A leading asset and investment manager with over $800 billion in assets under management faced high operational costs and inefficiencies tied to month-end processing. The team was burdened with manually intensive workflows that included ingesting structured and unstructured data, reconciling datasets, and performing complex financial calculations—activities that were not only time-consuming but also prone to human error.

To address these challenges, we designed and implemented an automation solution capable of handling over 90% of the month-end processing tasks. This included end-to-end automation of data ingestion (from both structured and unstructured sources), intelligent reconciliation, and automated execution of financial calculations. The solution was built with scalability in mind, allowing for rapid processing across large volumes of data.

The automation platform delivered over $6 million in projected annual savings by eliminating most manual touchpoints. The streamlined process significantly reduced turnaround times and enhanced accuracy in reporting, allowing teams to focus on higher-value activities while ensuring more consistent and timely financial close cycles.