Awaab’s Law changed the game. Your housing team is doing more compliance with fewer people.
Temporary accommodation costs at record levels. Homelessness presentations rising. Allocations still manual — housing officers matching families from spreadsheets. Awaab’s Law adding new statutory deadlines. Demand invisible until it arrives — no predictive capability.
No off-the-shelf housing AI exists. And generic tools won’t get you there.
Generic AI tools don’t understand allocations policies, TA cost modelling, or Awaab’s Law compliance timelines. Your data is siloed across housing management, homelessness, and repairs systems. The patterns are there — but nothing on the market is designed to read them.
You need AI built with your team, not configured by someone who’s never run a housing service. The domain knowledge lives with your housing officers. The technology and method live with us. Neither one works without the other.
Nobody’s done this yet — we build it with you, on your platform, you keep it.
The proven pattern
This is the same model that built every Genie product. EHCP Genie started inside one council and is now live in 40. Needs Assessment Genie was co-created with social workers at Wigan — that council went on to score the highest CQC rating in England (95 out of 100). Minutes Genie was built with committee officers and is now in 10+ councils.
The pattern is the same every time: start with the practitioners, build on their platform, prove it in live service, then scale. It works because the people who do the job shape the tool.
Housing is active
Wigan co-creation sessions are underway. Housing was selected as MVP1 after “Listen Deeply” prototyping identified Awaab’s Law compliance and RSH inspection pressure as the most immediate drivers. The work is happening now.
Opportunity areas
TA matching
Matching families to suitable temporary accommodation considering needs, location, cost, and availability.
Demand prediction
Modelling homelessness demand before it materialises, using patterns in your own data.
Allocations optimisation
Optimising allocations against policy criteria, reducing manual matching and improving outcomes.
Let’s be honest: there is no live housing AI product today. This is new ground. The method is proven — the domain is new. That’s exactly how every Genie product started.
What housing AI could look like
Imagine AI that models demand before it materialises — seeing homelessness presentations coming weeks ahead, not the morning they arrive at reception. AI that matches families to suitable properties by weighing needs, location, cost, and availability — not from a spreadsheet, but from live data across your housing stock.
Allocations optimised against your policy criteria, automatically. Awaab’s Law compliance risks flagged before they become breaches — damp, mould, and hazard timelines tracked across your repairs system without a housing officer manually chasing every case.
This is the direction. Not a product you can buy today — a product we build together, with your housing team, inside your council, on your Microsoft tenancy. You own it. You shape it. We bring the AI engineering and the incubator method.
How we start: the Discovery Day
A structured working session with your housing leadership and frontline team. We map your data landscape, identify where AI can have the fastest impact, and define the first use case worth building. No slides. No generic demo. A conversation about your housing service, your data, and what’s possible.
Discovery Day
Map your housing data, identify the highest-value AI use case, agree scope for a co-creation sprint.
Co-creation sprint
4–8 weeks. Your housing officers work alongside our AI engineers to build the first working tool on your data.
Prove it live
Test in real service. Measure impact. Decide whether to scale, adjust, or stop — based on evidence from your own team.
We’ll show you what AI can see in your data. One day. Your housing team, your data, our method. No commitment beyond the conversation.
Discovery Days are free. We ask that your head of department sponsors the session and brings the people who can make decisions and make things happen.
Or email us directly: info@agilisys.co.uk