Permata Bank’s Customer Stories with Fintelite AI
From hours to minutes: Permata Bank's internal team uses AI to extract financial statements data faster
Permata Bank is one of the top 10 largest banks in Indonesia and has been serving over five million customers through its corporate, commercial, and consumer banking services.
The Challenges
The internal departments of Permata Bank saw the need to improve their regular financial reporting preparation. As the volume of financial statements to process increased, several inefficiency problems started to disrupt their workflow.
Data from a large volume of financial statements had to be manually inputted to match the fields in their Excel reporting template.
The heavy reliance on manual data entry consumed excessive time and often slowed them down.
The process was hindered by repeated errors and data input mistakes, which caused more delays.
The Solutions
Addressing the bottleneck of manual financial statement processing, Fintelite introduces an AI-powered data extraction solution that significantly reduces manual effort and maximizes efficiency.
AI Data Extraction plugin for Microsoft 365, designed to automatically convert PDF financial statements to structured XLS in minutes.
Smart AI capability to extract data from financial statements in any layout and any format, without requiring additional training.
Pre-aligned XLS results tailored to their specific standard so that the teams don’t have to do double work.
The Results
Permata Bank’s team now has a more streamlined way to process financial statements. Reporting preparation involving bulk statements that once took weeks can now be completed in just days. With the shift from manual to automated data entry, they save more time, achieve faster progress on their tasks, and increase operational efficiency.
10X
Faster financial statement processing
Reporting from bulk statements done in days
30%
Lower operational cost
The Results
Permata Bank’s team now has a more streamlined way to process financial statements. Reporting preparation involving bulk statements that once took weeks can now be completed in just days. With the shift from manual to automated data entry, they save more time, achieve faster progress on their tasks, and increase operational efficiency.