The AI automatically organizes past response history and updates the FAQ! A PoC will be conducted in two months, with full implementation in the third month.
We would like to introduce a case where "generative AI" was implemented for knowledge organization in the manufacturing industry (production department). In the company, the trouble response manuals for the manufacturing process were dispersed, making it time-consuming to find the necessary information. To address this, an AI agent utilizing RAG was introduced, integrating the manuals and trouble case database within the factory. This led to a reduction in trouble response time. [Case Overview] ■ Challenges - The burden on veteran employees concentrated due to the lack of knowledge among younger engineers. - Past cases were not systematically managed, leading to a reliance on individual responses. ■ Results - Improved response capabilities of new engineers reduced the burden on veteran employees. - Shortened trouble response time and reduced production line downtime. *For more details, please refer to the related links or feel free to contact us.
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Homula Inc. aims to fundamentally transform corporate productivity through the development and provision of the AI agent "Agens," which understands and executes business tasks related to daily business communications such as meetings, emails, and chats. We integrate multimodal information such as voice and text, allowing AI to autonomously process the "ToDos" that arise from daily communication. We provide an environment where the insights and judgments of talented personnel can be converted into knowledge assets and deployed across the organization as reproducible processes. In recent years, we have strengthened our collaboration with the globally recognized no-code automation platform "n8n." By combining the convenience of n8n, which allows for intuitive integration with business systems and SaaS, with Agens's natural language understanding and complex task execution capabilities, we are achieving a hybrid of user-friendly and advanced AI workflows in the field. From in-house business development by non-engineers to enterprise-level security compliance, data integration, and governance design, we support the entire process from Proof of Concept (PoC) starting in as little as two weeks to implementation, establishment, and self-sustainability.
![Example: [Recommendation of Parameters by Generative AI] Automotive Parts Manufacturer](https://image.mono.ipros.com/public/product/image/e8a/2001514080/IPROS11808107967385319527.jpg?w=280&h=280)
