Banking and Financial Services processes are immensely benefitted by Robotic Process Automation (RPA) bots. They expedite repetitive and rule-based manual processes in Banking and Financial Services. They accelerate all swivel chair operations related to updating different banking systems and databases for internal and external compliance. RPA is a low code, non-invasive, surface integration technology that seamlessly integrates modern ERP systems and banking and financial services legacy systems to bring them on the same turf of operation without costly technology upgrades. It improves straight through processing or STP to deliver 10x productivity and operational efficiency while alleviating the need for frequent manual intervention.

Banking and Financial Services processes, which handle a large amount of paper work during their daily transactions, right from KYC, service request processing, internal and external statutory compliances, etc., are significantly benefitted by Intelligent Document Processing or Intelligent Data Capture. The technology takes simple OCR output to the next level. It extracts information from unstructured documents and paper work and converts it into structured format that can be easily used for further processing and integrated with the core systems. Banking Process Management can leverage end-to-end automation with the help of integrated solutions powered by Intelligent Document Processing, Robotic Process Automation (RPA), Artificial Intelligence / Machine Learning (AI / ML), and workflows.

Banking Process Management can be improved by incorporating an intelligence layer powered by Artificial Intelligence / Machine Learning (AI /ML) in the automation solutions to automate highly complex processes. AI / ML allows to generate trends and actionable insights from high volumes of both structured and unstructured data. It supports information mining practices to enable cross-selling and up-selling of products.

AI/ML and RPA bots aggregate structured, unstructured, and multi-structured data from different systems, correlate different data points, and generate the bigger picture. The technology combine allows to perform contextual analysis and generate trends, patterns, and outliers to intercept fraud.

Banking and Financial Services is a data intensive sector. Data moves through multiple systems before a transaction gets affected. RPA and AI/ML improve data processing to the nth extent resulting in straight through processing or STP. The improved speed of transactions positively influences customer experience and hence customer satisfaction.

IBM Cloud Pak for Business Automation or IBM CP4BA offers out-of-the-box accelerators for jumpstarting automation, which positively influences Banking Process Management. The cloud enabled applications power Loan & Mortgages processing solutions for anytime anywhere access and processing. The accelerators seamlessly integrate with core banking systems and compliance regulatory systems. They allow to expedite Loan & Mortgage processing and Contract Management.

TruBI improves decision making capability in data intensive sectors, such as Banking and Financial Services. TruBI is a Business Intelligence and Data Visualization tool, which seamlessly integrates with data bases and data lakes to generate DIY interactive dashboards that facilitate fast decision making. It improves productivity by 60%.