Requests arrive through every door
Service desks, online forms, calls and messages each keep their own list. Nobody sees the whole picture of one problem.
Cloud4Feed hears citizens at every service desk, online form, call and field visit, shows which neighbourhood needs attention first and routes every issue to the unit that can fix it — then shows what changed.
A request at the desk, a form online, a call and a post about the same street — each lands in a different place, and the full story is rarely seen.
Service desks, online forms, calls and messages each keep their own list. Nobody sees the whole picture of one problem.
A city-wide score can look fine while one neighbourhood reports the same problem again and again.
Residents who prefer the phone, or speak another language, are the hardest to hear — and the easiest to leave out.
From the first online visit to the street outside the door, each step has its own channel. Cloud4Feed listens at all of them — and reads them as one story.
Voice AI calls run voice-only or after your digital invites — you choose per survey.
From the first response, every request, survey answer, call and post is coded into public-service topics, intents, sentiment and emotion — in 50+ languages. New topics are spotted automatically; your team approves them.
How the AI engine reads every channelThe same Listen → Analyse → Insight → Act loop as the rest of the platform — set up for service desks, online services, requests and field work.
After a desk visit, an online form or a closed request, citizens get a short survey by QR, SMS or WhatsApp in 50+ languages. Citizens who prefer the phone get an AI voice call — voice-only or after a digital invite.
Requests, survey answers, calls and public posts are coded into the same topics and intents. A call, a form and a post about the same street count as one issue — and a repeat is recognised as a repeat.
Compare neighbourhoods on scorecards and maps, and ask AI what to fix first. Get an alert the moment the same problem starts repeating in one area.
A repeating problem becomes a case for the right unit, with an SLA and a reminder before it's due. Citizens hear back, and leadership gets automatic reports.
The request was closed — but two days later Rowan Street was dark again. Maria's survey answer reached Citizen Services, who called her back. Read together with every call, form and post from Cedar Hill, the same AI engine showed the bigger fix: the whole street's lighting.
The light on Rowan Street was fixed on Monday and went out again two days later.
Period-on-period reports show each neighbourhood's scores next to the cases closed there. They arrive automatically — ready for leadership meetings and for the updates you share with residents.
How every service moment lands, by neighbourhood.
How fast requests are closed, by unit.
How often the same problem comes back.
One comparable score for every area.
How easy your online services are to use.
100+ companies across 15+ industries run their voice of customer programme on Cloud4Feed.
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