Digital Procedure Authoring Using Language Signals and Risk Guidance

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing manufacturing processes lack an efficient and automated method for generating digital procedures and guidance within a facility, particularly in managing risks and optimizing equipment operations.

Innovation Solution

A system and method that utilizes a computer system to aggregate equipment manuals and instructional blocks, implement natural language processing and artificial intelligence to generate sequences of instructional blocks, and provide risk mitigation guidance based on language signals and risk assessment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated procedure authoring is implemented using AI and natural language processing, then productivity and efficiency are improved, but device complexity increases

Engineering Contradiction:
Improveprocedure generation speedVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary system comprising natural language processing modules, AI models, and instructional block libraries that mediate between raw equipment manuals and final digital procedures. This intermediary layer automates the complex transformation process while managing system complexity through modular architecture.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables self-service by allowing the automated authoring system to independently generate, validate, and refine digital procedures without manual intervention. The AI model automatically processes equipment manuals, extracts instructional content, and generates standardized procedure blocks, reducing dependency on human procedure authors.

Inventive Principle:
Principle #25Self-service

2Reliability

If comprehensive risk mitigation guidance is integrated into procedure generation, then operational safety is improved, but device complexity increases

Engineering Contradiction:
Improveoperational safetyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary risk assessment and mitigation planning during the procedure generation phase rather than as a separate subsequent step. Risk guidance is embedded into the instructional blocks before procedures are executed, ensuring safety considerations are built-in from the outset without requiring additional complex safety systems.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent merges risk mitigation guidance with operational procedures by integrating safety instructions, risk assessments, and mitigation strategies directly into the same digital procedure workflow. This consolidation ensures that safety and operations are managed through a unified system rather than separate complex subsystems.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS12586037B2System and method for autonomously generating digital procedures and procedure guidance within a facility
Publication Date: 2026.03.24 APPRENTICE FS INC
  • US12586037B2 patent drawing
  • US12586037B2 patent drawing

AI summary

A method for automatically generating a digital procedure includes, during a set-up period: aggregating an equipment manual and instructional blocks associated with an equipment unit into a data container; correlating data, in the data container, with a set of language signals; and aggregating the set of language signals into a procedure authoring model characteristic of a procedure convention for performing steps of instructional blocks by an operator at the equipment unit. The method also includes, during a deployment period: receiving an authoring request; detecting the set of language signals in the authoring request; correlating text, in the authoring request, to an action signal related to the equipment unit; and based on the action signal and the procedure authoring model, generating a sequence of instructional blocks predicted to yield an outcome of the request.