World Finance Informs

Artificial intelligence is gaining a more specific role in post-trade operations, where the quality of underlying data can determine how effectively it is used. Rather than treating AI as a standalone automation tool, financial institutions are increasingly examining how it can work with trade records, reference data, settlement instructions, reconciliations and exception queues. The focus is shifting toward the operational foundations that allow AI to identify problems, understand their causes and support faster resolution. The need is particularly clear in post-trade, where a single transaction can generate information across multiple systems and participants. Trade details, account information, settlement instructions and...