# Generative AI in Aerospace: Role-based Workflows and Decision-Making .png) ## Legion’s AI Summary Discover how generative AI is changing aerospace operations for the better: - **Test Engineers:** Streamline non-conformance reporting with enterprise search capabilities. - **Technicians:** Enable prescriptive maintenance for accurate troubleshooting and reduced downtime. - **Supply Chain Analysts:** Optimize vendor performance through automated data analysis. Legion is leading the transformation with advanced [Retrieval Augmented Generation (RAG)](/content/blog/rag-enterprise-ai-advancements/index.html) and Large Language Models (LLMs). Keep reading to learn more about the future of aerospace with Legion. The aerospace industry demands precision, efficiency, and innovation, with every role crucial for ensuring safety and security. Teams have vast amounts of historical information that helps meet these demands, but this same information can become overwhelming when spread across multiple systems, making finding answers challenging. This is where [generative AI in aerospace](/content/enterprise/aerospace-industry/index.html) comes into play, offering an approach that streamlines processes and enables aerospace professionals to work smarter, not harder. To learn more about the transformative impact of generative AI (GenAI) on aerospace operations, visit this blog post: [_Transforming Aerospace Operations with Generative AI_](/content/blog/transforming-aerospace-operations-with-generative-ai/index.html) ## Test Engineers: Non-Conformance Reports Test engineers play a crucial role in the aerospace industry, ensuring that all components and systems operate flawlessly. When a part does not meet a set standard, they fill out a non-conformance report (NCR) with the details of the issue and eventual fix. The difficulty in accessing NCRs can significantly delay problem diagnosis and fixing, leading to increased downtime and potential safety risks. Legion simplifies the job of test engineers by utilizing advanced [enterprise search](/content/blog/future-of-enterprise-search-with-conversational-ai/index.html) capabilities to swiftly locate and compile NCRs from multiple systems. This functionality saves valuable time and enhances the safety and reliability of aerospace systems. Read more about how [Legion helps test engineers](/content/blog/utilizing-generative-ai-in-aviation/index.html). ## Technicians: Prescriptive Maintenance Aerospace technicians are responsible for diagnosing and fixing mechanical issues. Legion can enable prescriptive maintenance by automatically analyzing fault codes and providing the most likely fix based on past outcomes. This prescriptive approach ensures technicians can quickly implement the most effective solutions. ## Supply Chain Analyst: Vendor Optimization Supply chain teams assess supplier performance to allow for quick development while optimizing costs. Legion automates the process of data retrieval and analysis, quickly aggregating data from various sources to inform supply chain teams about vendor performance. ## Project Management: Ticket Resolution In the aerospace industry, engineers rely on ticketing systems to manage complex tasks. To reduce the burden of tickets, self-service options can be enabled, allowing engineers to find answers quickly without disrupting others' work. ## The Future of Aerospace with Legion Secure AI Enabling employees to quickly find answers in increasing volumes of information will be crucial for maintaining quality and safety. Legion Secure AI leverages advanced [Retrieval Augmented Generation (RAG)](/content/blog/rag-enterprise-ai-advancements/index.html) and Large Language Models (LLMs) to help people get answers they can trust, fast. Ready to see Legion in action? [Request a demo](/content/contact/index.html) today and discover how Legion can transform your aerospace operations.