A startup pharmaceutical company struggled to identify doctors and healthcare professionals who had authority to prescribe its medications. These prescribers operated across several states.

However, the company could provide product samples only in states where prescribers legally held prescribing rights. If the company failed to comply, it faced significant financial penalties.

At the same time, the prescriber data lacked structure. It did not clearly show the states where the company could sell products or distribute samples. As a result, sales and compliance teams lacked visibility.

GainOps cleaned and structured the data to solve this issue. In addition, the team designed dashboards that allowed the startup to quickly verify where it could sell products and distribute samples.

Because of these improvements, the startup increased sales while reducing compliance risk.

Various teams calculated month-end sales commissions manually. Different systems stored the required data, which created silos instead of a unified enterprise view. As a result, commission calculations took longer and produced significant errors.

The company previously attempted to fix the process. However, the team that built the original system had already left, which stalled progress. Consequently, sales partners grew increasingly frustrated due to repeated calculation mistakes.

GainOps redesigned and streamlined the entire commission process. The solution reduced calculation time and eliminated errors. In addition, the business recovered its investment quickly.

By correcting major mistakes - such as paying full commission amounts to each rep and partner - the company properly divided commissions between the appropriate parties. As a result, the organization improved accuracy, restored trust, and increased overall efficiency.

Banks must comply with the new Current Expected Credit Losses (CECL) accounting standard. It requires banks to estimate expected losses over the life of loans. GainOps designed and deployed a comprehensive solution. It included automated data collection and integration, an interactive front end, and reports. The solution let bank officers select loans for analysis. They could group loans by criteria and method. They could also generate reports that describe credit loss risks. As a result, audits became easy and quick. The bank sharply reduced operational costs and even increased revenues.