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Home / Free Subscriber Access / Tenants, AI & your biggest compliance risk

Tenants, AI & your biggest compliance risk

As the UK housing sector adopts artificial intelligence, a quiet but profound shift is taking place, driven not by housing providers or software vendors but by tenants themselves.

Armed with AI-powered legal assistants, property condition detection tools and auto-generated complaint letters, tenants can hold housing providers to account with unprecedented accuracy and speed.

For housing providers, this presents an emerging compliance risk that few are prepared for. The threat is no longer limited to regulatory bodies or legal advocates; it now includes every resident with a smartphone.

The rise of well-informed tenants

Tenants now have immediate access to comprehensive guidance grounded in UK legislation.

Whether asking, “what are my rights if my landlord can’t show me my gas safety certificate?” or “what’s the legal standard for roofing repairs?”, tenants can now receive answers in seconds, citing Section 11 of the Landlord and Tenant Act 1985, the Homes (Fitness for Human Habitation) Act 2018 or the relevant local authority’s repair guidance.

These tools can also draft formal letters of complaint, organise timelines of disrepair and recommend next steps, including how to escalate to the Housing Ombudsman or explain the pre-action protocol for a disrepair claim.

Detecting damp and disrepair with AI

While housing providers are still exploring applications of AI, claim.co.uk, in partnership with the University of Salford, has launched an app aimed at transforming tenants’ disrepair problems such as:

  • Damp patches on walls and ceilings;
  • Signs of black mould;
  • Water ingress and condensation-related disrepair;
  • Potential cold and heat loss.

By combining image recognition AI, temperature and humidity data, the app can produce evidence-based reports that tenants can use when contacting their housing provider.

Winning when there’s nothing to lose

Tenant-focused law firms increasingly advertise ‘no win, no fee’ housing disrepair claims, targeting problems such as damp, defective heating, leaks and structural faults. With AI tools, solicitors can:

  • Pre-screen claims to assess viability.
  • Generate letters rapidly and accurately, citing relevant legislation.
  • Guide tenants through legal escalation, even automatically filling forms for court filings or Ombudsman complaints.

This intensifies the burden on housing providers in several ways:

  • Increased volume of claims – AI simplifies the process for tenants, increasing the likelihood of claims being initiated.
  • Evidence-backed cases – Tools such as the University of Salford’s app provide timestamped, photographic documentation, making disputes harder to challenge.
  • Legal accuracy – AI-enhanced letters of claim are more likely to cite correct legal standards and deadlines, reducing the scope for procedural defence.
  • Reputational impact – Tenants are encouraged to share reviews and complaints on social media.

When AI-generated letters get ignored

In several recent cases reported to housing charities, the tenants had used AI to generate formal complaint letters. These letters were sometimes dismissed by housing officers as “automated spam” or “not real legal letters”; that’s a mistake.

Courts and the Housing Ombudsman have made clear: it’s the content that matters, not who or how the letter was written. Ignoring an AI-generated disrepair complaint could amount to procedural unfairness.

In the Ombudsman’s 2023 report on complaints involving damp and mould, a key finding was that housing providers often failed to act on early signs of disrepair. It referenced a case where a tenant used digital records and self-assessment tools to document black mould. The housing provider failed to act and the Ombudsman found “maladministration” and awarded compensation.

The Housing Ombudsman stated, “We are seeing an increasing number of residents using technology to bring issues to light – landlords must adapt and respond proportionately. Ignoring a tenant’s report because of how it was made, whether by app or AI, is unacceptable.”

Practical steps

Given that housing providers already have processes and IT systems for complaints management, risk assessments, compliance, communications and reporting, what’s the problem?

These mechanisms often fail to deliver the necessary protection because they’re not implemented according to best practices and leave gaps in the controls they should be applying.

On the other hand, a quality-led approach ensures that IT systems and the associated processes meet their business, technical, regulatory and compliance requirements by:

  • Having a broad and deep understanding of the project objectives and ensuring these are met.
  • Applying data management best practices to ensure customer- and property-related records and certificates are stored properly and retrieved easily.
  • Ensuring there’s a golden source of reliable data with reliable system interfaces.
  • Automating workflows such as survey and compliance actions to ensure traceability.
  • Focusing on customer communications being monitored and acted on.
  • Assuring landlord communications are error free, timely and in line with statutory obligations.

The AI power shift

AI is changing the power balance between housing providers and their tenants, which previously often left tenants under-informed and under-represented.

For providers, this is a wake-up call; failing to meet regulatory and moral obligations is no longer an option.

If tenants know their rights, can document problems accurately and can escalate faster than ever, failing to meet the standards the law already demands is no longer a compliance risk, it’s a survival risk.

Scott Summers is the CEO of Quality Led Projects.

See More On:

  • Vendor: Quality Led Projects
  • Topic: Artificial Intelligence
  • Publication Date: 105 - May 2025
  • Type: Contributed Articles

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