Cutting 'Jyusetsu' Time from 4 Hours to 1.6: Industry’s First Task-Breakdown e-Learning for AI in Real Estate Sales Launched

DXHR, Inc. has launched the 'Real Estate Sales Generative AI Mastery Course,' an industry-specific training program for real estate professionals. The 12-hour program breaks down operations into 86 tasks to teach the optimal use of AI.
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  • 📰 Published: May 22, 2026 at 19:00
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DXHR, Inc. (Headquarters: Shibuya, Tokyo; Representative: Kazunari Maeda) has announced the launch of the 'Real Estate Sales Generative AI Mastery Course,' an industry-specific generative AI training program for real estate professionals.

This 12-chapter, 12-hour e-learning program systematically teaches how to integrate generative AI into every aspect of real estate sales operations. Based on industry literature and standardization research, the course breaks down real estate sales into 86 tasks, categorizing them into four levels: 'Automation,' 'Collaboration,' 'Support,' and 'Human Judgment.' Participants learn how to utilize 12 different AI tools—including ChatGPT, Claude, and Gemini—and acquire practical prompts specifically for the real estate industry through video lectures, assignments, and live demonstrations.

■ Background and Purpose

Real estate sales involve diverse responsibilities, including creating property brochures (Myso-ku), registering properties on portals, responding to inquiries, property investigations, price assessments, preparing important matter explanation documents (Jyusetsu), contract maintenance, and tax calculations. In particular, creating the Jyusetsu document requires integrating data from land registries, legal regulations, management bylaws, hazard information, and contract terms. This is a critical task for licensed real estate notaries, often taking approximately four hours per case.

While the adoption of generative AI is spreading rapidly across industries, the real estate sector faces challenges such as, 'We don't know which AI tool to use for which task,' and 'General AI training cannot handle real estate-specific terminology or operational workflows.' DXHR addressed this by creating an 'Operation Breakdown Map' for 86 real estate tasks, defining the optimal role distribution between AI and humans. The training focuses on defining which tasks AI should handle versus human decision-making, rather than just teaching tool operations.

■ Service Overview

This 12-hour e-learning program is composed of 12 chapters across three blocks: 'Introduction/General Skills,' 'Industry Specialization,' and 'Integration/Internal Deployment.'

- Feature 1 | Designed based on the 'Operation Breakdown Map': Systematizes the optimal AI usage by classifying 86 tasks into four levels.
- Feature 2 | Utilizing 12 AI Tools: Tools such as ChatGPT, Claude, Claude Cowork, Gemini, Microsoft Copilot, Canva AI, NotebookLM, Dify, Notta, Gamma, Mapify, and v0 are assigned based on task requirements.
- Feature 3 | Reducing Jyusetsu Preparation Time by ~60%: Chapter 9 covers the entire workflow from brokerage contracts to drafting the Jyusetsu, consistency checks, and generating IT-Jyusetsu slides, reducing preparation time from 4 hours to approximately 1.6 hours.

FAQ

「不動産営業職 生成AI活用マスターコース」とはどのような研修ですか?

不動産営業の現場業務を86項目に分解し、業務ごとに最適なAIツールと活用法を体系的に学ぶ全12章・12時間のeラーニングプログラムです。

この研修で重要事項説明書(重説)の作成時間はどの程度短縮されますか?

従来の作成時間約4時間から、約1.6時間にまで短縮することを目指す内容となっています。

どのようなAIツールが研修で使用されますか?

ChatGPT、Claude、Claude Cowork、Gemini、Microsoft Copilot、Canva AI、NotebookLM、Dify、Notta、Gamma、Mapify、v0の12種類を採用しています。

業務分解マップとは何ですか?

業界書籍や標準化研究に基づき、不動産営業の業務を86項目に分解し、それぞれを自動化・共同・支援・人間判断の4段階に分類したカリキュラムの土台です。

DXHR株式会社がこの研修を開発した背景は何ですか?

汎用的なAI研修では不動産業界特有の業務フローや専門用語に対応できないという課題があり、現場のビジネスパーソンの生産性向上を目指して開発されました。