AI 模型和平台
Heimstaden 使用 OpenAI 重修放电和财产操作
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海姆施塔登正使用ChatGPT Enterprise和Codex来重修房屋租赁，环境风险分析以及地产运营，OpenAI 称于2026年11月3日报告荷兰地产形象生产成本下降99%以上。
欧洲住宅房地产运营商在2025年6月加快了AI计划，并在评价了多个平台后选择了OpenAI. 其战略是将雇员培训和工具获取结合起来，这是一个中央转型办公室，由AI冠军网络提供支持，并为AI编制财产管理系统和数据模型。 其目的是重新设计完整的业务流程，同时雇员保留决策责任。
AI 贯穿工作流
房屋空置后，海姆施泰登让工作跨越租房估价、摄影、广告和市场需求。 AI现在通过ChatGPT Sites所建工具支持定价建议，风格化地产图像和写公寓描述。 AI agent根据公司质量标准审查现场广告，而AI产生的市场反馈有助于让团队采取纠正行动，使定价更具活力。
工作人员仍然是决策者，大赦国际处理更多的分析和生产工作，导致他们的批准。 这改变了围绕空缺的工作流程，同时又不取消对雇员的审查。
Heimstaden 称在荷兰制作一个几乎是舞台的财产图像的费用从大约50欧元下降到不到0.10欧元，估计仅这一市场每年的储蓄潜力就达130 000欧元。 节省的资金属于更广泛的重新设计，即协调定价、广告、上市审查和市场反馈，而不是把它们作为单独的任务。
代码支持环境风险分析
除了允许外，环境可持续性分析师Julia Erlandsen尽管没有软件开发背景，但还是使用Codex进行一揽子环境风险评估。 必要的信息通过公共来源、格式和数据集传播。
埃兰德森使用Codex来查找，清理和规范数据，检查数据质量，并创建可以反复运行的处理管道。 她保留了对方法的控制，并亲自验证了工作，将分析决定留给领域专家。
OpenAI报告说，该项目评估了20,112项资产，产生了600多万行有用的数据。 估计的交付需求从一年工作的5人降至两个月工作的2人，海姆斯塔登避免聘用外部顾问。 该项目正在成为气候风险评估、报告要求和投资人决策的可重复能力，由海姆斯塔登拥有并能够进一步发展这一方法。
雇员控制构建下一个系统
2025年9月在海姆施塔登的ChatGPT Entertainment 发布。 OpenAI报告说，有一半的雇员在两至三个月内使用该软件。 中央转型办公室维持一个使用案例图书馆，使工作人员能够学习业务中其他地方的例子。 雇员在数据安全规则范围内使用经批准的工具，在发送前必须审查AI生成的内容。
收养也超出了基于办公室的分析范围。 在挪威，一名看守人利用ChatGPT来评估被忽略的公寓，并把观察变成优先的翻修计划，看守人可以审查和完善。 这个例子说明了Heimstaden的分工：AI负责组织信息并提议计划，而雇员仍对结果负责。
海姆斯塔登的路线图将这一模式推向核心业务系统。 其采购情报平台目前正在推出，将工作流程自动化与通过API访问的OpenAI模型相结合。 它旨在在整个Outlook、SharePoint和小组中运作，支持合同分析、谈判准备和合同生命周期管理。 雇员仍负责商业决策和批准。
海姆斯塔登还共同开发了Amplio Estate(英语：Amplio Estate)，这是一个财产管理系统，旨在通过MCP支持AI动力工作流程。 其目标是让员工使用ChatGPT等AI来获取财产信息，并在人类监督下在核心业务系统中采取行动。 这项工作支持公司对日益自我经营的建筑物的长期抱负，AI帮助预测需求，协调工作和支持整个财产生命周期的决定。
该路线图将AI从编制清单和分析扩展到业务系统内采取行动。 这使得员工监督成为海姆施塔登计划的核心：它关于日益自我经营的建筑物的愿景仍然赋予负责房屋和客户的人审查、验证和批准。
本文由 AI图鉴自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
AI Models & Platforms
Heimstaden Uses OpenAI to Rework Letting and Property Operations
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Heimstaden is using ChatGPT Enterprise and Codex to rework home lettings, environmental-risk analysis and property operations, OpenAI said on November 3, 2026, reporting a reduction of more than 99% in Dutch property-image production costs.
