A SILENT LEAK. SEVENTEEN DAYS. CAUGHT BEFORE THE DAMAGE.

Posted on: March 27, 2026

Water
Anomaly detection
Cost

A Silent Leak.
Seventeen Days.
Caught Before the Damage.

No burst pipe, no visible damage. Just a real-time flow anomaly at midnight that no monthly meter read would ever have found.

Silent water leak detected early through live monitoring

Scenario

A mixed-use commercial property in the North West. Four floors, partially tenanted, with a communal plant room and shared facilities. The building had been running a standard water meter for several years: read monthly, logged manually, and flagged only if the bill looked unusual.

Monitor Hut connected water monitoring across the site as part of a wider portfolio deployment. Within the first three weeks of live data, the platform flagged a sustained overnight flow on two consecutive nights. Water was moving through the main supply at a consistent rate between midnight and 5am with no occupancy scheduled and no automated systems that should have been drawing supply at that level.

What the data showed

The anomaly was not dramatic. It was not a burst pipe or an emergency. It was a slow, continuous draw of approximately 340 litres per night. The kind of flow that a monthly meter read would absorb into the background noise of general consumption without question.

A site visit identified a failed valve in a ground-floor WC cistern. The cistern had been running continuously into the drain, invisible to anyone not looking at real-time flow data.

Resolution

The valve was replaced. Overnight consumption normalised within the same monitoring cycle, confirmed by the platform within 24 hours of the repair.

The result
Metric Detail
Overnight flow detected ~340 litres per night
Duration before detection 17 days
Total water lost before fix ~5,780 litres
Estimated annualised cost if undetected £1,100+
Repair cost Routine maintenance call
Time to normalise post repair Within 24 hours

Commercial buildings can lose up to 30% of their water through undetected leaks. Most of it is slow, silent, and invisible without continuous monitoring. The buildings that catch it fastest are the ones where the data is always running.