Agentic AI is here: Get a seat on the bus or go under it

 

Agentic artificial intelligence has moved swiftly from proofs-of-concept to live production environments across the capital markets, providing systems with the ability to learn, reason and act. By doing so, it measurably impacts operational workflows. The technology is especially adept at enhancing firms’ reconciliations and exception management functions by reducing manual effort, accelerating resolution cycles, improving data quality and helping to lower operational risk.

Firms establish the business case for cost savings, error reduction and improved settlement efficiency, as well as avoid fines on missed service-level agreements. At the same time, the regulatory implications center on governance, model transparency and auditability, and the controls firms need to implement to ensure humans remain accountable for all critical decisions.

What is clear is that agentic AI is here to stay. How firms and practitioners use it and the extent to which they embrace it will define their futures.

Key discussion points:

• The benefits firms can reasonably expect from implementing agentic AI technology to help manage their reconciliations and exceptions functions across the enterprise
• The challenges/hurdles they need to address, including internal pushback, when looking to deploy the technology
• The issues firms tend to underestimate in terms of complexity when rolling out agentic AI to support their reconciliations and exception management functions
• The regulatory implications associated with implementing agentic AI to support back-office business processes.

 

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