Automate the core processes to personalize banking for the customers and achieve operational excellence.
Automation Use Cases for Banking Retail Assets
Initiate direct salary credits for employees on corporate prepaid salary card through automation, after validation of employee names, amounts and account numbers.
Automate account opening by downloading the customer details from files and uploading them in the core banking system.
Intelligent Automation enabled mobile automation to auto-verify and auto-validate vehicle registration certificates by fetching inputs from multiple third-party applications, in this case, Government mobile applications, mParivahan, and Vahan Master.Talk To An Automation Expert →
Manage the reversal of charges levied on the customer for various services offered, based on the discretion of the branch.
Automate the remittance process across multiple accounts – Nostro, Vostro, RTGS and NEFT.
Check for frauds in lending against equitable mortgages as well as on multiple loans taken on the same asset across different banks through CERSAI portal. This is India specific process.
Collate all loan and card service requests into a single file and perform closure/ rejection through specific validations.
Update the details for all journal vouchers and settlements, which helps avoid additional claims by the claimant.
Manage the foreign bank transaction charges (for different currencies) levied by the correspondent banks in other countries.
Validate the foreign exchange transactions done through Master and Visa cards and avoid duplication or incorrect payments, ensuring that law violations don't occur.
Automate the last leg of the VAHAN process to record all information of the disbursed vehicle loan including borrower details, vehicle purchased, credit score, EMIs, etc.
Track monthly/quarterly closing of stock-book debt and trade creditors’ statements received from customers through email and auto-update in the core banking system.
Enable money transfers to and from the e-wallet account tied to the portal. Enable access of the electronic wallet from any device.
Create a new ID for every new corporate client. Amend / renew the related record and contract for existing client.
Automatically validate the loan foreclosure requests received from the banking system.
Collate large-sized records received from various channels, which contain data such as last closing balance, current transactions, etc. Auto-reconcile the data. Process the exceptions manually.
Expedite account opening for Trading, DMAT, Trading & DMAT, etc., accounts with Intelligent Automation from close to 2 hours to a few minutes. Auto-capture the details from the hard copy form followed by checker bot verification. Subsequently, auto-export the files to a predefined path from where the files can be uploaded to various servers in a semi-automated scenario.
Auto-capture the details from the application form and initial payment funding cheque received through the relationship manager while opening a new account in the core banking system to create the account number. Auto-trigger various sub-process entries in the core banking system and transfer the amount from the bank to the new customer account through the maker and checker bot profiles.
On receiving the NEFT/RTGS request from the customer, auto-create the request in CRM system. Auto-pick the request from CRM and trigger the maker-check process in the core banking system. Auto-update the final status in the CRM system.
Auto-update the risk category of the bank customers based on different pre-defined parameters, e.g. occupation, business type, suspicious transactions done by user, number of transactions done in a given period, etc. Auto-trigger the process at a pre-defined frequency to update the latest information available.
Auto-capture the details from the Term Deposit opening application received in hard copy or in the CRM system and the cheque for funding. Auto-verify the details with Intelligent Automation and create the account in the core banking system. Subsequently, auto-trigger different sub-process entries in the core banking system and transfer the amount from the bank account to the new customer account through the Intelligent Automation enabled maker and checker processes.
Use Intelligent Automation to access Visa and Master Card portals and download the document for the re-presentment and second chargeback un-work cases. Automate the process in Visa and Master Card dispute resolutions.
Automate the processes related to Commodity Based Financing. On receiving service requests in Helpdesk system, auto-download them in Excel format along with the attached images. As per a pre-defined process, key in the details from the service requests in the Commodity Based Financing application in the core banking system.
Auto-verify the interest collection due from commodity-based finance customers and divide them into lots containing pre-defined number of entries. Auto-segregate the lists depending on customer’s available balance in the bank into temporary overdraft (TOD) and non-temporary overdraft (non-TOD) lists. Auto-upload TOD in all lot files in the core banking system. Auto-check the non-TODs with the reference number in the Commodity Based Financing site and automatically trigger the maker process in small batches to avoid checker load.
Auto-verify and validate the amount reflecting in forex incoming & forex outgoing report against the forex transaction report currency-wise and balance sheet. Book cross-currency deals against USD by verifying the total amount arrived based on the forex transaction report. Subsequently, match the net foreign currency bought & sold in USD with the total amount reflected in the forex transaction report of USD currency. Book the net difference arrived in USD currency income/expense deal in the core system, such as Credence. Pass a CAS entry for the same.
