Intelligence and Reconciliation Optimization in Investment Operations

This technical report discusses the optimization of intelligence and reconciliation processes within investment operations, emphasizing the importance of a measurement-led approach to automation. It outlines how organizations can enhance their automation initiatives by utilizing decision intelligence, which involves leveraging operational data and analytics to understand work execution and prioritize interventions. The report highlights the challenges faced by institutions in automating processes, including the tendency to automate based on available technology rather than operational data. It also examines a case study from CIBC Mellon, illustrating how decision intelligence informed the automation of reconciliation processes, aligning organizational design and technology to improve efficiency and control. The findings suggest that successful automation requires a systematic understanding of work performance and a focus on collaboration between human judgment and intelligent tools, rather than mere substitution of tasks. The report concludes that effective automation decisions are essential for achieving durable operational outcomes in the evolving landscape of securities services.