For cities & citizen offices
Your city.
Clearly explained.
The citizen chatbot for your website explains municipal services and helps with the next step. For better orientation in everyday life – and more time in your administration for the matters people need help with.
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Your content
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People decide
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Privacy & security built in
Start on your website. Think further in your administration.


Citizen chatbot
Example
What does my city offer for families?

In this example city you will find family services in the “Family & leisure” section.
Example source: family services
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From approved city information
A sensible start.
Four ways to lighten the load.
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Explain services
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Prepare enquiries
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Find knowledge
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Connect services
Good for citizens. Good for your administration.
Less searching. More working together.
Find opening hours. Know the right department. Prepare a reply. ACCELERAID supports your local authority where everyday questions arise.

Knowledge in your administration
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Who looks after our website content?
Internal editorial guide
Responsibility · Contact · Approval
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Example: find knowledge instead of asking around.
What support can look like
Choose an example
Citizen chatbot
Enquiries
Knowledge
Connected

Your citizen chatbot
Orientation on your website.
Website
City services
Opening hours
Contacts
Citizen
Where can I find opening hours and the appointment page?
Citizen chatbot
In this example city, opening hours and contact points are listed in the “Citizen office” section. That is also where you would find the link to the city's appointment page.
↳ Example source: approved “Citizen office” page
Explain the next step
Just a preview, no appointment booking
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Your approved content
Website
Fictitious city information for illustration. Not a live chatbot.
Easier orientation.
Citizens find services, contacts and the right next step.
More targeted support.
Fewer repeat queries free up time for personal advice.
Expand step by step.
Website first. Then, as needed, enquiries, internal knowledge and connected processes.
Four building blocks. Your own path.
Answer questions today. Take on more tomorrow.
Start with the citizen chatbot. Or wherever your team needs support right now. You don’t need to introduce all four modules at once.
Your website

Your question?
Who is responsible?
Find the contact.
From question to the right information
01
Getting started on your website
Citizen chatbot
FAQ Bot / Starter
Your services. Easier to find.
A chatbot for your city website: it answers frequent questions from approved content and makes services, opening hours and responsibilities easier to find.
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Fast go-live on your website
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RAG: answers based on your content, with hallucination controls
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Customisable by your own team
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Packages for your monthly request volume
Discuss the citizen chatbot
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New request

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Draft
For review
The AI prepares. Your team reviews.
02
Enquiries & tickets
Service copilot
Customer Service Copilot
Well prepared. Reviewed by people.
The service copilot classifies emails, contact requests as well as IT and service tickets. It prepares draft replies that your staff review and approve.
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Classify emails, contact requests and tickets
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Create draft replies from approved knowledge
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Human review and forwarding when clarification is needed
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Close suitable cases automatically only under agreed rules
Classify
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Draft
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Review
The subject-matter decision stays with your team.
Discuss the service copilot
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Where is our editorial guide?
Found in internal knowledge
Guide · Responsibility · Approval
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Use administrative knowledge in everyday work
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Knowledge for your staff
Internal knowledge assistant
Internal Workforce Assistant
Find knowledge. Use it every day.
A central assistant makes internal knowledge available where your staff work: in Teams, on the intranet and in your existing knowledge sources.
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Central knowledge assistant for your administration
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Native Microsoft Teams and Slack integration
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Native intranet integration
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Native connection of Confluence and SharePoint
Microsoft Teams
Slack
Intranet
Confluence
SharePoint
Discuss the knowledge assistant
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Website
App
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One enquiry.
One context.
Connect citizen services across channels
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Connected citizen services
Connected citizen service agent
One enquiry. Well supported everywhere.
A connected agent brings together information, conversations and approved actions. A central AI – the AI Brain – keeps the context together.
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Web app and native SDKs for iOS and Android
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WhatsApp Business API; telephony on request
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Integration with your specialist and citizen-service systems after review
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Suitable town hall systems after technical and functional review
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Approved actions via MCP – with defined confirmations
One central AI · AI Brain
Designed to be data-agnostic. We agree sources, permissions and the scope of actions for your local authority.
Discuss connectivity
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In all four modules
OpenAI and Google Gemini, other models on request · Hosting in Frankfurt (ISO 27001) · Filters for personal data · Defined approvals


Your service assistant
Example
Can I continue my enquiry?
I'll prepare the current status. You review and confirm before it is passed on.
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Preview only. Nothing is sent.
An enquiry doesn't have to start over.
Extend your website help into a connected citizen service. With purpose-bound data and the right permissions, your assistant can accompany conversations across several channels.
Context.
CRM, CDP and core systems can provide contract, account and interaction data, for example. We review together which municipal data and town hall systems are a good fit.
Actions.
Using the Model Context Protocol (MCP), the agent can prepare and carry out approved routine actions, within defined rules and under human control.
Channels.
Web app, native iOS and Android SDKs and the WhatsApp Business API. Telephony on request.
How it fits together
Connect knowledge. Prepare next steps.
The central AI connects only the sources and tools you approve. Subject-matter and sovereign decisions remain with people.
APPROVED SOURCES
City content
CRM · CDP
Core & town hall data*
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Central AI
AI Brain · Knowledge · Context · Control
Data filter
Model choice
Approvals
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YOUR SERVICE CHANNELS
Web app
iOS / Android
Telephony*
*Town hall systems subject to review; telephony on request. Connections, data scope, approved actions and required confirmations are agreed in advance. No automated legally binding notices or approvals.
Behind the scenes, too
From the inbox to your everyday work.
Assistants find knowledge. Bots prepare tasks. Agents connect approved steps with your processes. For example:
01 · Enquiry received
An email or contact request is assigned to the right topic.
02 · Draft a reply
The assistant creates a draft from approved knowledge.
03 · Review in Teams
Staff complete the draft and approve the next step.
04 · Continue the process
An agent hands the reviewed information over to the connected system.
Example target process, not a live service. Teams approvals, system connections and actions are reviewed and set up for your administration.
Your topics. Your local authority.
Many questions. A sensible start.
From the citizen office to internal services: explore examples of how the four modules can support different areas of your administration.
Start small. Grow together.
The first step can be simple.
You know the questions your city gets. We'll find the right starting point with you.
01
Choose a clear benefit
Frequent questions on the website, recurring contact requests or internal knowledge: together we choose a manageable starting point and suitable quality criteria.
02
Approve content and rules
You decide on sources and responsibilities. Together we clarify data protection, integrations, human review and how to handle questions that cannot be answered.
03
Test and expand sensibly
Your team reviews answers and processes before go-live. You then assess quality and relief – and add further topics, channels or approved actions as needed.
Is this a website for citizens?
Can we start with just the citizen chatbot?
Which request packages are available to get started?
Does the service copilot answer emails on its own?
Can internal knowledge be used in Teams?
Which channels and systems can the agent connect?
Which actions may an agent carry out?
Can we choose the model and the operating region?
How do you deal with wrong answers and sensitive data?
Read on
