help custodians transition to intelligent, predictive and automated workflows without disrupting core platforms.