I presented at a webinar about Data, AI & Governance for the Future of Social Housing on 10 June 2026 11:00am – 12:00pm
Social housing organisations are under growing pressure to do more with data. From improving resident satisfaction to evidencing compliance with safety, consumer, and data protection obligations, the demands are rising, and so are expectations around AI.
But for many housing associations, the foundations aren't in place yet. Data sits in disconnected systems, quality is inconsistent, and there's no clear accountability for who owns what. Without that structure, AI adoption carries more risk than value, and compliance becomes harder to evidence.
We took a step back from the technology conversation and focus on what actually needs to come first: clear data ownership, consistent data quality, and a joined-up approach that supports compliance and responsible AI adoption.
The session agenda was
- Why operational accountability gaps around data are increasing risk for housing organisations.
- What the common pitfalls look like when tools are adopted without clear ownership, structure, or intent.
- How Microsoft Purview fits into a wider governance and assurance framework as part of the journey, not the starting point.
- Real-world examples of how housing associations are approaching data governance today.
- What AI assurance means in housing. From knowing what data AI relies on, who is accountable to how decisions can be evidenced to regulators and residents.
This session was created to give you clarity on where to start and what to prioritise next.


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