Automated Policy Management With Multi-Format Translation

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Solution Overview

Problem

Organizations face the challenge of managing hundreds or thousands of policies in different proprietary formats, requiring steep learning curves and labor-intensive manual processes to distribute these policies across multiple systems.

Innovation Solution

A system comprising a translation engine and a pipeline engine that automates the conversion of policy code between formats and distributes it to appropriate policy engines, allowing policies to be written once and deployed across multiple environments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If policies are expressed in different proprietary formats and distributed manually to various policy engines, then each policy can be tailored to specific system requirements, but the process becomes labor-intensive and requires steep learning curves for each format

Engineering Contradiction:
Improvepolicy format compatibilityVSAvoidmanual distribution process
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a translation engine as an intermediary component that converts policies from a common internal format to multiple proprietary formats. This mediator automatically handles the format conversion, eliminating the need for manual intervention in distributing policies to different policy engines while maintaining format-specific compatibility.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables self-service automation where the translation engine and pipeline engine work together to automatically translate and distribute policies without human intervention. The pipeline engine automatically identifies target policy engines, selects appropriate translations, and pushes policies to the correct destinations, making the entire process autonomous.

Inventive Principle:
Principle #25Self-service

2Productivity

If manual distribution of policies is used, then flexibility in handling each policy individually is maintained, but productivity decreases due to labor-intensive processes

Engineering Contradiction:
Improvepolicy distribution speedVSAvoidmanual policy management
Core Design Contradiction:
ProductivityVSExtent of automation

Solution Approach 1:

The patent replaces the mechanical manual distribution process with an automated software-based system. The translation engine and pipeline engine substitute human operators, automatically handling policy translation, format conversion, and distribution to multiple policy engines simultaneously, thereby dramatically improving productivity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary actions by pre-translating policies into multiple formats in advance. The translation engine prepares policy translations before distribution is needed, and the pipeline engine pre-configures distribution paths, enabling rapid policy deployment without manual intervention when changes are required.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If multiple proprietary policy formats are supported, then compatibility with various policy engines is achieved, but the learning curve for each format increases

Engineering Contradiction:
Improvemulti-format supportVSAvoidoperator learning requirement
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent implements a universal internal policy format that serves as the common language for all policy engines. The translation engine provides multi-functionality by automatically converting this universal format to multiple proprietary formats, allowing operators to work with a single standardized format while maintaining compatibility with diverse policy engines through automated translation.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250292177A1Automated policy management
Publication Date: 2025.09.18 WELLS FARGO BANK NA
  • US20250292177A1 patent drawing
  • US20250292177A1 patent drawing
  • US20250292177A1 patent drawing

AI summary

An example computer system for automating policy management can include: one or more processors; and non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to create: a translation engine programmed to take policy code in a first format and translate the policy code to a second format; and a pipeline engine programmed to automatically distribute the policy code in the first format to a first policy engine and distribute the policy code in the second format to a second policy engine.