Implementation and Calibration of Fircosoft Continuity – One of our banking customers migrated their payment filtering solution to the last version of Fircosoft. We calibrated the software (business rules and scoring) in order to lower the rate of false positives that were higher than the industry’s average.
Calibration of Bridger XG – One of our banking customers was implementing Trade360 (from CGI) as a trade finance platform. We were asked to calibrate Bridger XG, which is embedded into Trade360, in order to make sure that the filter’s behaviour would match the risk appetite of the CAMLO.
Implementation and Calibration of Fircosoft Trust – In the context of the new regulation around domestic PEPs, one of our banking customers migrated their customer filtering solution to the last version of Fircosoft. We were asked to review the entire filtering process, including data sources, risk scoring mechanisms, processes and procedures, fuzzy matching algorithms, matching scoring, and business rules for auto-closing of alerts.
Filtering solution selection and implementation – One of our insurance industry customers was ready to upgrade their customer filtering solution. We were mandated to develop a benchmarking methodology in order to assess the different solutions available. This methodology evaluates the capacity of each solution to match the risk appetite of the CAMLO.
Calibration of Fircosoft Trust – One of our banking customers’ filtering operations were suffering from a massive number of false-positive alerts. We reviewed their process and implemented a segmented filtering model based on the different risks they were facing. After tuning these filtering models, false-positive alerts went down drastically.