A Malaysian financial institution
Financial Services
Low Code Workflow Automation Platform, Document AI
The bank faced significant operational challenges in handling the vast array of documents and information related to each phase of property development. Key difficulties included:
Manual Data Extraction:
The bank’s team was tasked with manually extracting critical data from thousands of billing documents. This included details such as billing date, builder’s name
billing amount, billing description and other essential data points tied to each phase of property construction.
Inconsistent Document Formats:
The documents were not standardized, varying in format, layout, and quality. As a result, extracting accurate information manually was time-consuming and prone to error.
Manual Data Entry:
After data extraction, the team manually entered the extracted information into the banking core system. This process was tedious, time-consuming, and error-prone, creating a significant bottleneck in the workflow.
To address operational inefficiencies, the bank collaborated with Quantic Solutions to implement an automated document processing solution using Document AI technology. The system automates data capture from billing documents, extracting key information such as billing dates, builder names, and amounts. This data is then mapped and exported into the bank’s core system, eliminating manual entry, reducing errors, and saving time. The AI-powered solution continuously improves its accuracy and adaptability by learning from incoming documents, enabling it to handle various formats and new document types over time.
This automation significantly enhanced the bank's operational efficiency, streamlining internal processes and improving service reliability for property developers. By providing faster, more accurate processing, the bank strengthened its relationships with developers and positioned itself to handle growing document volumes, supporting its expansion across Malaysia.
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