Optimising Temporary Accommodation Placement Across London with AI-Powered SaaS in E-Governance Systems
arXiv:2606.16652v1 Announce Type: cross Abstract: 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 p
Local authorities are facing increasing fiscal and administrative pressure from temporary accommodation, driving immediate need for AI-powered solutions in e-governance.
This exemplifies how AI agents are beginning to be deployed within constrained public sector environments to address complex social and financial challenges, potentially collapsing traditional bureaucratic workflows.
The deployment of AI-enabled decision-support systems like DOMUS demonstrates a shift towards data-driven, automated management of public services previously reliant on manual processes and human discretion.
- · AI-powered SaaS providers for e-governance
- · Local authorities adopting AI for efficiency
- · Households in need of temporary accommodation (potentially more efficient placem
- · Traditional public sector service providers
- · Manual administrative roles in local government
Increased efficiency and cost savings for local authorities in managing temporary accommodation.
Broader adoption of AI-enabled decision-support systems across other public sector services and e-governance functions.
Re-evaluation of public sector staffing and service delivery models as AI agents become more prevalent.
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