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Housing18,000 homes

Social housing group

Twelve words for one wall, and four months of warning.

A social landlord managing eighteen thousand homes, where one structural defect arrived under a dozen different descriptions and reset the ticket counter every single time.

18k

Homes covered

4 months

Of warning already in the corpus

12

Vocabularies for one defect

3+

Contacts becomes an escalation

Deployment model

Branded portal on the shared multi-tenant backend

Live since

2026

Languages

English · Español · Français · العربية · Português · Polski · Türkçe · বাংলা · Русский

The challenge

Damp, mould, condensation, black spots, wet wall, smell, patches. Twelve vocabularies for one structural defect, and a keyword-driven repairs system that connected almost none of them.

Every fresh contact opened a fresh ticket. A household reporting the same problem for the fourth time looked identical, in the data, to four separate households reporting once.

What we did

Meaning clustering went in first, so every phrasing of a defect collapses into one tracked issue with all the original wording attached.

Repeat-contact journeys were switched on, so three or more messages from one anonymous device surface as an escalating case rather than three isolated tickets.

Safety categories were floored to critical on arrival and routed past the local estate office entirely.

What happened

The first meaning cluster the console produced held four months of reports about one block, in language no search had ever connected. Remediation was scheduled the week it surfaced.

Repeat-contact escalation moved the group from counting tickets to counting households, which changed how the whole repairs backlog was prioritised.

“The pattern had been in the corpus for four months. We had no system that could see across twelve different words for the same wall.”

Director of housing operations, Social housing group

Illustrative composite, attributed to a role. Full disclosure on the stories index.

Next step

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