RPA Bot Event Case Processing Automation

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Solution Overview

Problem

Event case processing is a protracted process involving repetitive tasks, necessitating further automation to reduce manual input, decrease turnaround time, and enhance efficiency.

Innovation Solution

A comprehensive end-to-end system combining a semi-automated event case processing management model with Robotic Process Automation (RPA) bots for laborious activity performance, providing dynamic visibility, monitoring, and adherence to rules, policies, and service levels through interconnected event case processing management and RPA bot modules.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual processing methods are used for event cases, then flexibility and adaptability are maintained, but processing time is excessive and efficiency is low

Engineering Contradiction:

Improveevent case processing efficiencyVSAvoidturnaround time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system enables self-service automation where RPA bots autonomously perform event case processing tasks including data extraction, validation, routing decisions, and case closure without human intervention. The bots self-manage the entire workflow from event detection to case resolution, eliminating manual processing bottlenecks while maintaining operational flexibility.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by pre-configuring event rules, validation criteria, routing logic, and processing workflows before events occur. RPA bots are pre-programmed with business rules and decision trees that enable them to automatically execute appropriate actions based on event type, reducing processing time while maintaining adaptability through pre-established frameworks.

Inventive Principle:

Principle #10Preliminary action

2Productivity

If more automation is implemented in event case processing, then efficiency and turnaround time improve, but system complexity increases

Engineering Contradiction:

Improveprocessing throughputVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The RPA bot architecture implements universality by designing multi-functional bots that can handle multiple event types and processing tasks within a single system. The bots are configured with adaptable rule engines and validation frameworks that can process diverse event cases using common processing logic, reducing system complexity while maintaining high productivity through standardized yet flexible automation.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system introduces an event case processing management module as an intermediary between event detection and RPA bot execution. This intermediary layer orchestrates bot activities, manages case state transitions, and coordinates between different processing stages, simplifying the overall system architecture while enabling complex automated workflows through centralized control.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Ease of operation

If automated RPA bots are deployed for event case processing, then manual input is reduced and efficiency increases, but monitoring and control of processing stages become more challenging

Engineering Contradiction:

Improvemanual input requirementVSAvoidprocess monitoring capability

Core Design Contradiction:

Ease of operationVSDifficulty of detecting and measuring

Solution Approach 1:

The system implements comprehensive feedback mechanisms where the event case processing management module continuously monitors RPA bot activities, tracks case progression through different stages, and provides real-time visibility into processing status. The system captures metrics on bot performance, case throughput, and adherence to service levels, enabling effective monitoring and control while maintaining ease of operation through automated tracking.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system extracts monitoring and control functions from the main processing workflow by implementing a separate event case processing management module that independently tracks and manages RPA bot activities. This separation allows the monitoring system to observe and control automated processes without interfering with the ease of operation of the primary processing tasks, providing visibility while maintaining operational simplicity.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS10919148B2Event processing using robotic entities

Publication Date: 2021.02.16 BANK OF AMERICA CORP

AI summary

A system for processing event cases through the use of a robotic process automation (RPA) bot model in conjunction with an event case processing management module is provided. A synergistic processing management and robotic framework provides for end-to-end monitoring and tracking of event case processing performance. In addition, the invention provides for data-centric robotics, policy and procedure robotics which manage end-to-end orchestration to provide a holistic throughput of event case processing.