KeyScreening is the solution that computerizes the examination processes for the credit card applicants of the credit card service providers on the basis of image systems and workflow systems to effectively perform the examination processes for the credit card applicants.
It is developed to fit for the examination processes for the credit card applicants as adopting Image/WorkFlo engine of FileNet. It computerizes all processes from receiving, distributing, supplementing, examining to managing the applications. Thus, it enables the rapid customer services and also customer services.
KeyScreening supports the examination by the direct conversation with customers as integrating CTI and supports the person in charge of examination to quickly and accurately make the decision as interlocking diverse data required for the examination.

When the companies process the examination for the credit card membership through the existing manual documentation system, the person in charge of examination for the credit card membership may have difficulties.

• Difficulty data acquisition required for examination such as personal credit data.
• Waste of time by comparing the originals with copies.
• Waste of time and manpower due to the manual distribution of documents.
• Vulnerability of security and management such as data leakage.
• Increase of cost due to the increase of document storage space.

When an insurer introduces KeyScreening of Keystone, it can reduce the cost for the application examination, improve the productivity and keep the data as its own asset. In addition, it also improves the customer services as restructuring the manpower organization.

• Improvement of Work Efficiency
  - Processing diverse data required for the examination.
  - Computerizing and systemizing the document distribution and delivery.
  - Increasing daily workload.
  - Improving customer satisfaction.
  - Increasing the customer services as interlocking CTI.



• Rapid customer services
  - Customizing the services.
  - Minimizing the complaints by the rapid work processing.



• Building Data Asset
  - Intensifying the customer services as accumulating the customer type data.
  - Building the work process data asset
  - Securing the foundation for the knowledge management.