Share data related to Liberalized Remittance Scheme comprising the amount that can be remitted for expenditure in a foreign land with the Travel Card Operations through the Helpdesk service requests. Auto-check the data with an electronic filing platform, such as XBRL, based on LRS status tagged to the unique citizen identification number of the remitter.
Use Intelligent Automation to auto-create the Excel file as per the respective upload file formats by taking required input files in Excel from the Automated Payment Systems (APS) for releasing the small business finance amounts.
Use Intelligent Automation for compliance with regulatory guidelines. Perform monitoring of “intraday outward SWIFT messages” for all domestic and international locations on T day (T Day=Date of sending outward SWIFT message). At hourly intervals (near to real-time), perform reconciliation of select outward SWIFT messages between the SWIFT Messaging report and a gamut of underlying core system reports.
Automate value date updation in core banking systems with Intelligent Automation based on the request received from the credit team for value-dated transactions related to prepayment/repayment activity for crop loan products.
Use Intelligent Automation to auto-check and auto-verify the dispute and raise the chargeback in the VISA platform under Consumer Goods and Services and Processing Error dispute category. While raising chargeback auto-check whether the mentioned auth code and auth type is "Sale". On verification, raise the chargeback to generate Acquirer Reference Number (ARN) against the chargeback. Also auto-check for duplicate chargebacks if they are already raised.
Automate the tallying of the amount reflecting in wallet-to-wallet incoming & outgoing reports with the currency-wise transaction report and the balance sheet. Total amount arrived based on the wallet-to-wallet transaction report is used for booking cross-currency deals against USD currency. Auto-match the net foreign currency bought & sold in USD with the total amount reflecting in the transaction report of USD currency. Book the net difference arrived in USD currency as an income/expense deal in the core system such as Credence. Pass a CAS entry for the same.
Amount reflecting in incoming & outgoing reports should tally with the negative wallet transaction report currency-wise and balance sheet. Total amount arrived based on wallet-to-wallet transaction report is used for booking cross-currency deals against the cross-currency. Auto-match the net foreign currency bought & sold with cross-currency; with total amount reflecting in negative wallet transaction report of cross-currency. Book the net difference arrived in cross-currency as an income/expense deal in the core system, such as Credence. Pass a CAS entry for the same.
The Central Registry of Securitization Asset Reconstruction and Security Interest of India (CERSAI) is responsible for tracking loan and mortgage transactions and mortgage frauds. Auto-check for frauds in lending against equitable mortgages as well as for taking multiple loans on the same asset across different banks. Use Intelligent Automation to automate direct updation of loan borrowers and property details on their website from the core banking system for movable cases. This is India specific process.
Auto-read the input file and go to core banking application and search for the given loan number under the 'Consumer Agreement' tab. As per the given data, auto-change the branch section and proceed for the further updation in the system. Auto-update the data and reschedule the payment for the respective loan number.
Auto-read the input file, product master file, and previously generated vendor codes with Intelligent Automation. Go to Helpdesk system as per the data given and auto-verify the data with service request data. Auto-reject if it is against the pre-defined constraints. Auto-check the duplication of vendor code and create the new vendor code against the case. Go to ERP application, such as SAP, and upload the data. Finally, auto-update the new vendor code in the master files.
Use Intelligent Automation to register all post-related complaints on the official government postal website. After entering all the required data into the complaint window, auto-generate a complaint number, which needs to be maintained for further tracking of the post.
Auto-write all the case numbers, whose latest tracking detail have to be fetched from the government postal site, in an Excel file and save it.
Auto-write all the service request numbers in an Excel sheet from the CRM system. Based on the service request number, access the Helpdesk system and download image attachments. After downloading the image (.jpg), open it in MS Paint, crop the required signature and save it with the service request number in a particular folder.
Go to the CRM system and retrieve the list of card numbers whose billing date has to be changed. On receiving the list, go to the card and merchant management system site and check for the last billing cycle date change. If it is less than 6 months, then the billing cycle change is system rejected. Otherwise, change the billing cycle and mention the related remark while changing the date and for the rest of the data received.
Log-in to the core banking system. Based on all the account numbers provided, download lien value report (a lien is a right to sell an asset that has been put up as a security against a debt). Do Excel data massaging to create a temporary overdraft (TOD) file to upload back into the system for debiting the accounts after checker approval. This is India specific process.
Auo-capture details from customer questionnaires, validate from different sources on the world wide web, and create a risk score by using intelligent document processing during KYC processing and Loan processing.
Extract data from mortgage forms and supporting documents as well as update the core systems and databases by using intelligent data capture to initiate further processing.
BFSI units have different products. Auto-process application forms for different products and fast track the instrument processing. Improve productivity by 60% with intelligent document processing.
