Automation Use Cases
See how Document Imaging Group (DIG) has used Intelligent Automation and Robotic Process Automation to assist our clients.
Process Automation has so many uses. It can benefit nearly any company that struggles with tasks that are:
- High Volume
- Prone to human error/mishandling (sensitive data)
Though in some cases, yours will be a very specific need, there are many applications that are very relatable.
Explore just some of our success stories. From a variety of industries and a myriad of needs, DIG can find the right automation solution to help your business excel.
A multinational defense, security and aerospace company offering products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. This organization is the largest defense contractor in Europe and among the world’s largest defense companies.
This defense contractor was using the Ariba system for accounts payable (AP) that was out of date and rigid in its rules and structure.
Document Imaging Group (DIG) implemented an enterprise-wide AP automation system, including six individual lines of business connected and operating under different rules.
DIG used automation technology to replace the entire Ariba system with a custom, flexible AP solution. They were able to achieve 90% automation of all AP.
International investment bank and one of the oldest financial institutions in the United States, with a history dating back over 200 years. This organization serves millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients. As a leading investment banking, they offer financial services for consumers, small businesses, commercial banking, financial transaction processing and asset management.
This bank’s Payment Connect line of business (LOB) was using manual entry to complete a large volume of transactions. They had to use vast employee resources to meet the stringent turnaround time in their service level agreements (SLAs).
DIG utilized its expertise in intelligent automation advanced cognitive capture. They created an automated process to help reduce overhead. As a part of the requirement, DIG was able to invoked the bank’s native user interface and integrate it into their solution to create a seamless process for data entry and validation.
The bank was able to use existing assets in conjunction with DIG validation software that made correction of extracted data quick and easy. This allowed the bank to significantly reduce the amount of time and work force spent on these transactions. This ultimately resulted in increased ROI and the ability to repurpose staff to higher-level tasks.
Among the top U.S. commercial property casualty and personal insurance companies in the United States, this insurance company has been around for more than 160 years. They have a reputation as one of the best property & casualty insurers in the industry. A leader in personal, business and specialty insurance and the only property casualty company in the Dow Jones Industrial Average. They employ approximately 30,000 FTEs and 13,500 independent agents and brokers in the United States, Canada, the United Kingdom and Ireland.
The company’s Canadian claims operation was using 100% manual tasks to process claims. With the large volume of transactions being processed daily, this was not scalable. The staff that was on hand to perform these operations were not sufficient for to volume of transaction. This caused them to have to pull in additional individuals from other departments to help. The result was poor performance, slow turnaround times and an inability to complete assigned tasks.
DIG implemented intelligent automation and document management to automate this end-to-end process and reduce the manual effort significantly. The solution was able to extract information from 13 claim forms and enter that information into the appropriate system of record with little to no human interaction beyond simple validation. DIG used Optical Character Recognition (OCR), classification and Robotic Process Automation (RPA) technologies to identify a document that comes into a client’s system, extract the necessary information and automatically entered it into the system of record.
This increased productivity and speed of claims processing. The solution deployed was able to achieve 95% accuracy in extraction and allow for straight-through processing. As a result, the claims operation was able to reduce manual labor by over 60%. Not only was the claims operation able to become self-sustained without the need to pull staff from other departments, but their claims are now more accurate and staff is able to concentrate on higher level tasks, such as customer interactions.
International bank with strong European roots and a global network. This client has corporate, private and investment arms with a focus on asset management. With a strong presence in Europe, this bank is continuously growing in North America, Asia and key emerging markets.
Due to the amount of manual tasks involved and the level of internal compliance required, the bank’s clear to close time for mortgage processing was well over 45 days. This was resulting in a negative reputation and loss of clientele on both the residential and commercial mortgage front.
DIG was able to automate the majority of the mortgage process. The solution implemented took common mortgage documents (W-2s, tax returns, financial statement etc.) auto classified them performed OCR extraction on key fields, and populated the mortgage application as needed. A task was then activated to have a RPA bot reach out to various verification agencies to ensure the information was correct. When complete, a knowledge worker was prompted to review all of the collected materials, ensure feasibility and move the application to underwriting for final approval and clear to close.
Clear to close time has significantly reduced and the banks reputation has improved. The total turnaround time for a residential mortgage reduced from over 45 days to under 30. The new automated solution has freed up workers from performing manual data entry and enabled them to perform different, higher-level thinking tasks to help improve the customer experience and overall productivity.
Ready to implement Intelligent automation for your business?