GMAIST Automation ML SLDC
The Client’s GMAIST Team (Global Medical Affairs International) were using the Global Content Management and Approval (GCMA) system to manually manage the review and approval of material based on the various quality parameters. This consisted of 600-3800 transactions annually which was time consuming.
An ML model was created to assist GMAIST process that involved human judgment. It was aimed to examine the promotional claims and reference pairs and suggest if they corresponded or not. These suggestions were then provided to a GMAIST reviewer to accelerate their review of claim-reference pairs.