AI-Powered Engineering Documentation Intelligence for a Global Aerospace Leader
Client Overview
A global leader in aerospace manufacturing, the client specializes in designing and producing commercial aircraft, defense and space systems, and helicopters.
With a strong international presence and a legacy of engineering excellence, the organization is pivotal in advancing aviation and space technology. Known for its commitment to innovation, safety, and sustainability, the client relies heavily on complex documentation systems to support its design, engineering, and manufacturing operations.
Managing the integrity of these documents is critical to ensuring compliance, minimizing risk, and enabling agile development cycles in a highly regulated and competitive industry.
Taming Documentation Complexity in Aerospace Engineering
The client faced growing difficulties navigating engineering documentation's expansive and evolving landscape. Their system included vast volumes of content related to MBSE (Model-Based Systems Engineering), Systems Modeling Language (SysML), and software development. This documentation was highly interconnected and frequently updated, making it challenging to trace the impact of changes across different systems and subsystems. The lack of automation created bottlenecks, increased manual effort, and posed risks to engineering accuracy and efficiency.
To stay ahead in an industry driven by precision, innovation, and time to market, the client sought to transform how they managed technical documentation across their engineering lifecycle.
Client Requirements:
Accelerate Engineering Change Impact Analysis
Streamline how change requests and updates are assessed across interdependent documents to support faster, informed decision-making.
Automate Documentation Traceability
Enable automated identification and tracking of document changes using intelligent systems that reduce manual analysis time.
Enhance Document Reusability
Leverage AI to improve content reusability across engineering projects, ensuring consistency and reducing duplication of effort.
Integrate Visual Modeling with Textual Requirements
Facilitate better understanding and communication by generating SysML diagrams from functional and system-level requirements.
Boost Accuracy of Information Retrieval
Improve document search and retrieval precision to deliver highly relevant insights for engineers and system architects.
Support Scalable and Adaptive Documentation Processes
Deploy a solution that evolves with changing product complexity, project size, and organizational needs.
Indium Delivers an AI-Powered Documentation Intelligence Platform
The client partnered with Indium to implement a robust AI-assisted document intelligence platform that combines NLP, LLMs, and computer vision to meet the aforementioned complex requirements.
Here’s how Indium addressed their needs:
AI-Driven Document Ingestion and Understanding:
Using advanced NLP and LLMs, the platform ingested technical documents across MBSE and SysML, extracting meaningful entities, relationships, and requirements to support faster comprehension and categorization.
Automated Change Impact Analysis
By leveraging GenAI and automation, the platform identified and highlighted changes across related documents, enabling users to trace downstream impact in real time and reducing manual effort significantly.
SysML Diagram Generation
Generated visual SysML representations from textual requirements, bridging the gap between functional descriptions and engineering models to support decision-making and collaboration.
Reusable Knowledge Modules
Created AI-assisted reusable components that enabled knowledge sharing across documents and projects, driving consistency and reducing duplication.
Interactive Search and Query Interface
Enabled natural language queries across documentation, delivering accurate, context-rich responses with high precision to support engineering workflows.
Indium Drives Tangible Outcomes in Engineering Productivity and Accuracy
20% Effort Savings Through Automation
Reduced manual time spent on tracking and validating document changes, resulting in significant productivity gains and faster turnaround on change requests.
85% Accuracy in Information Retrieval
Advanced LLMs delivered highly relevant and accurate responses to business users, boosting confidence and accelerating project execution.
Increased Reusability and Efficiency
With reusable AI components and standardized knowledge modules, teams improved consistency across documentation while reducing effort duplication.
About Indium
Indium is an Al-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative Al, Product Engineering, Intelligent Automation, Data & Al, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact.
With 5,000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology-driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an Al-first world.
