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メンバーズ

addressTokyo/Chuo-ku/Harumi Office Tower X, 37th floor
phone03-5144-0660
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last updated:Jan 21, 2026
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AI AI
サービスデザイン・UX サービスデザイン・UX
プロジェクトマネジメント プロジェクトマネジメント
プロダクト・システム開発 プロダクト・システム開発
データ活用 データ活用
マーケティング マーケティング
SaaS活用 SaaS活用
脱炭素DX・サーキュラーエコノミー 脱炭素DX・サーキュラーエコノミー
AI

AI

企業がAIを活用するにあたって課題となる人材不足。メンバーズではDX・AI・機械学習などの専門人材を提供することで、お客さまのAI活用やリスキリング、PoCを推進します。 また、その他の最新テクノロジーを組み合わせることで、業務効率を改善し、競争力を強化します。

DX in-house production consulting and execution support services

Break free from external dependence and become a strong organization capable of completing DX in-house.

This is a DX field support service aimed at improving a company's "in-house execution capability," based on a unique method developed over 30 years of experience. Digital personnel become part of the client's organization and carry out tasks at a practical level, from building data infrastructure to utilizing AI and transforming business processes. It is not merely a task outsourcing service; the goal is to build an "autonomous organization" while accumulating know-how. Through long-term efforts, the purpose of this service is to maximize the ROI (return on investment) of digital investments. *Specific support schemes for successfully internalizing DX are published in this document.

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Generative AI Utilization and Business Process Transformation Solutions

Reduce operational costs by 40% through automation with AI and maximize productivity.

We will integrate cutting-edge generative AI technology into on-site business processes to establish an efficient operational system that eliminates dependency on specific individuals. As a director of the General Incorporated Association Generative AI Japan, I will utilize the advanced knowledge accumulated to assist in practical tasks such as RFP creation, code development, and manual preparation. We will not only introduce tools but also support the transformation of the organization into one that accumulates "internal knowledge" through AI, independent of human labor and skills. By combining 30 years of operational methods with advanced AI, we will optimize costs and quality. *The specific workflow for business transformation through AI utilization is explained in this document.

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[Case Study] Benesse: Cost Reduction through the Development of Proprietary AI Tools

Reduced web production lead time from 8 weeks to 3 weeks. Achieved a 40% cost reduction.

This is an example of dramatically improving the speed and quality of production through a fundamental review of the utilization and operational flow of generative AI. We independently developed a text generation AI tool specifically for our customers and standardized production skills by introducing a no-code CMS. We achieved overwhelming efficiency by reducing the delivery time to less than half, cutting production costs by 40%, and reducing operational resources by 70%. Through the transformation of business processes, we have created an environment where employees can focus more on enhancing high-value experiences. *Specific results of productivity improvement through generative AI can be confirmed in the materials.

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