HAILIE Programme

Events and recordings

HAILIE runs short, high-value virtual sessions and roundtables on responsible AI in social housing every four weeks. Join the mailing list to receive invites.

How HAILIE sessions work

HAILIE runs free, vendor-neutral virtual sessions approximately every four weeks. Sessions are typically 45–60 minutes and include a short talk, peer discussion or themed breakouts.

Some sessions are themed — exploring AI governance, tenant impact, specific tools, case studies or automation. Others are open for sharing current challenges and progress.

Recordings are published publicly on YouTube where available. Summaries are shared with mailing list subscribers.

Free and vendor-neutral

All HAILIE sessions are free. There are no sales pitches. Vendors and consultants can participate transparently but not to promote their products.

Session themes

Governance Tenants Automation Evidence AI Training Case Studies Data Quality Copilot Hackathon Repairs Small Providers
Upcoming sessions

Upcoming HAILIE sessions

Join our interactive community roundtables. Subscribe to the mailing list for an invitation.

11 Sept 2026 9:30 – 10:30 AM For Leaders

AI in Social Housing - A Sector View

Lisa Buckingham, Director of Data & Digital at Clarion Housing

This is a candid, non-technical session designed for leaders (CEOs, NEDs, etc) and those in the organisation trying to deliver AI-led performance improvement.

Lisa will share Clarion's real-world journey into AI — what's working, what isn't, and what's still emerging. She'll explore lifelong learning, capability gaps, organisational adoption, and the risks and skills challenges the sector is navigating.

9 Oct 2026 9:30 – 10:30 AM Data Integrity

Regulator's View on Data Integrity

Amanda Hall, Assistant Director Business Intelligence and Data Strategy, and Responsible Statistician at the Regulator of Social Housing

We are delighted to confirm our guest speaker will be Amanda Hall from the Regulator of Social Housing.

Amanda will speak about the Regulator's view on data integrity; more information on this will follow.

2025–26 Programme

Past HAILIE sessions

Date Format Topic and speakers Themes Recording
10 July 2026 Single talk High Street to Housing: Hard-Won Lessons in AI Transformation
HAILIE meeting writeup
Case Studies Read writeup
2 April 2026 Single talk Roadmap Launch
HAILIE organisers
Roadmap Watch
6 March 2026 Single talk Hackathon Lessons Learned
Hackathon organisers
Hackathon Watch
26 February 2026 Hackathon Hackathon test run
Guy Marshall, Eve Hazlett, Jason Kingston, Chris Watterson, Peter Lunio, Tom Stephenson
Hackathon Limited invitations
6 February 2026 Single talk Evidence and How We Measure
Rob Rowland
Evidence Watch
27 January 2026 Single talk Leadership, ethics and the practical use of AI in social housing Leadership Watch
9 January 2026 Single talk AI: 2025 and 2026
Carolina Padovezi de Oliveira, Guy Marshall
AI Review Watch
December 2025 Two 30-min sessions Transforming Housing with AI
Phil McCavish, Stephen Batley
Case Study Watch
November 2025 Talk + breakouts AI and Tenants
Shakirah Akinwale
Tenants Watch
October 2025 Short talks AI and Governance
Abi Rennison, Hawkes, Tom S, Claire P
Governance Watch
September 2025 Themed breakouts Platformizer, GPT-5, AI Training, Automation
All participants
AutomationAI Training Watch
July 2025 Data-gathering breakouts Real-World GenAI in Housing Case Studies No recording
June 2025 Lightning round Case Studies
Dungworth, Shaw, Shephard, Hawkes
Case Studies No recording
Get involved

Suggest a topic or offer to speak

HAILIE sessions are shaped by the community. If you have a topic you would like to explore, a case study you are willing to share, or a challenge you want to bring to peers, get in touch.

We welcome topic suggestions, speaking offers, practical demonstrations, hackathon ideas, survey contributions and case study volunteers.

Email: guy@housingai.org

Topics we would like to explore

AI in repairs and damp and mould detection

Microsoft Copilot implementation experiences

AI and complaint handling

Data quality for AI readiness

Benefits measurement and value evidence

AI in asset management and planned maintenance

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