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From manual SSIs to T+1 readiness: How AI is reducing settlement risk

 

The panel

Dougie Mcclumpha, Head of strategy and innovation, Regulatory and Compliance Solutions, S&P Global Market Intelligence

Bill Meenaghan, CEO and founder, SSImple

Tiina Winnan, Head of equity distribution operations, Deutsche Bank

Moderator: Victor Anderson, Global content director, WatersTechnology

As the capital markets move toward T+1 and even T+0 settlement cycles, manual processing of standard settlement instructions (SSIs) continues to be a critical area of operational risk for market participants. With regulatory mandates from the US Securities and Exchange Commission already on the statute books and compressed timelines due to be implemented across the UK and European capital markets in late 2027, firms have no choice but to address inefficiencies that lead to settlement delays, errors and failures.

This webinar explores how artificial intelligence-driven data extraction, automated validation and secure authentication can transform SSI workflows across the industry. Discover how the industry is tackling settlement risk through end-to-end automation, enhancing operational resilience, improving client experience and future proofing for T+1 and beyond.

Key discussion topics:

  • Why manual SSI processing remains a leading cause of settlement failure in a T+1 environment
  • How AI and machine learning technologies can streamline SSI data capture, validation and authentication
  • The build-versus-buy considerations for firms when planning to operate in a T+1 environment
  • Preparing for the future of trade settlement and moving to an “atomic” T+0 framework

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