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AI Chatbot Development

A chatbot that actually helps — not an FAQ robot

AI chatbots that understand your customers, leverage your knowledge, and help autonomously. Starting at $3,000.

No rigid decision trees. No "I'm sorry, I didn't understand that". Real conversations based on your company data.

80%
inquiries resolved automatically
2-3
weeks to launch
<$0.02
per conversation

AI Chatbot vs. Rule-Based

Most chatbots on the market are glorified FAQ pages. An AI chatbot is fundamentally different.

Criteria
AI Chatbot
Rule-Based
Language understanding
Natural & contextual
Exact keywords only
Answer quality
Individual, relevant answers
Pre-written templates
New questions
Handles unknown queries
Only pre-programmed questions
Maintenance
Update knowledge base
Maintain every rule manually
Scalability
Infinitely expandable
Gets complex quickly
User experience
Natural conversation
Rigid decision tree

4 Use Cases for AI Chatbots

Whether external for customers or internal for your team — an AI chatbot is versatile.

Customer Service

Resolves 80% of customer inquiries automatically — around the clock, in seconds instead of hours. Escalates to your team when needed.

24/7 availableMultilingualInstant responsesAuto-escalation

Internal Knowledge

Makes your entire company knowledge instantly accessible. Employees find answers in seconds instead of hours.

Document searchProcess guidesOnboarding helpIT support

Lead Qualification

Automatically qualifies website visitors and routes warm leads directly to your sales team.

Auto-qualificationAppointment bookingCRM integrationFollow-up triggers

Onboarding

Guides new employees or customers through the onboarding process. Answers questions, explains workflows, tracks progress.

Personalized plansFAQ answersProgress trackingSelf-service

The Technology Behind It

Modern AI chatbots are built on a combination of LLMs, RAG, and vector databases.

RAG

Retrieval Augmented Generation — your chatbot accesses your documents and data without sharing them with third parties.

LLMs

Large Language Models (GPT-4, Claude, Llama) — for natural language understanding and intelligent responses.

Vector DB

Vector databases (Pinecone, Qdrant) — for lightning-fast semantic search across large datasets.

Embeddings

Text is converted into mathematical vectors so the bot understands meaning — not just keywords.

From Knowledge Base to Live Chatbot

From initial idea to productive chatbot in 2-3 weeks — in 4 clear steps.

01
Day 1-2

Define Knowledge Base

Which documents, FAQs, product data should the bot know? We define scope and sources.

02
Day 3-7

Bot Design & Training

Personality, tone, escalation rules. The bot is trained with your data and tested.

03
Week 2

Integration & Testing

Integration into your website, app or internal systems. Intensive testing with real scenarios.

04
Week 3

Go-Live & Monitoring

Launch with real-time monitoring. Continuous optimization based on real conversations.

Transparent Pricing

No hidden costs. Fixed price for development, transparent ongoing costs.

Starter

from $3,000

one-time

  • FAQ chatbot with knowledge base
  • Website integration
  • Up to 50 documents
  • 2 weeks development
Popular

Professional

from $8,000

one-time

  • RAG with vector database
  • CRM integration
  • Multi-channel (web + WhatsApp)
  • Unlimited knowledge base
  • 3 weeks development

Enterprise

from $15,000

one-time

  • Multi-agent system
  • Custom LLM fine-tuning
  • On-premise possible
  • All integrations
  • 4-6 weeks development

Ongoing costs: API costs from approx. $20/month + optional maintenance from $200/month

GDPR-compliant. Always.

All chatbots are developed GDPR-compliant: EU hosting, encrypted communication, no training on your data by third parties. On-premise deployment available for maximum data security.

EU Hosting
Encryption
No Data Training

Frequently Asked Questions

about AI Chatbots for Business

A simple AI chatbot starts at $3,000. More complex solutions with RAG, CRM integration and multi-channel support range from $8,000-15,000. Plus ongoing API costs of approximately $20-100/month. I'll estimate your project for free in the initial consultation.

An AI chatbot understands natural language and the context of an inquiry. It can answer questions that aren't literally in the knowledge base — unlike rule-based bots with rigid if-then flows. The result: more natural conversations and significantly higher resolution rates.

An MVP chatbot is live in 2-3 weeks. The knowledge base can be expanded at any time without rebuilding the bot. More complex solutions with multi-system integration take 4-6 weeks.

Yes. Through RAG (Retrieval Augmented Generation), the chatbot accesses your documents, FAQs, product data or knowledge bases — without transferring data to the AI provider. PDFs, Word documents, websites, databases — everything is possible.

Yes. All chatbots are developed GDPR-compliant: EU hosting, encrypted data transmission, no training on your data by third parties. For particularly sensitive data (healthcare, finance), on-premise deployment is also possible.

Discuss your chatbot

Free initial consultation — 30 minutes, no pitch. Together we figure out which chatbot will have the biggest impact for your business.

Prefer a video call?

Book a free 30-minute initial consultation