Temporary accommodation has become a major fiscal and administrative pressure for English local authorities, particularly in London, where demand and costs have risen sharply. This paper documents the creation and use of DOMUS, a cloud-based, AI-enabled decision-support system built from scratch at the University of East London and customised for the needs of London Borough of Newham to support statutory Temporary accommodation placement. DOMUS integrates household case records, policy-constrained affordability and suitability rules, and live private-rental listings within a single governance-aligned workflow. The system combines transparent, rule-based filtering with large language model-assisted search to standardise the application of bedroom need, affordability thresholds, geographic preferences, and accessibility requirements, while preserving officer discretion and audibility. Household and property attributes are encoded into policy-consistent representations prior to AI-assisted ranking and explanation. A pilot deployment in Newham's secure environment evaluated operational performance relative to manual workflows. Results indicate substantial reductions in search time, improved adherence to key placement constraints, and high staff satisfaction, while maintaining statutory compliance and role-based accountability. Beyond TA, the paper frames DOMUS as replicable digital public infrastructure: a modular, cloud-native Software-as-a-Service architecture that can be deployed across other UK boroughs and adapted to other public administration tasks characterised by scarcity, rule-bound eligibility, and high stakes. The findings demonstrate the feasibility of scalable, ethically governed AI deployment in local government and contribute to debates on AI-enabled public value creation in e-governance.

翻译：临时住所已成为英国地方当局，尤其是伦敦地区，在财政和行政管理方面的重大压力来源，当地需求与成本急剧上升。本文记录了DOMUS系统的创建与应用——这是一套由东伦敦大学从零构建的云端AI辅助决策支持系统，并针对伦敦纽汉姆区的特定需求定制，以支持法定临时住所安置工作。DOMUS将家庭个案记录、政策约束下的可负担性与适宜性规则，以及实时私人租房信息整合至统一治理流程中。该系统结合了透明的规则筛选与大语言模型辅助搜索，标准化了卧室需求、可负担性阈值、地理偏好及无障碍要求等要素的应用，同时保留了官员的裁量权和可审计性。家庭与房产属性在AI辅助排序与解释前被编码为符合政策一致性表述。在纽汉姆区安全环境中的试点部署，针对手动工作流程评估了操作性能。结果显示，搜索时间显著缩短，关键安置约束的遵守程度提升，员工满意度高，同时保障了法定合规性与基于角色的问责制。除临时住所领域外，本文将DOMUS定位为可复制的数字公共基础设施：一种模块化、云原生的软件即服务架构，可部署于英国其他行政区，并适配至其他以资源稀缺、规则导向资格认定及高利害性为特征的公共管理任务。研究结论证明了在地方政府中可行且伦理可控的AI规模化部署，并推动了关于AI赋能电子政务公共价值创造的学术讨论。