AI-Based Virtual Administrative System Creation from Legacy Systems
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Solution Overview
Problem
Businesses face challenges in converting cumbersome, siloed, and unscalable legacy administration systems to integrated systems that are flexible, expandable, adaptable, and scalable, with existing systems being error-prone and difficult to scale.
Innovation Solution
Utilizing AI and robotic process automation techniques to analyze, convert, and implement components from multiple legacy administration systems into an integrated system, including data items, product rules, business functions, and calculation modules, using methods such as natural language processing, deep learning, and data modeling to create a virtual administrative system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If legacy administration systems are used, then existing business processes can be maintained, but the systems become cumbersome, siloed, unscalable, and error-prone
Solution Approach 1:
The system creates a virtual administrative system that is a digital copy of the legacy system, capturing its structure, data, and functionality. This virtual replica enables automated processing and integration without fundamentally redesigning the original legacy systems, thereby reducing errors while managing complexity through virtualization rather than physical restructuring
Solution Approach 2:
The virtual administrative system acts as an intermediary layer between legacy systems and modern integrated systems. It captures and standardizes data from multiple siloed legacy systems, enabling integration and automated processes without requiring direct modification of the legacy systems themselves, thus reducing errors while maintaining manageable complexity
2Adaptability or versatility
If legacy administration systems are converted to integrated systems, then flexibility and scalability are improved, but conversion complexity and resource requirements increase
Solution Approach 1:
The system performs preliminary analysis and capture of legacy system structures, data models, and business rules before actual integration occurs. By pre-processing and standardizing legacy system information into a virtual administrative system, the conversion process becomes more manageable and less complex, while still achieving the desired flexibility and scalability
Solution Approach 2:
The conversion process is segmented into distinct phases: analyzing legacy systems, capturing their virtual representations, integrating selected components, and deploying the virtual administrative system. This segmentation allows organizations to tackle flexibility improvements in manageable steps rather than attempting a monolithic conversion, reducing overall conversion complexity
3Productivity
If manual processes are used in legacy systems, then implementation is simpler, but labor intensity and error rates increase
Solution Approach 1:
The virtual administrative system enables self-service automation by capturing business rules and processes directly from legacy systems and automatically executing them. The system serves itself by learning from legacy system operations and autonomously performing administrative tasks, thereby improving productivity while managing automation complexity through self-learning mechanisms rather than complex external control systems
Data Source
AI summary
Methods, systems and apparatuses, including computer programs encoded on computer storage media, are provided for automatically creating a virtual administrative system based on one or more legacy administrative systems. The data definitions, product rules, business functions/processes, business rules, and calculation modules of the legacy system and the integrated system are analyzed by an analysis system to determine elements in the legacy system and not in the integrated system. Elements of the legacy system not present in the integrated system are generated in the integrated system.