How do you view the evolution of human-AI collaboration in finance, particularly for roles requiring complex decision-making and client relationships?
Richard Doherty, Wealth & Asset Management Leader at Publicis Sapient We don’ t see LLMs replacing human expertise in finance, but elevating it. Especially in complex decision-making and client advisory roles, AI becomes a trusted co-pilot: summarising information, highlighting risks or identifying unseen patterns, so human professionals can make faster, betterinformed decisions.
The most effective collaborations will come from reimagining workflows, not just adding AI into existing ones. When AI handles information synthesis and pattern recognition, human professionals can focus on relationship building, strategic thinking and the nuanced judgement that clients value most. This is particularly powerful in clientfacing roles, where AI can provide real-time insights during conversations, suggest personalised solutions based on comprehensive analysis, and ensure no relevant considerations are overlooked, all while preserving the human connection that remains central to financial services.
Richard Harmon, Vice President and Global Head of Financial Services at Red Hat This needs to be complementary with a range of tools that ensure not only transparency and explainability but that provide clear and concise methods of communication as part of any advisory role where decisions are deemed to be critical.
There is a wide range of tools that need to be developed and enhanced, but one approach that I find highly intuitive is to have an automated feedback process from human to machine that allows the LLM to learn from this interaction to improve the level of understanding and trust in the analysis.
Ultimately, for critical functions or decisions, there must be a mutually balanced engagement with a heavy dose of advisorybased limitations on the LLMs, where the outcomes can have critical implications for humans as well as society.
130 September 2025