How Jeffway built an AI-native operation for social housing repairs

Jeffway Contracts handles responsive repairs for social housing and local authorities across the UK. New jobs arrived by email, and no two looked quite the same: different councils, different layouts, with the details that mattered often buried inside long threads or attachments.

Before anyone could book or carry out the work, a member of the office team had to read each email and type the details into Jeffway's job system by hand. It was steady, unglamorous work that quietly took up most of the afternoon, and it only grew as the company took on more contracts.

Now, incoming repair emails are read automatically and turned into a proper job in the system, with the address, the fault, the client and the reference already filled in. If something looks unusual or a detail is missing, it's set aside for a person to check rather than pushed through. Everything straightforward is simply handled.

The updates from the field come back the same easy way. Photos from the engineer arrive over WhatsApp and attach to the right job, and the invoice in Sage is raised from a record that's already complete, so there's nothing to piece together after the fact.

The team used to spend the day shuffling the same information between an inbox, a spreadsheet and the job system. That copying is gone. Their time now goes to the jobs that genuinely need a person to weigh in, while the routine ones move through on their own.

The desk gets through more than 250 repair jobs a month, and a new email becomes a live job in under five minutes instead of waiting in a queue to be typed up. The team didn't get any bigger. There's just far less busywork in the way.