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Chatbot development
in Frankfurt am Main

avatar Toimi
Instant replies, natural conversations, and 24/7 availability — we create chat bots that answer questions and move business forward.
Conversational design
Platform integrations
Actionable analytics

Chatbot Development in Frankfurt am Main: challenges we solve

Conversations that
iscale.

We build chat bots that handle thousands of customer interactions at once
— answering FAQs, guiding purchases, and routing complex cases to the right person. Available 24/7, with consistent answers.

Support queues
become too much.

Bots handle FAQs. Agents focus on complex issues.

Customers drop off
outside working hours.

24/7 availability.
Conversations continue after hours.

Bots feel robotic
and frustrate users.

Conversational design.
Natural language flows.

Integrations are nowhere
to be found.

CRM, e-commerce, and support tools connected.

Chatbot Development in Frankfurt am Main: who we work with

Small businesses
Need faster replies? We build bots that cover FAQs, bookings,
and simple requests.
  • Automated responses
  • Easy setup across channels
  • Cost-efficient support
Serve more, spend less
Growing companies
Scaling support? We create bots that handle routine chats
and hand off complex cases.
  • Smart routing
  • CRM & helpdesk integrations
  • Multi-language options
Scale efficiently
Enterprises
High-volume inquiries, global teams, 24/7 demand — we design enterprise-grade bots.
  • Advanced AI flows
  • Secure infrastructure
  • Analytics at scale
Engage at any volume

A chatbot for users in Germany, from the AI notice to the widget script

A chatbot aimed at people in Germany answers to two sets of rules that touch the product directly. The EU AI Act sets transparency duties for systems that talk to people. The German TDDDG, the act formerly known as the TTDSG, governs what any script may store on or read from the device of a visitor. Neither rule is about the quality of the answers. Both change how the bot looks, loads and opens a conversation.

Start with the disclosure. Under the AI Act, a system built to interact with people has to make clear that the person is dealing with an AI, unless that is already obvious from the context. A cartoon robot icon is weak evidence. A chat that opens with a friendly first name and a stock photo of a smiling agent works against the rule. The safer reading is simple: say it in words, at the start, every time.

That shapes the first message. A line such as Hello, this is an automated assistant, it can answer questions about orders and delivery, does two jobs at once. It discloses the nature of the system. It also sets the scope, which cuts down the questions the bot cannot handle. Keep the notice inside the conversation itself, not in a tooltip or a footer link. Screenshots of the chat should still show it.

The second rule works on the page before anyone types. Many chat widgets load on every page view and at once set cookies, fill local storage, or read a device identifier to recognise a returning visitor. Under the TDDDG, storing or reading such information on the device needs prior consent, unless it is strictly necessary for a service the user has explicitly asked for. A visitor who has never clicked the chat bubble has not asked for a chat.

The practical fix is to split the loading. Show a static button that sets nothing. Load the full widget, and create any session identifier, only after the user clicks it. At that point storage needed to keep the conversation running has a much better case for counting as strictly necessary. Analytics, tracking pixels bundled with the vendor script and marketing tags do not. They stay behind the consent banner like any other tag.

Check the vendor script line by line. Hosted chat products often ship with their own analytics, visitor fingerprinting or proactive pop-ups that fire on a timer. Each of those runs before a click. Turn them off, or wire them to the consent tool, and then test with a clean browser profile to see what actually lands in storage.

Handover to a human is where the disclosure must change again. When a person takes over, the chat should say so in a separate line, with the switch visible in the transcript. The reverse matters too. If the human leaves and the bot resumes, the user should not be left guessing who writes the next reply.

Finally, keep the evidence. Save the wording of the opening notice, the list of scripts loaded before and after the click, and the date each version went live. When a data protection officer or a partner asks how the bot meets these rules, the answer is then a folder, not a meeting.

Why does our chat bot answer some questions
but fail when conversations get complex?
Because it was built as a script, not a system.
The bot replies to basic FAQs — but can’t recognize intent. Conversations break when customers switch channels. Hand-offs to human agents are clunky or missing.
If the bot isn’t designed for real dialogue, customer trust gets lost fast.

What goes into chat-bot development?

Conversational by design
We craft bots that feel human — using natural language flows that guide customers, not frustrate them.
Intent recognition
Dialogue trees
Works where your users are
From websites to messengers to apps, our bots connect across platforms for consistent experiences.
Omnichannel presence
Seamless integrations
No dead ends
Bots need to get past “I don’t understand”. We design escalation paths that hand off to humans smoothly.
Smart routing
Live agent transfer

Still relying on humans for every chat?

Let’s chat

More possibilities for your project

We work with a wide range of tasks and formats. Explore additional solutions that may be a good fit for your project.
Formats
Industries
  • Online Stores
  • Real Estate
  • Healthcare and Dentistry
  • Restaurants and Cafes
  • Beauty Salons
  • Education
  • Construction
  • Legal Services
  • Tourism and Hotels
  • Logistics
  • Interior Design
  • Apartment Renovation
  • Auto Services
  • Marketplaces
  • Consulting
  • Photographers

Let's chat

FAQ

Didn’t find what you were looking for? Drop us a line at info@toimi.pro.

Can you make the bot sound natural?

Yes. We design conversational flows and use NLP so bots understand intent and reply in a human-like way.

Will the bot work across different channels?

Absolutely. We connect bots to websites, apps, and messengers so customers get consistent experiences everywhere.

How do you avoid dead ends?

We always build escalation paths — bots can hand over to live agents smoothly when needed.

Can the bot learn and improve over time?

Yes. With analytics and training, bots get smarter with every interaction.

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