Manual Standardization AI Development Supporting AI Utilization, RAG Implementation, and AI Proofreading Support

Case Study on Quality Improvement of Large Volumes of Manuals Using Generative AI

At Company C, the large volume of poor-quality internal manuals was a significant issue, and they were considering whether generative AI could change this situation.
From Human Science, we proposed starting with a PoC (proof of concept through a small-scale start) to verify the effects of a hybrid manual quality improvement approach where AI and humans collaborate, as well as the establishment of a sustainable operational system.

Strengthening the production system with lightweight markup support and AI proofreading PoC. A case proposal for creating a document operation platform that avoids dependence on specific individuals.

For Company B, which faces increased workload due to the rise in corporate web manual production, we proposed a direction to build an operational platform that avoids dependence on specific individuals by combining lightweight markup support with generative AI verification, while keeping the internal burden low.

Achieved elimination of individual dependency and strengthened decision-making through manual organization. Also taking on writing with generative AI.

At precision equipment manufacturer A, business decisions based on internal documents varied by person, causing frequent checks and rework. By organizing the way documents are written and establishing a system that allows anyone to create them consistently, we reduced waste in operations and achieved both ease of work and quality.