Attribute-Based Rule Orchestration for Unified Decisioning
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Solution Overview
Problem
Managing multiple decisioning platforms across different domains and business units leads to data inconsistencies, redundancies, operational complexity, and inefficiencies, requiring significant resources and specialized expertise.
Innovation Solution
A universal decisioning platform utilizing data attribute dependent rules and data orchestration, which defines rules based on data attributes rather than specific data sources, enabling seamless integration and automation of workflows across domains and business units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple decisioning platforms are used across different domains and business units, then each platform can be optimized for its specific domain, but data inconsistencies and redundancies occur, and operational complexity increases
Solution Approach 1:
The patent implements a universal decisioning platform that serves multiple domains and business units through a common architecture. The system uses domain-agnostic data structures, unified data orchestration mechanisms, and standardized protocols that enable the same platform to handle diverse decisioning needs across different domains, thereby eliminating the need for multiple separate platforms while maintaining domain-specific functionality through configuration rather than structural duplication
2Adaptability or versatility
If multiple decisioning platforms are maintained, then domain-specific functionality is preserved, but significant resources and specialized expertise are required for management
Solution Approach 1:
The system consolidates resource requirements by implementing a single universal platform that serves multiple domains. The shared infrastructure, common data orchestration engine, and unified rule management system eliminate the need for duplicate resources across multiple platforms. Specialized expertise is centralized in a single team that manages the universal platform, reducing the total quantity of human resources and technical expertise needed compared to maintaining multiple separate platforms
3Ease of operation
If data orchestration is performed across multiple platforms, then data can be organized for each domain, but data inconsistencies and redundancies persist
Solution Approach 1:
The patent merges data orchestration functions into a single unified system that handles data from all domains through common mechanisms. The system implements centralized data gathering, unified organization protocols, and consistent data activation processes that apply across all domains. This consolidation ensures data consistency by eliminating duplicate data handling operations and preventing the creation of redundant or conflicting data versions that would occur with separate platform-based orchestration
4Adaptability or versatility
If multiple separate data pipelines are maintained, then domain-specific data processing is achieved, but efficiency decreases and redundancies increase
Solution Approach 1:
The system implements universal data pipeline components that can process domain-specific data through a common infrastructure. The unified data orchestration engine, shared data gathering mechanisms, and centralized activation processes enable efficient processing across all domains by eliminating redundant operations. The platform maintains domain-specific processing capabilities through configuration rather than separate pipeline implementations, thereby improving overall productivity while preserving adaptability
Data Source
AI summary
In some implementations, a device may obtain a rule set that includes one or more rules that are defined using respective data attributes. The device may determine, based on the respective data attributes, a first level of data, including a first one or more data sources, associated with determining an outcome of the rule set. The device may determine, for at least one data source of the first one or more data sources, a second level of data associated with obtaining data from the at least one data source. The device may determine an execution protocol associated with obtaining protocol data that is associated with determining the outcome of the rule set. The device may obtain the protocol data. The device may apply, to the protocol data, the rule set to determine the outcome.