Local authoritiesCustomer service

KESHER: the same AI brain on every channel, and a human when needed

KESHER is Zooz-tech's AI platform for resident and customer service, built on Azure AI Foundry and Azure AI Search. The bot answers only from approved sources, verifies the resident's identity before any personal action, and hands off to an agent with the full context. Every conversation is logged in the local authority's CRM.

KESHER bot: a city events card with image, time, place and cost
The bot, as the resident sees it

Generative UI: the bot builds the interface during the conversation

Buttons, cards and forms built inside the conversation, an honest answer when there is no source, and a handoff to an agent in one click.

KESHER bot: city events, a card with image, date, place, type and cost, and a registration link
City events. The resident asks, and the bot returns event cards with an image, date, place and cost, and a registration link.
KESHER bot: opening a quick service request by choosing a topic with buttons
A request in a few clicks. "A tree fell on the street" becomes a service request form: pick a topic by icon, add an address and description, and optionally attach a photo.
KESHER bot: filtering events by audience, type and location inside the conversation
Generative UI. The bot builds a filter card based on the question, with a count for each option.
KESHER bot: no authoritative source, and three ways to continue
It doesn't guess. No authoritative source? The bot says so and offers an agent, a callback or the municipal 106 hotline.
KESHER bot: filling in a service request form inside the conversation, with identifying details blurred
A form inside the conversation. Field by field, with validation, and submitted for the resident's approval.
Channels

Residents don't need to know where to turn

KESHER is set up on top of the existing website: our engine crawls and indexes the local authority's website, documents and content management system, and the bot takes on the authority's design and a voice, quickly and inside a secure Azure infrastructure.

Municipal website

Chat with cards, forms and buttons built to fit the answer.

WhatsApp

The same capabilities, in short lines and buttons.

Voice on the website

Talk to the bot in Hebrew, English or Russian, including filling in forms by voice, while the screen shows the results in parallel.

Phone bot

Voice answering for inbound calls to the contact center, and outbound calls: reminders, request closure updates, callbacks and surveys.

For residents

The personal area, inside the conversation

In the conversation, residents get exactly what they would get in the personal area of the website, under the same rules and with the same wording, no less and no more.

Source-based answers

Only from indexed content: the municipal website, documents and the content management system. No authoritative source? The bot says it will not guess and offers an agent or a callback.

Identity verification before action

A one-time code checked against the CRM for any personal information. General information is open to everyone.

Personal information

Property tax (arnona), education payments, parking tickets, veterinary services, appointments and request status.

Opening a service request

"There's a broken streetlight near my house" becomes a classified request with an address, for the resident's approval, and is routed to the municipal 106 hotline.

A form inside the conversation

Field by field, with validation of ID number, phone, email and date, in text and by voice.

An agent at any moment

At any stage, residents can ask for an agent and choose a contact center. The conversation is handed over with the full context.

Contact center console

The agent joins the conversation with the full context

KESHER contact center console: an open conversation with a resident panel Hazard map: service requests mapped by street

Live board

Conversations by channel, topic and agent, and SLA metrics in real time.

Agent Copilot

A suggested reply for every request, and a measure of how many suggestions were sent without editing.

Anomaly investigation

A spike in requests on a topic? In one click, the AI explains what happened, likely causes and recommendations.

Hazard map

Requests by street, with the leading topics, without house numbers.

Improvement loop

Questions the bot could not answer become tasks for the content team.

Outbound campaigns

Upload a recipient file, and the bot contacts them.

Responsible AI, security and privacy

Answers from sources, protects privacy, and always leaves a path to a human

Grounding gates

An answer without a source citation, or with weak grounding, is blocked before it is sent.

Transparency

The bot identifies itself as an automated system and states that the conversation is recorded.

Privacy

Personal information only after identity verification, and identifying details are not sent for translation. The design includes compliance with Amendment 13 to Israel's Privacy Protection Law.

Accessibility

Full keyboard navigation, screen reader support and real buttons for quick replies.

Data residency

Static data in Azure Israel Central, AI processing in Sweden Central.

In the field

Active pilot at Rishon LeZion Municipality

A bot on the website, on WhatsApp and in the contact center console, connected to the municipality's Dynamics 365.

Azure AI FoundryAzure AI SearchDynamics 365UmbracoWhatsAppEntra ID

A local authority that wants this kind of service for residents?

We will show you KESHER running on your authority's own content.

Book a demo