As electronic trading expands, many desks are moving from discretionary routing decisions to clearer, rules-based execution frameworks. Separating low-touch from high-touch flow and defining when and how to trade can improve discipline and reduce variability in outcomes. 

This session will explore how trading desks are designing and refining systematic execution frameworks, aligning protocol choice, counterparty selection and trade sizing with predefined rules to reduce variability and strengthen performance across market conditions. 

This session will examine how firms are integrating AI decision-support tools into trading workflows. From AI-powered trade preparation and liquidity analysis to real-time execution support, panellists will discuss how traders can use AI to improve decision-making without losing control of the execution process. 

This panel will explore how trading desks are reassessing counterparty strategy, refining block execution approaches and stress-testing protocol selection. By formalising liquidity frameworks, desks can improve consistency of execution when market conditions become challenging.