How IDP can automate manual maker-checker process in document-heavy back end operations
How intelligent Document Processing Can Automate Manual Maker-checker Process In Document
Intelligent Document Processing (IDP) has been widely used in the last few years to automate various back-end processes in Banking, Insurance, E-commerce, Healthcare, etc. Right from simple KYC documents to complex unstructured handwritten documents, IDP can be implemented to automate document-heavy business processes across any industry.
Fig. 1 highlights some of the potential use cases of IDP in a few industries.
IDP companies have been favored over traditional OCR companies because of their ability to carry out a much larger chunk of operations using AI, ML & NLP and validate data for more accurate automation of both maker and checker processes. While OCR’s ability is restricted to data extraction, IDP solutions go way beyond to validate the extracted data and also support integration with downstream processes such as RPA.
What is the Maker-Checker process?
Let’s understand this by using a quintessential KYC onboarding use case in the Banking industry. When a customer wants to open an account with a particular bank, he/she has to submit a set of documents acting as proof of identity and address. Once the agent working for the bank receives these documents, he/she inputs the relevant information from the document, such as name, address, date of birth, etc. in the bank’s ERP/CRM system. This process is called the “maker” process, where a data entry is performed by a human agent from the physical document into the system.
The next step in the process is to validate the information provided by the customer. The bank agent will validate the information such as name, address, DOB, etc. across documents as well as on online government portals using APIs or manual search. Only if the data obtained from both processes match, is the customer’s onboarding application approved. This validation process is known as the “checker” process.
The “maker” and “checker” in a particular bank can be one or different agents depending on the size of the bank.
How does Intelligent Document Processing automate the maker-checker process?
The limitation with traditional OCR solutions is that it can only automate the “maker” process i.e. data extraction part, and it being template-based extraction if a new template is introduced, the solution needs to be re-trained on a new format. This is where Intelligent Document Processing (IDP) comes into the picture. IDP leverages Machine Learning (ML) and Natural Language Processing (NLP) along with OCR technology to automate not only data extraction (maker process) but also data validation (checker).
In the use case stated above, if IDP were to be implemented, then, once the customer submits the document to the bank, the IDP solution will extract relevant information from the documents. The IDP solution can extract data from either a PDF file, scan copy or image file of the document. Once the relevant data is extracted, IDP will use validation logic (which AmyGB terms as Triangulation logic) to validate the information. For example, once IDP extracts the name, address and DOB from each document, it will validate each character in every field across documents. Based on this, the solution will display a confidence score for the data validation and the bank can set a threshold score based on which the validated field can be termed as “pass” or “fail”. Another level of validation layer can be introduced to further improve the accuracy of results, that is using API validation. Once the “Triangulation” is performed, IDP can utilize various APIs to validate the authenticity of the documents. In the above case, the extracted information such as name, address & DOB for a particular document can be cross verified from trusted government portal databases prior to accepting the customer application.
Read how AmyGB helps a leading payment bank to automate the maker-checker process resulting in a significant reduction in Turn-Around-Time (TAT).
Benefits of Intelligent Document Processing in maker-checker process
For companies that deal with a huge influx of documents, manual processing becomes time-consuming and inefficient. Automating the maker-checker process helps companies to improve their efficiency, reduce the overall turn-around time and enable long-term cost advantage. Companies can also utilize the workforce for more productive, core-business tasks by simply automating the manual document verification processes. Many companies have witnessed significant improvement in customer experience and satisfaction after introducing automation to their back-end processes.
The last few years have witnessed a huge surge in demand for IDP solutions worldwide, across industries. Substantial benefits and ease of implementation of the solution have been key factors for organizations to move from traditional processing towards Intelligent Automation.
AmyGB is one of the leading Intelligent Document Processing companies capable of processing a variety of documents from structured-printed documents to unstructured-handwritten documents. It has received recognition as a progressive IDP company by leading market research reports for its strong product portfolio and excellent industry penetration. AmyGB’s VisionERA (IDP product) has been implemented across industries such as Banking, Insurance, Healthcare, Cash Management, etc. enabling excellent results and customer satisfaction.
In order to automate the maker-checker process of data collection, there is a need for an intelligent document processing solution that would automatically facilitate the collection and authentication process.
In case you’re wondering how IDP can help your organization improve process efficiency, quality, and customer satisfaction, feel free to talk to our IDP experts to help you embark on the automation journey.