The European residential real estate operator accelerated its AI program in June 2025 and selected OpenAI after evaluating several platforms. Its strategy combines employee training and tool access, a central transformation office supported by a network of AI champions, and preparation of property-management systems and data models for AI. The aim is to redesign complete business processes while employees retain responsibility for decisions.
AI Across the Letting Workflow
When a home becomes vacant, Heimstaden’s letting work spans rental valuation, photography, advertisements and responses to market demand. AI now supports pricing recommendations through tools built in ChatGPT Sites, styles property images and writes apartment descriptions. An AI agent reviews live advertisements against the company’s quality standards, while AI-generated market feedback helps letting teams take corrective action and make pricing more dynamic.
Staff remain the decision-makers, with AI handling more of the analysis and production work leading up to their approvals. That changes the workflow surrounding a vacancy without removing employee review from the process.
Heimstaden said the cost of producing a virtually staged property image in the Netherlands fell from approximately €50 to less than €0.10, and estimated annual savings potential of €130,000 in that market alone. The saving sits within a broader letting redesign that coordinates pricing, advertising, listing review and market feedback rather than treating them as separate tasks.
Codex Supports Environmental-Risk Analysis
Beyond lettings, environmental sustainability analyst Julia Erlandsen used Codex for a portfolio-wide environmental-risk assessment despite not having a software-development background. The necessary information was spread across public sources, formats and datasets.
Erlandsen used Codex to find, clean and standardise the data, check its quality and create processing pipelines that could be run repeatedly. She retained control of the methodology and validated the work herself, keeping the analytical decisions with the domain specialist.
OpenAI reported that the project assessed 20,112 assets and generated more than six million rows of useful data. The estimated delivery requirement fell from five people working for a year to two people working for two months, and Heimstaden avoided engaging external consultants. The project is becoming a repeatable capability for climate-risk assessments, reporting requirements and investor decision-making, with Heimstaden owning the methodology and able to develop it further.
Employee Controls Shape the Next Systems
ChatGPT Enterprise launched at Heimstaden in September 2025. OpenAI reported that half of employees were using it within two to three months. The central transformation office maintains a library of use cases so staff can learn from examples elsewhere in the business. Employees use approved tools within data-security rules and must review AI-generated content before sending it.
Adoption also extends beyond office-based analysis. In Norway, a caretaker used ChatGPT to assess a neglected apartment and turn observations into a prioritised refurbishment plan, which the caretaker could review and refine. The example illustrates Heimstaden’s intended division of labour: AI organises information and proposes a plan, while the employee remains responsible for the outcome.
Heimstaden’s roadmap moves that model into core business systems. Its Procurement Intelligence Platform, currently being rolled out, combines workflow automation with OpenAI models accessed through APIs. Designed to operate across Outlook, SharePoint and Teams, it supports contract analysis, negotiation preparation and contract lifecycle management. Employees retain responsibility for commercial decisions and approvals.
Heimstaden is also co-developing Amplio Estate, a property-management system intended to support AI-powered workflows through MCP. Its goal is to let employees use AI such as ChatGPT to retrieve property information and take action in core business systems with human oversight. This work supports the company’s longer-term ambition for increasingly self-operating buildings, where AI helps anticipate needs, coordinate work and support decisions across the property lifecycle.
The roadmap extends AI from producing listings and analysis to taking action inside operational systems. That makes employee oversight central to Heimstaden’s plans: its vision of increasingly self-operating buildings still assigns review, validation and approval to the people responsible for homes and customers.
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