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JapanHealthcare and life sciences2024 – ongoing

Sawai Group Holdings

Company-wide Gemini and a research RAG assistant for formulation work

Sawai's formulation researchers cut information gathering from up to 4 hours to about 15 minutes with an internal RAG assistant, the company said

WorkingCompany's own claim

Problem

New staff in formulation research spent one to several hours searching past reports for earlier cases and methods when facing a formulation problem.

Approach

The formulation research department built a RAG assistant on Azure OpenAI that draws on past study reports and shows reference links under each answer. Separately, the group introduced Gemini in a closed Google environment for all employees in April 2025. The communications team also used Gemini and NotebookLM for checking figures in drafts.

Results

15分ほどtime for information gathering with the RAG assistant, down from 1 to about 4 hours, as stated by the companyCompany's own claim[1]
80%以上share of department members using the RAG assistant, as stated by the companyCompany's own claim[1]
70〜80%usage rate of company-wide Gemini, as stated by the companyCompany's own claim[1]

Takeaway

A narrow assistant built on a department's own reports was used daily, while the general tool reached most staff.

Categories

Innovation type
Process innovation
AI technology
Generative AI
Evidence
Company's own claim

Sources

Source summaries

[1]SHIFT AI (AI adoption vendor media)27 Jul 2026

An interview with Sawai Group staff on its generative AI use. They described Gemini rolled out in April 2025 and a RAG assistant built by the formulation research department. They said information gathering fell from 1 to about 4 hours to about 15 minutes, and that Gemini usage ran at 70 to 80 percent.

Full details are in the original sources.

Added 2 Nov 2026 · Updated 2 Nov 2026
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