105. Building In-house Knowledge AI (RAG)
We will AI-enable the "people you know" within the company. We will build an internal knowledge AI (RAG) that can cross-reference documents, emails, and meeting minutes to provide immediate answers.
When internal knowledge becomes personalized, decision-making and responses slow down. Past proposals, estimation bases, specification judgments, trouble responses, transaction conditions, and FAQ response histories. When necessary information is in "people's heads" or "scattered files," the time spent searching increases, the quality of responses fluctuates, and handovers become disorganized. This service will build a knowledge AI (RAG) that can provide answers while searching and referencing internal documents. It is not just a simple chat; through the design of **"presenting the basis (source) and adhering to the scope of answers,"** it suppresses misinformation and speculative responses. We will create a state where sales, technical, and support teams can respond based on the same standards, thereby enhancing internal productivity and response speed. ■ Provided Content (3 points) 1. Knowledge inventory and design (target documents, classification, permissions, updates) 2. RAG construction (searching, summarizing, presenting basis, including UI/operations) 3. Guardrail maintenance (areas not to answer, audit logs, improvements) *First, please let us know the "location of the documents you want to use (Drive/SharePoint, etc.)" and the "usage purposes by department (sales/technical/CS)." We will design it as quickly as possible.*
- Company：アンドワン 本社、東京支社、川崎営業所
- Price：Other
