Automated User-Verification Rule Schema Generation

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Solution Overview

Problem

Current server systems face challenges in efficiently monitoring and implementing user-verification rules across multiple geographic regions due to the complexity and variability of KYC regulations, leading to increased costs and delays in updating these rules, which results in the loss of relevant metric data and degradation of user-verification services.

Innovation Solution

A user-verification rule platform that automates the generation and updating of user-verification rules, utilizes a context capture framework to adapt schemas for documenting rule usage, and employs a metric query builder to retrieve performance metrics, reducing manual effort and latency in implementing new rules while improving the quality and reporting of metric data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual implementation of user-verification rules is used, then implementation accuracy can be maintained, but implementation time and labor costs increase significantly

Engineering Contradiction:

Improverule implementation speedVSAvoidtime to implement new rules

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system enables self-service through automatic schema generation that adapts to new user-verification rules without manual intervention. The schema generator automatically creates and updates data schemas based on rule definitions, eliminating the need for manual schema updates and significantly reducing implementation time.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary action by pre-defining schema templates and structures that can be automatically instantiated when new rules are added. This preparation of framework structures in advance allows rapid deployment of new verification rules without extensive setup time.

Inventive Principle:

Principle #10Preliminary action

2Loss of information

If comprehensive metric tracking is implemented, then data quality improves, but system complexity increases

Engineering Contradiction:

Improvecompleteness of metric dataVSAvoidcomplexity of monitoring system

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The event schema serves multiple functions simultaneously: it structures verification events, enables metric generation, supports compliance reporting, and facilitates data analysis. This multi-functionality reduces system complexity by consolidating what would otherwise require separate systems for each function.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system manages complexity through parameterized schemas that can be configured with different metric definitions, time ranges, and filtering criteria. By making these parameters configurable rather than hard-coded, the system can adapt to different monitoring requirements without structural changes.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If frequent rule updates are performed, then service compliance improves, but data loss during implementation increases

Engineering Contradiction:

Improvecompliance with KYC regulationsVSAvoidloss of metric data during updates

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system ensures continuity by maintaining persistent storage of verification events and automatically continuing metric collection after rule updates. The event schema structure allows seamless transition between rule versions without data loss, ensuring continuous compliance monitoring.

Inventive Principle:

Principle #20Continuity of useful action

4Productivity

If automated schema generation is used, then implementation efficiency improves, but adaptability to new rule formats may decrease

Engineering Contradiction:

Improvespeed of rule deploymentVSAvoidflexibility to accommodate new rules

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The event schema is designed to be dynamic and adaptable to new user-verification rule formats. The schema generator can automatically adjust schema structures based on the characteristics of new rules, maintaining both automation efficiency and adaptability to evolving verification requirements.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS12200017B2Techniques for automated capture and reporting of user-verification metric data

Publication Date: 2025.01.14 PAYPAL INC

AI summary

Techniques are disclosed relating to the automated capture and reporting of user-verification metric data. In various embodiments, a server system may maintain a set of user-verification rules usable to verify an identity of a user requesting to perform operations via a service provided by the server system. In response to receiving an updated rule definition for a particular user-verification rule, the server system may automatically generate an updated schema for the particular user-verification rule, where the updated schema specifies a structure of event messages used to documents uses of the particular user-verification rule by a user-verification service. The server system may then receive information corresponding to a particular use of the particular user-verification rule and, using the updated schema, generate an event message to document the particular use of the particular user-verification rule.