This report explores the challenges that investment banks face in utilising AI solutions across four of the most important and current use case categories:
- Buy & Build Trade Automation Solutions AI Use Cases;
- Financial Crime Prevention Solutions AI Use Cases;
- Intelligent Automation Solutions Use Cases; and
- Post-trade Automation Solutions AI Use Cases.
To assist in overcoming these challenges, this report also presents a GreySpark-developed framework to support AI applications use case ideation processes within investment banks such that they can be qualified before they are fully developed to maximise the potential of a successful implementation or integration effort.
