Disrepair claims

Stop settling claims you could have disproved.

You've read why disrepair claims come down to evidence. Here is what that evidence actually looks like, and how it works across your stock.

The real question in any claim

It was never about whether there's an issue.

A disrepair claim turns on cause, and cause is where it gets expensive. Tap each possible cause below. Without objective data, you can't rule any of them out.

Tap all four to see what the data tends to show.

9 in 10

damp and mould cases turn out to have little to do with the building itself. Yet without data, every one of them gets fought, and too many get paid out, on opinion rather than fact.

Who tells you first

The difference is when you find out.

If the tenant is your alerting system, you're already on the back foot. Switch the source and watch the outcome change.

On the back foot

You hear about it once it's already a problem

By the time a complaint or a claim comes in, the chance to intervene early has gone, the costs have climbed, and the record you'd need to defend yourself was never captured.

Tenant complainsSurveyor sentCause disputedWorks orderedClaim settled
How it works

A quiet record of what's really happening.

No disruption, no guesswork. Sensors capture the conditions that drive damp and mould, continuously, so you're working from fact.

1

Install in minutes

Non-invasive sensors go in inside ten to fifteen minutes, with next to no disruption to the tenant.

2

Monitor continuously

Temperature, humidity and CO2, recorded before, during and after any remedial work.

3

Act on what counts

High-risk homes surface early so your team spends time where it genuinely matters.

Four homes, one glance.

Portfolio view

Tap a property to see what the data says, and what you'd do about it.

One home to fix, three you can stand behind. That's the difference between reacting to claims and managing them.

Evidence that works both ways

Whichever way the data falls, you're covered.

The same continuous record protects you in both directions, so you act on fact rather than hope the timeline holds.

The home needs attention

Act before a claim is raised

The data shows the property isn't being heated or ventilated as it should be. You step in early, fix the right thing, and prove the work made a difference.

The claim has no merit

Stand behind the evidence

Conditions sit well within range and there's no fabric issue to answer for. You have a clear, objective record to defend the case rather than settle it.

9 in 10

damp and mould cases aren't about the building's fabric

9.4%

average under-reporting when you rely on tenants to tell you

10 to 15

minutes to install a sensor, with minimal disruption

24/7

continuous evidence, before, during and after works

The questions you're already asking

Straight answers, before you ask.

The prescribed timescales reward early action and defensible evidence. Continuous data gives you a leading indicator of risk, so you can investigate and remediate inside the timeframes and show the regulator a plan rather than faster apologies.

Very little. The sensors are non-invasive and go in inside ten to fifteen minutes. There's nothing for the tenant to manage, and if they want to, they can see the same data through a tenant app.

A meaningful pilot, rather than a handful of homes, is where the picture becomes clear. Across a set of properties you start to separate genuine fabric issues from heating, ventilation and usage patterns within the first few weeks of data.

The sensors measure environmental conditions such as temperature, humidity and CO2. They don't record audio or images. The data exists to protect both the tenant and the provider, and it can be shared openly with the tenant.

It's built to reduce noise, not add to it. Rather than another raw dashboard, high-risk homes are surfaced as clear, prioritised alerts so the team works the cases that count instead of triaging everything by hand.

Own the problem, own the solution.

See what a week of real data looks like across your own stock, and what it would mean for the claims sitting on your desk right now.