AI Case Study
Client post trade equity allocation automatically generated from client emails at UBS
Following completion of share trades the client will need to have the assets allocated across various funds. Typically they email this through to the UBS team who, historically, then manually allocated the relevant shares. This repetitive task has been replaced by machine reading and data capture on the emails.
Industry
Financial Services
Investment Banking And Investment Services
Project Overview
Emails flow into an automated process where machine reading is used to extract relevant data. This is then logged on to appropriate back office administrative systems.
Reported Results
Saves time by cutting a task that would normally take a person about 45 minutes to ~2 minutes. Frees staff up for other tasks like calling clients.
Technology
Function
Digital Data
Digital Data Management
Background
Post-trade paperwork is time-consuming and complicated with very little leeway for error given the sums, relationships and legal implications involved.
Benefits
Data