AI Control Master Environment Setup

Customer's Goals & Challenges

・ Heavy workload for communication and guidance between development engineers and control masters serving as reviewers
・ Difficulty in transferring the expertise of control masters to new engineering team members

What GAIO Provided

・ Substituted control master expertise using AI
・ Reduced workload by conducting control DR (Design Review) reviews with the AI Master in advance
・ Enabled appropriate design from the early stages of development by transferring professional expertise to AI

Technical Elements

・ Generative AI expertise (prompt engineering, RAG, agent technology)
・ Platforms: Azure, GitHub Actions
・ Frameworks: Flask, React
・ Languages: Python, TypeScript

Value Delivered to the Customer

・ Externalizing, documenting, and converting tacit knowledge into explicit knowledge
・ Centralizing scattered model information and development documents, enabling AI search and improving visibility
・ Extracting the core essence of tasks, automating operations, and driving efficiency using AI agents