

Taming corporate actions: how AI can bring clarity to a fragmented market process
AI and corporate actions
Corporate actions are a vast but largely invisible layer of the financial system. More than 60 event types exist globally, and close to one million corporate action events are processed each year. Each event generates multiple records, messages and interpretations as it moves across the custody chain, from issuer to investor.
That scale comes at a cost. Industry estimates suggest that inefficiencies in corporate actions processing amount to USD 58 billion annually. Leading data providers manually validate millions of data points each year, underlining how fragmented and labour-intensive the process remains.
At the same time, the shift to shorter settlement cycles is compressing timelines. In Europe, the move from T+2 to T+1 (in October 2027) will reduce processing windows by as much as 80%. This turns many corporate actions into time-critical, exception-driven workflows where delay quickly translates into fails, claims and liquidity risk.
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