Robotic Workflow Control for Billing Disputes and Collections
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Solution Overview
Problem
Current systems face challenges in developing seamless interfaces for a blended workforce comprising human employees and robots to efficiently collaborate on tasks, particularly in billing and collections processes, leading to inefficiencies and increased dispute resolution times.
Innovation Solution
A robotics operations control system that includes intelligent billing assistants, collections assistants, and disputes resolution assistants, utilizing AI and workflow managers to prioritize tasks, predict disputes, and automate processes, thereby reducing human intervention and enhancing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If human employees handle all billing and collections tasks manually, then flexibility and contextual understanding are maintained, but productivity and consistency deteriorate
Solution Approach 1:
The patent introduces a robotic operations control system as an intermediary layer between human employees and billing/collections tasks. This control system manages robotic assistants that handle repetitive tasks, while humans focus on complex dispute resolution. The intermediary system coordinates task allocation, monitors performance, and ensures seamless collaboration between humans and robots, resolving the contradiction by automating routine work without requiring humans to directly interact with complex automation interfaces.
Solution Approach 2:
The patent segments billing and collections tasks into two categories: repetitive routine tasks handled by robotic assistants and complex dispute resolution tasks handled by human employees. This segmentation allows each type of task to be optimized for its appropriate handler - robots for consistency and volume, humans for judgment and communication - thereby improving overall productivity without creating a complex integrated system for every task type.
2Productivity
If robotic assistants are introduced to automate repetitive tasks, then productivity and consistency improve, but ease of operation and collaboration interface complexity worsen
Solution Approach 1:
The robotic operations control system serves as a mediator that manages the complexity of human-robot collaboration. It handles task allocation, progress tracking, and coordination automatically, allowing employees to work with robotic assistants through simple interfaces rather than directly managing complex automation systems. This intermediary layer shields employees from operational complexity while maintaining high productivity.
Solution Approach 2:
The control system automatically performs self-service functions including task assignment to appropriate assistants, monitoring completion status, and coordinating handovers between humans and robots. This automation of management functions reduces the operational burden on employees, making collaboration easier despite the presence of multiple robotic assistants and complex workflows.
3Productivity
If more robotic assistants are deployed to handle increased task volume, then productivity increases, but device complexity and coordination requirements worsen
Solution Approach 1:
The robotic operations control system is designed as a universal platform that can manage multiple types of robotic assistants (billing assistants, collections assistants, dispute resolution assistants) through a single integrated interface. This multi-functional control system handles diverse task types, performance metrics, and coordination requirements without requiring separate management systems for each robot type, thereby scaling productivity without proportionally increasing system complexity.
Solution Approach 2:
The patent merges multiple robotic assistants and their control functions into a single unified robotic operations control system. This consolidation allows centralized management of task allocation, performance monitoring, and coordination across all assistants, reducing the complexity that would arise from managing multiple independent systems. The merged system efficiently coordinates increased task volume through integrated resource management.
Data Source
AI summary
A robotic operations control system enables seamless distribution of tasks among a blended workforce that includes human employees and robot assistants. The robot assistants include an intelligent billing assistant (IBA), an intelligent collections assistant (iNCA), a dispute resolution assistant (DRA) and a cash processor. Each of the assistants includes a workflow manager that receives work items to be processed by the robot assistant based on the priority levels assigned to the work items. The IBA includes a dispute prediction model that predicts the likelihood of dispute for a work item and automatically generates a customized checklist. The iNCA includes an AI prioritizing assistant that identifies priorities for work items to be processed. The DRA includes an AI assisted investigator that expedites investigations of disputes by proactively gathering information for a human employee to review and mark the dispute as valid, invalid or for query.