Interactive Demo: AI-Powered Documentation

See How AI Can Transform Engineering Documentation Workflows

The Challenge

Control narrative documentation is a critical deliverable in industrial automation projects, providing detailed descriptions of process control strategies, safety interlocks, operational modes, and alarm management. However, creating comprehensive control narratives is:

  • Time-consuming: Can take days or weeks for complex systems
  • Requires expertise: Needs deep understanding of control systems and documentation standards
  • Consistency challenges: Difficult to maintain uniform quality across projects
  • Error-prone: Manual documentation can miss critical details
What This Demo Showcases

This interactive demonstration illustrates how AI can be integrated into engineering workflows to automate documentation tasks. The example combines industry expertise with advanced language models, showing what's possible when building custom AI solutions:

AI Integration Capabilities

Demonstrates how GPT-5 can be customized with domain-specific prompts

Standards Compliance

Shows how AI can follow industry documentation formats and best practices

Domain Expertise

Example of comprehensive safety and protection system coverage

Workflow Acceleration

Illustrates potential time savings from AI-assisted documentation

Try the Interactive Demo

Explore how AI can generate technical documentation with this hands-on example

Control Narrative Generator
Professional control narrative generation based on industry best practices. Pre-populated with an FCCU Main Air Blower example.

1. Process Overview

2. Control System & Interfaces

3. Control Sequence (States)

4. Process Control

5. Key Parameters & Setpoints

Low:High:RPM

6. Key Shutdown Conditions (Trip Matrix)

Potential Benefits
0%

Time Savings

Reduce documentation time from days to hours

0%

Consistency

Uniform quality across all documentation

Zero

Missed Requirements

Comprehensive coverage of all safety elements

How It Works
1

Input Process Parameters

Specify process type, safety requirements, operational constraints, and control philosophy

2

AI Processing

Advanced language model analyzes inputs and generates structured documentation following ISA standards

3

Quality Assurance

Output includes all required sections: Process Description, Control Strategy, Safety Interlocks, Operational Modes, and Alarm Management

4

Review & Refinement

Engineers review and refine the generated narrative, adding project-specific details

Technology Stack: Built with Next.js, TypeScript, and OpenAI GPT-5. Specialized prompt engineering ensures technical accuracy and adherence to industry standards.

Interested in Custom AI Solutions?

Contact us to discuss how we can build tailored AI tools for your documentation workflows