65% of housing professionals say AI has improved productivity. Only 21% can demonstrate a return on investment. Get exclusive access to the findings that explain the gap, and how to close it.
What you’ll get access to
This isn’t another AI opinion piece. It’s evidence from people working in the sector, showing how landlords are actually using, governing and scaling AI. Inside, you’ll find:
- What housing providers are actually using AI for, from damp and mould analytics to complaints analysis and board reporting
- The rise of AI agents and what it means for housing
- Why organisations are struggling to scale, and the barriers holding them back
- Where governance is advancing and where confidence is still fragile
- Housemark’s AI maturity framework, so you can see where your organisation sits
- Practical recommendations and next steps for the next 12 months
The challenge?
The question every housing leader is now facing
AI is already part of day-to-day work across social housing. The challenge now is turning scattered experimentation into consistent, measurable impact. Skills, legacy systems, data quality and budgets are all getting in the way, and 59% say improving data quality and upskilling staff are their top priorities for the year ahead.
Who it’s for?
For the people making AI decisions
Whether you’re setting strategy at board or executive level, leading data and digital, or running frontline services, this research gives you the evidence to build a business case, benchmark your progress and plan your next move.