Reduce the number of times a document is handled resulting in messing it up at the best or losing it at the worst. Auto-extract details from contracts and claim submissions and store them in contract management systems for cloud-based ECM for a centralized online access. Digitize documents received in fax and snail mail and line them for further access and processing.
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Digitize, auto-review, auto-categorize documents and hard copies received as claims and store them digitally for further processing.
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Data collection is an important part of insurance business which faces hurdles due to manual processing, reduces accuracy and speed. Use intelligent document processing to improve accuracy, consistency, and compliance during data collection and collation in a secure digital environment. Increase speed of execution and hence the customer satisfaction by manifolds.
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Extract data, such as insured name, company, industry, beneficiaries, etc., by using intelligent document capture and expedite the on-boarding process.
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Onboarding and claim processing is associated with high volumes of support documents for verification and validation. Using intelligent document processing, expedite the process of data ingestion and integration with core systems.
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Healthcare Insurance policies need to assess the medical status of the insured in order to assign the premium and hence are associated with lengthy questionnaires to assess the true health status. Use intelligent document processing to capture the answers to the questions and expedite the medical policy processing.
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Manage the mailroom traffic through automation. Use intelligent document processing to ingest the incoming snail mail and route it to the relevant department for quick action.
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Extract data from more than one source documents with intelligent document processing and store it on a staging server along with contacts database. Merge them using RPA and trigger policy email communication.
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Auto-ingest the data from Excel file stored in a central location and integrate the data in the enterprise ERP system. Execute this step for all the records in the Excel file. Auto-generate invoices and email to the concerned parties.
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Download the change requests to policies received from customers through email and CRM. Extract the required details from the change requests with intelligent document processing and put it on a staging server. Integrate with the main policies with RPA and issue the new policy document. Send the new policy document through email and courier to the customer.
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Capture the claim data from the claim application form with intelligent document processing. Validate the data, such as date of death and reason from third party sites such as government sites. Improve the speed and efficiency of the claim validation process and fast-track payment release.
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Use intelligent document processing to extract data from policies and claims to match the same. In case of any missing information required for claim processing, set document chasing trigger to the insured customer and assign an executive by using RPA bots according to the executive workload. The document chaser can be used for chasing information from third parties as well.
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Verify information on licenses, registrations, etc. by extracting data from them with intelligent document processing. Use the extracted information to conduct third party verification from public websites and databases.
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Use intelligent document processing and RPA to identify repeating clauses in contracts. Reduce review time and improve efficiency and accuracy by manifolds.
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Claims usually need to be verified from multiple sources by fetching relevant documents. Use RPA bots to fetch third party information through document chasing. On receiving the documents auto-read the document with intelligent document processing and classify them. Thereafter, take incomplete claim processing to closure with RPA bots.
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Use intelligent document processing and RPA bots to read data from Excel sheet application for group insurance and make bulk data entry in the core systems in case of institutional customers.
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Use intelligent document processing and RPA to extract details from different sources including paper-based ones for conducting KYC checks and AML exercise for new customer onboarding and insurance claim processing.
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Use intelligent document processing to read identification documents submitted by customers and execute onboarding as well as claim applications.
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Use intelligent document processing to extract policy details and policy payment dates. Match the dates with the last policy premium paid dates using RPA and trigger periodic premium reminders till it is received.
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Use intelligent document processing and RPA to retrieve data from internal and external sites and generate complete 360 degree view of the case for due diligence and regulatory compliance.
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Generate customer risk score for retail and institutional customers by using intelligent document processing and RPA to collate data from internal databases and third party websites.
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Datamatics is a technology company that builds intelligent solutions enabling data-driven businesses to digitally transform themselves through Robotics, Artificial Intelligence, Cloud, Mobility and Advanced Analytics.