Banks generate many reports and receive many communications from federal banking authorities. Auto-extract details from these multi-structured reports and expedite processes with intelligent document processing.
Expedite cheque processing with intelligent data capture from cheque images in clearing house queues.
Intelligent Document Processing allows to bring in paper-form data into the fraud detection engines powered by Artificial Intelligence algorithms, auto-extract data from unstructured to multi-structured documents, and pump it in the fraud detection engines to get a 360-degree view of potentially fraudulent cases.
Automate account opening by extracting data from paper-based forms and start the account opening process with intelligent document processing. Integrate the data in the core systems. Update the other related systems by using robotic process automation and overcome swivel chair operations.
Automate account closure by extracting data from related forms and initiate the account closure process by using intelligent document processing. Take the process further by involving robotic process automation to update the information in different core banking systems.
Auto-ingest data from annual reports by using intelligent document processing to create research reports for smart decision-making.
Auto-extract data from different reports and perform analysis between planned and actual data numbers.
Use intelligent document processing and RPA to auto-extract data from different forms and different third-party sites to auto-validate the vehicle registration certificate.
Expedite the processing of refund requests with intelligent document processing and RPA. Release the refund to customer on a fast track after fulfilling number of auto-validations and process thousands of requests.
Use intelligent document processing and RPA to process credit finance. Read the data from the Excel file, log in to the CRM, and search for the applicant. Retrieve the black-listed applicants from the credit bureau system and search if the applicant is in that list by using multiple auto-validation logics. Auto-inform the credit finance status and other details to all stakeholders.
Use intelligent document processing and RPA to auto-retrieve data related to the customer from regulatory agencies and expedite onboarding. Validate credit score, ensure legal terms acceptance, and onboard the client to open the account in agreement with banking regulations and policies. Auto-integrate the data with enterprise systems.
Use intelligent document processing and RPA to collate customer data from different sources, and auto-generate a report about the newly onboarded customers for regulatory reporting.
Use intelligent document processing to ingest data from account opening forms. Use RPA bots to assimilate the data with core banking systems and trigger the release of customer kits.
Use intelligent document processing to ingest data from account opening forms for Trading, DMAT, and three-in-one Trading-DMAT-Savings account. Auto-validate the data with in-built validations and automatically integrate the data with core banking systems.
Use intelligent document processing and RPA bots to auto-ingest data from the hard copy of the application form and the initial cheque payment. Automatically integrate the extracted data to the core banking system and generate the account number. Set the triggers for transferring the amount to the new account and customer kit release.
Automatically ingest data from hard copy of Term Deposit application and the initial cheque funding. Auto-validate the extracted details with pre-built RPA validations and create the Term Deposit account. Trigger the further processes automatically, transfer the amount to the Term Deposit account, and generate a certificate.
Use intelligent document processing and RPA bots to extract data from the exporter's documents. Validate the extracted data from the documents as per pre-defined logic for regulatory compliances, AML checks, etc.
Use intelligent document processing to extract email ids of customers from the Excel file and integrate with the enterprise banking systems.
Automatically extract details including cost insurance and freight (CIF), unique identity number (UIN), etc., from paper forms by using intelligent data capture and integrate it with the core banking systems.
Log on to the business application and download the letter of credit, auto-extract data points such as correspondent and sender, beneficiary, receiver, so on and so forth, release SWIFT payment, and auto-inform the stakeholders about the credit.
Generate letter of credit summaries by extracting data from attachments received as Excel sheet by email. Improve the productivity, accuracy, and cycle time.
Auto-extract data from promissory notes by using intelligent document processing and integrating it with the core systems.
Download documents from different sources in a central shared drive, auto-extract the required details as per pre-programmed logic, and generate a structured output by using intelligent document processing. The role-based access eliminates unauthorized access to data while conducting audit reporting.
Access service requests from Helpdesk applications in csv files. Auto-extract data from the files and integrate the data in core systems to generate transaction IDs. In case the validations are confirmed then assign the service requests for execution to the relevant department.
Extract customers' contact details from the source document with intelligent data capture and integrate the data into the core banking systems.
Auto-extract data from the EXIM documents submitted for financing a trade by using intelligent document processing, integrate the data with the core Trade Finance system, and trigger further processing.
Intelligent Automation is a direct function of People-Process-Technology integration.
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Bankers' Guide To Robotic Process Automation
What you get:
- A list of 100+ RPA banking use cases & examples that can be automated with Robotic Process Automation
- RPA use cases & examples across Retail Banking, Corporate Banking, Direct Banking and Trade Finance