A Tier-1 global bank operating in 90+ countries faces challenges in timely book close and generating accurate reports. The CFO department...
Banking Use Cases
The banking industry is constantly evolving, and banks are always looking for new ways to improve their operations and provide better service to their customers. Data and AI technologies are playing a major role in this transformation, and there are a number of use cases where these technologies can be used to improve banking operation.
The Use Cases, spanning various areas of banking operations, demonstrate the tangible benefits of implementing
data and AI technologies in the industry.
The bank aims to enhance operational efficiencies by reducing the Full-Time Equivalent (FTE) footprint associated with manual matching of Open Items...
Due to increased trade volume, the Danish bank wants to build an Accounting Hub responsible for creating accounting entries and posting information...
Regulatory pressures dictate that the overall data strategy of the bank be reviewed. The German arm of a UK bank needs to ensure compliance with data governance...
A tier 1 bank needs to establish a robust data flow and information architecture for the intercompany process...
The bank aims to add value to customers in all their interactions by understanding and meeting their needs through products, processes, and services...
The bank faces challenges due to manual processes and a lack of standardization in invoice processing, leading to delays in payouts...
The bank faces the challenge of retrieving information from US tax documents and automating the capture and review process...
The bank faces the challenge of retrieving information from the account opening form and KYC (Know Your Customer) documents provided...
The bank faces the challenge of fragmented and manual processes, leading to poor controls and compromising the integrity of financial statements...
The bank aims to establish a Command Control Tower for its Automation Center of Excellence (CoE) to centralize and...