Koiwai Milk Advances Data Infrastructure Development for AI Transformation, Rebuilding Governance with 'Kimino Mahoro for kintone'
Koiwai Milk has established an AI Transformation Office and is rebuilding kintone governance with support from R3 Institute.
📋 Article Processing Timeline
- 📰 Published: June 10, 2026 at 14:00
- 🔍 Collected: June 10, 2026 at 14:22 (22 min after Published)
- 🤖 AI Analyzed: June 11, 2026 at 01:29 (11h 6m after Collected)
R3 Institute has published a case study on business improvement at Koiwai Milk using its kintone utilization service, 'Kimino Mahoro for kintone.'
Background and Challenges
Koiwai Milk is promoting digital transformation and established an 'AI Transformation Office' in October 2025. In preparing its data infrastructure for AI, the company faced two main challenges:
1. Absence of kintone governance (difficulty in tracking due to app sprawl).
2. Absence of a 'common language' (data definitions) between departments.
The company is using 'Kimino Mahoro for kintone' from R3 Institute to receive support from the upstream process, including the formulation of governance rules.
Future Prospects
The framework for governance rules has been established, and the project is now in the adoption phase. The company aims to establish a labor-saving mechanism where data is managed correctly, leading to a cycle where the field leads autonomous improvements. For details, visit https://www.r3it.com/case/koiwaimilk.
Background and Challenges
Koiwai Milk is promoting digital transformation and established an 'AI Transformation Office' in October 2025. In preparing its data infrastructure for AI, the company faced two main challenges:
1. Absence of kintone governance (difficulty in tracking due to app sprawl).
2. Absence of a 'common language' (data definitions) between departments.
The company is using 'Kimino Mahoro for kintone' from R3 Institute to receive support from the upstream process, including the formulation of governance rules.
Future Prospects
The framework for governance rules has been established, and the project is now in the adoption phase. The company aims to establish a labor-saving mechanism where data is managed correctly, leading to a cycle where the field leads autonomous improvements. For details, visit https://www.r3it.com/case/koiwaimilk.
FAQ
小岩井乳業がkintoneのガバナンス再構築に取り組む理由は？
AI活用を見据え、信頼できるデータ基盤を構築するためです。
アールスリーの「キミノマホロ for kintone」を採用した理由は？
ワークショップを通じた上流工程からの伴走支援が評価されたためです。
kintone活用における課題は何でしたか？
ガバナンスの不在と、部署間でのデータ定義の不一致です。
プロジェクトの今後の展望は？
現場主導で改善が行われる自律的なサイクルの実現を目指しています。
小岩井乳業が新設した部署は？
2025年10月に「AI変革推進室」を新設しました。