Awaab’s Law Comes Into Force

Hazards in Social Housing (Prescribed Requirements) (England) Regulations 2025, commonly referred to as Awaab’s Law, comes into force for the social rented sector from today, 27 October 2025.

From this point social landlords will have to address all emergency hazards and all damp and mould hazards that present a significant risk of harm to tenants to fixed timeframes.

The AI-DOMP platform analyses existing and retrofit building designs to proactively identify areas prone to mould growth. It generates a comprehensive assessment and retrofit options report using visual aids such as graphs and charts to enhance clarity and ease of understanding.

Tech Prosperity Deal Sparks AI Boom and Quantum Leap Potential

The bilateral agreement between the UK and the USA includes investment from major American tech firms into the UK’s AI and tech infrastructure.

This initiative is expected to create thousands of new jobs, with the Northeast alone projected to become an AI Growth Zone.

AI startups are set to attract increased investor interest as new solutions emerge. For us at AI-DOMP, this presents a valuable opportunity for early engagement with our platform, particularly in addressing Awaab’s Law, which comes into effect on 27 October.

We’re leveraging AI as an early diagnostic tool to support compliance and improve outcomes.

Damp and Mould Still Dominate Housing Complaints as Awaab’s Law Nears Enforcement

At the Housing Community Summit 2025 held in Liverpool, these questions were posed to the speakers as they addressed the implications of Awaab’s Law.

• Real-world examples of how AI is helping landlords combat damp and mould.
• How machine learning identifies and prioritises potential repairs, enabling proactive responses.
• Discover how social landlords can harness machine learning to deliver smarter, faster, and more effective repair services, alleviating one of the sector’s most pressing challenges

AI-DOMP features three key functionalities: a predictive model for assessing building performance, retrofit evaluation, and the ability to generate a comprehensive assessment.

Damp and Mould Still Dominate Housing Complaints as Awaab’s Law Nears Enforcement

On the closing day of the Housing Community Summit 2025, the Housing Ombudsman Service confirmed that damp and mould remain the most reported issues in the social housing sector.

The Ombudsman Service presented findings and urged landlords to adopt a proactive approach ahead of the rollout of Awaab’s Law, which comes into effect on 27 October 2025.

The session emphasized the critical role of data-driven strategies, encouraging landlords to detect early signs of hazards and maintain accurate records to support timely interventions.

AI-DOMP Honoured with 2025 RISE Award

The RISE Award recognises emerging best practices in research, innovation, sustainability, and enterprise across pioneering products, technologies, processes, projects, and schemes.

This award is a collaborative initiative between Leeds Beckett University, the University of Suffolk, the University of the West of England (Bristol), and Loughborough University, judged by a distinguished panel of experts.

AI-DOMP Shortlisted for the 2025 RISE Award

Following the introduction of Awaab’s Law, AI-DOMP was developed as an AI-powered desktop platform designed to address mould-related issues.

We are honoured to announce that AI-DOMP has been recognised and shortlisted for the prestigious 2025 RISE Award.

The universities’ RISE Award is an Academic honour celebrating exemplary case studies in the Built Environment.

These studies highlight emerging best practices in research, innovation, sustainability, and enterprise across pioneering products, technologies, processes, projects, and schemes.

Housing 2025 Manchester: Is the Industry Ready for Awaab’s Law?

We attended to spotlight AI-DOMP, join sessions on Awaab’s Law and mould-focused products, reconnect with peers and mentor students.

Sessions were well attended, with speakers stressing the 27th October 2025 deadline for Awaab’s Law. The most popular session highlighted the need for landlords to understand their stock.

Some social landlords haven’t started preparing, despite only three months left. With 4.5 million social homes and the private sector next, Awaab’s Law will soon cover over 10 million properties. The Housing Ombudsman urges landlords to act proactively, not reactively.

AI-DOMP will be exhibiting at the upcoming BridgeAI Showcase on 16th June 2025

The event will feature 40 start-ups showcasing innovative AI technologies across four high-growth industry sectors.

Awaab’s Law, which mandates stricter housing standards, will take effect on 27th October 2025 for social landlords and in 2026 for private landlords.

In alignment with the advancement of Awaab’s Law, the AI-DOMP platform is now live for beta testing on laptops and mobile devices until the end of August 2025.

AI-DOMP Now Live 

As part of the advancement of Awaab’s Law, set to take effect in October 2025, the AI-DOMP platform is now live for beta testing on laptops and mobile devices. AI-DOMP (AI Enabled Design Diagnostics and Optimisation System for Mould Prevention) aims to support landlords in proactively addressing properties susceptible to damp and mould. By sharing this AI-DOMP Beta platform with others, we can gather valuable input and drive meaningful change together.

Ombudsman shares latest learning from complaints

Landlord failings on inspections leaving children exposed to damp and mould, as Ombudsman shares latest learning from complaints.

AI-DOMP Exhibition

This prestigious event will feature 40 startups, chosen from hundreds of applicants, showcasing their cutting-edge AI technologies across the four high-growth industry sectors.

The keynote speaker at the event will be Feryal Clark MP, Minister for AI & Digital Government at the Department for Science, Innovation and Technology.

AI-DOMP highlighted 

Over 100 projects to receive funding to trial productivity-boosting artificial intelligence (AI) tools for businesses. AI-DOMP is highlighted as one of four AI project helping businesses to improve productivity by UKRI