Digital Avatar Integration Workflow for Choreography Gaps
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Solution Overview
Problem
Existing electronic information exchange platforms face challenges in scaling up securely, efficiently, and cost-effectively due to complex and time-consuming manual coding and configuration requirements for diverse and geographically dispersed enterprise systems with varying data and processing needs.
Innovation Solution
An intelligent integration system utilizing avatars and handlers to automate data transformation and choreography across disparate systems, enabling secure and efficient electronic data exchange by mapping requirements, adapting to new entities, and filling gaps in choreography compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual coding and configuration is used for each enterprise system to connect to the electronic information exchange platform, then the system can meet specific data and processing requirements, but the complexity and time required for integration increases significantly
Solution Approach 1:
The system enables self-service integration by allowing enterprise systems to automatically discover and connect to the electronic information exchange platform without manual coding. The platform provides automated service discovery, connection establishment, and data mapping capabilities that eliminate the need for complex manual configuration while still meeting specific data and processing requirements through automated adaptation.
Solution Approach 2:
The electronic information exchange platform implements a universal integration architecture that can serve multiple diverse enterprise systems through a common interface and standardized protocols. This multi-functional platform handles various data formats, communication protocols, and processing requirements through a single unified system, reducing the need for separate manual coding for each system connection.
2Productivity
If the electronic information exchange platform scales up to handle vast amounts of data from diverse geographically dispersed systems, then the capability to serve more entities increases, but the cost and security management become prohibitive
Solution Approach 1:
The platform implements segmentation by dividing the integration management into modular components including service discovery modules, connection management modules, data transformation modules, and security management modules. This segmented architecture allows the system to scale horizontally by adding modular components rather than increasing overall system complexity, enabling cost-effective handling of vast amounts of data from diverse geographically dispersed systems.
Solution Approach 2:
The electronic information exchange platform acts as an intermediary layer between diverse enterprise systems, providing standardized interfaces and automated mediation services. This intermediary architecture simplifies security management by implementing centralized authentication, authorization, and encryption protocols at the platform level, reducing the burden on individual systems while enabling scalable data exchange across multiple geographic locations.
3Adaptability or versatility
If diverse enterprise systems with different formats, locations, and requirements connect to the platform, then the versatility of the system increases, but the time and resources needed for configuration increase
Solution Approach 1:
The system implements preliminary action by pre-configuring standardized data models, communication protocols, and transformation templates that can be automatically applied when new enterprise systems connect. Service discovery mechanisms are pre-established to automatically identify system requirements and match them with appropriate configuration templates, eliminating the need for time-consuming manual coding and configuration for each new connection.
Solution Approach 2:
The platform utilizes parameter changes by implementing dynamic configuration that automatically adjusts system parameters based on the specific requirements of connecting enterprise systems. Through automated service discovery and requirement analysis, the system dynamically modifies data mapping parameters, communication protocol parameters, and processing parameters to accommodate diverse formats and requirements without manual reconfiguration.
Data Source
AI summary
An intelligent integration system runs a workflow implementation in a test mode with an avatar, a set of handlers, and a choreography. The system receives a message from the second entity to the first entity via their respective avatars. The arrival of data in the message triggers the first entity to invoke an integration activity which utilizes the set of handlers. The integration activity follows the choreography and moving the data through the choreography is defined and governed by a choreography key. The system may stop moving the data through the choreography, determine/generate a handler that can meet a requirement of the choreography key that is not met by the set of handlers, and update the workflow implementation to include the handler. The system may then continue or restart the workflow implementation with the handler that can meet the requirement of the choreography key.