Virtualized RPA for Secure Appointment Document Workflow
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Solution Overview
Problem
Financial institutions face challenges in efficiently and securely managing large volumes of customer appointment workflows, involving data access and document generation, which are prone to errors and security risks due to manual operations and exposed programmatic interfaces.
Innovation Solution
Implementing robotic process automation (RPA) techniques through virtual machines that execute software robots to automate data retrieval from graphical user interfaces, aggregate customer-specific data, and generate appointment-specific guidance documents, reducing manual interactions and exposing only encrypted data to branch systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual operations are used for data access and document generation, then system complexity is reduced, but error rate increases and security risks worsen
Solution Approach 1:
The system enables self-service through automated software robots that independently access graphical interfaces, retrieve customer data, and generate appointment documents without human intervention. The robots autonomously navigate the financial institution's systems, extract required information, and populate templates, eliminating manual operations while maintaining system simplicity.
Solution Approach 2:
Manual mechanical operations are replaced with automated software-based processes. The patent substitutes human operators with software robots that execute predefined workflows to access data, process information, and generate documents, thereby reducing errors while managing complexity through automation.
2Productivity
If programmatic interfaces are exposed for data access, then productivity increases, but security risks worsen
Solution Approach 1:
The patent introduces software robots as intermediaries between the external system and the financial institution's internal systems. These robots access graphical interfaces rather than exposed programmatic interfaces, acting as a secure mediation layer that enables data access while preventing direct exposure of vulnerable interfaces to external systems.
Solution Approach 2:
Instead of exposing original programmatic interfaces, the system creates visual copies through graphical interface automation. The software robots interact with visual representations of data and systems, replacing direct interface exposure with indirect visual-based access methods that maintain security while enabling productivity.
3Device complexity
If manual document generation is used, then system complexity is reduced, but time consumption increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring document templates with placeholder elements before appointment events occur. Customer data is retrieved and prepared in advance, and document templates are pre-populated with available information, reducing the time required for final document generation while maintaining manageable complexity through template-based automation.
Solution Approach 2:
Manual document generation processes are replaced with automated template-based systems. Software robots automatically populate pre-designed templates with customer data, eliminating manual document creation while managing complexity through standardized template structures and automated data integration.
4Productivity
If automated software robots are implemented, then productivity increases, but device complexity worsens
Solution Approach 1:
The software robots are designed to be self-contained and self-managing units that autonomously execute workflows. Each robot independently handles specific appointment processing tasks, reducing the need for complex centralized control systems and managing architectural complexity through decentralized, self-service automation agents.
Solution Approach 2:
The software robots are designed as universal, multi-functional agents capable of handling various appointment-related tasks including data retrieval, document generation, and information aggregation. This universality reduces overall system complexity by using standardized, reusable automation components rather than specialized systems for each function.
Data Source
AI summary
The disclosed embodiments include computer-implemented processes that manage adaptively queued appointment workflow through a virtualization of robotic process automation (RPA) techniques and an implementation of template-based document generation processes. An apparatus may obtain appointment data that includes a customer identifier, and at least a portion of the appointment data may be generated during a chatbot session. The apparatus may implement a virtualized RPA technique to (i) access a graphical interface of an application program executed by a first computing system, and (ii) request, through the accessed graphical interface, data associated with the customer identifier. Based on appointment-specific elements of template data, the apparatus may generate a portion of a guidance document for a corresponding appointment that includes at least a portion of the requested, and received, data associated with the customer identifier, and the apparatus may transmit the guidance document to a second computing system associated with the corresponding appointment.