Rules Engine for Client Document Requirement Matrices
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Solution Overview
Problem
Existing systems for cross-selling financial products are largely manual, lacking visibility into client documents and requiring significant operational effort, with salespersons unable to efficiently identify which assets can be onboarded with minimal additional documentation.
Innovation Solution
A rules engine that ingests and applies rules to determine document requirements by converting spreadsheet formats into JSON, using handler functions to generate matrices indicating which products clients can purchase and what documents are needed, thereby automating the onboarding process and reducing manual effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual processes are used for cross-selling financial products, then salespersons can identify client documents and product requirements, but significant operational effort is required and visibility into client documents is lacking
Solution Approach 1:
The rules engine automatically evaluates trigger conditions and generates document requirement matrices without human intervention. The system self-services by ingesting rules, converting formats, applying evaluation logic, and producing results that guide salespersons, eliminating manual document requirement analysis
Solution Approach 2:
Manual mechanical processes of reviewing client documents and determining product eligibility are replaced by an automated computational system. The rules engine uses algorithmic evaluation of trigger conditions against client data to substitute the manual operational workflow
2Adaptability or versatility
If rules are stored in multiple spreadsheet formats, then flexibility in rule storage is maintained, but format conversion and processing complexity increases
Solution Approach 1:
A format conversion intermediary layer is introduced between the diverse spreadsheet input formats and the rules engine processing. This intermediary automatically converts various spreadsheet formats into a standardized internal format, shielding the core engine from format complexity while maintaining input flexibility
Solution Approach 2:
The rules engine is designed with universal format handling capability, accepting multiple spreadsheet formats through a unified interface. The system performs multiple functions: format detection, conversion, validation, and processing, all through a single versatile component
3Productivity
If automated rules evaluation is implemented, then operational overhead is reduced and efficiency improves, but system complexity increases
Solution Approach 1:
The automated evaluation system is segmented into distinct modular components: rule ingestion module, format conversion module, trigger condition evaluation module, and result generation module. Each module handles a specific aspect of the process, making the overall complex system manageable through functional segmentation
Data Source
AI summary
Methods, systems, and techniques for applying a rules engine. Rules corresponding to trigger conditions to be evaluated in respect of a client, and client data pertaining to the client, are obtained. The rules are applied by the rules engine so as to evaluate trigger conditions in respect of at least one product and in respect of at least one document requirement that requires the client to provide a particular document or class of document prior to purchasing the at least one product. The result of applying the rules is a matrix that summarizes, for each of the at least one product, which of the at least one document is required for the client to purchase the product.