Your AI assistant that answers around the clock — without additional headcount
GPT & Claude for Your Customer Service and Internal Processes
Intelligent AI chatbots and virtual assistants for customer support, internal knowledge bases and process automation — based on GPT-4, Claude and open models.
Anonymized reference caseB2B software company · Frankfurt, 45 employees+
Starting point
A 3-person support team received 120+ inquiries a day — 70% of them identical standard questions about pricing, features and onboarding.
Solution & result
RAG-based AI chatbot built on the existing documentation, product pages and support tickets — integrated into the website and Slack.
78% of inquiries answered fully automatically, support team focuses on complex cases, customer satisfaction up 22%.
Your support team spends 80% of its time on the same 20 questions
- Identical questions about prices, opening hours, product features or order status — several times a day, answered manually
- No availability in the evenings and on weekends — customers wait, inquiries pile up on Monday
- Knowledge lives in people's heads and PDFs, inaccessible to new employees or automated systems
An AI assistant that knows your company knowledge and answers 80% of inquiries instantly
- RAG technology anchors the AI in your own documents, FAQs and manuals — no hallucinations, real answers
- Seamless handover to your team for complex cases, with the complete conversation history
- GDPR-compliant architecture — optionally on-premise on your servers, no data in US clouds
Scope of services
What AI Chatbots & Assistants does for you
Customer Support Bot
AI-powered first-level support that answers up to 80% of standard inquiries fully automatically.
Avg. 80% automation rate
Company Knowledge Base
RAG-based assistant trained on your own documents, FAQs and manuals.
Answers from your own documents
System Integration
Connection to CRM, ERP, ticketing systems and other business applications.
CRM, Slack, Teams natively
Multilingual
Automatic detection and responses in more than 50 languages — without additional configuration.
50+ languages without configuration
Analytics & Monitoring
Detailed analyses of usage patterns, unanswered questions and optimization potential.
Weekly optimization reports
GDPR-Compliant
Privacy-compliant architecture with optional on-premise deployment for maximum data sovereignty.
On-premise or Azure Frankfurt
Approach
How we work
Use Case Analysis
Identification of the best areas of application and measurement of the expected ROI.
Concept & Data Foundation
Selection of the AI model, preparation of the knowledge base and design decisions.
Development & Training
Implementation, fine-tuning and extensive testing with real inquiries.
Launch & Optimization
Supported go-live, monitoring and continuous improvement of the answer accuracy.
Our AI chatbot now answers 78% of customer inquiries fully automatically. Our support team finally has time for the truly demanding cases — and customers get answers instantly.
Use Cases at a Glance
E-Commerce & Customer Service
Order status, returns, product questions — fully automated, 24/7
HR & Onboarding
New employees get instant answers about processes, tools and policies
Legal FAQs
Initial guidance on standard questions — lawyers can focus on complex cases
Financial Services
Account questions, product information, loan terms — GDPR-compliant on German servers
Technical Support
Fully automated L1 support: how-to guides, troubleshooting, ticket creation
Internal Knowledge Base
Employees instantly find answers from manuals, processes and policies
GDPR Compliance & Data Sovereignty
All conversations and company data stay on German servers. For maximum data sovereignty, we offer full on-premise deployment — no data ever leaves your data center.
Frequently asked questions
Everything you need to know about AI Chatbots & Assistants at a glance.
01Which AI models do you use?+
We choose the model based on your use case: GPT-4o for broad general knowledge and multilingual support, Claude for nuanced, compliance-sensitive texts, or open models (Mistral, LLaMA) for on-premise deployment. We make the decision together in the use case workshop.
02How does the AI avoid wrong answers (hallucinations)?+
Through RAG (retrieval-augmented generation): the AI answers exclusively on the basis of your verified documents and, when uncertain, states that it has no information — instead of guessing. During the testing phase, we calibrate the confidence threshold together.
03Where is the data stored?+
Standard deployment on German servers (Azure Frankfurt or Hetzner). For maximum data sovereignty, we offer full on-premise deployment in your own infrastructure — then no data leaves your network.
04Can the AI be integrated into our existing systems?+
Yes. CRM (Salesforce, HubSpot), ticketing systems (Zendesk, Freshdesk, Jira), Teams and Slack are standard. Beyond that, the AI can be connected to any system via API. Integration is included in the project price.
05What does an AI chatbot cost?+
Simple FAQ chatbot from €4,500 one-time. More complex RAG systems with ERP integration typically €12,000–€35,000. Ongoing costs: API fees (usually €50–€300/month depending on usage) plus an optional support contract. Binding quote after a free use case workshop.
06How long does implementation take?+
Simple chatbots are live in 2–3 weeks. More complex RAG systems with system integration and a training phase in 4–8 weeks. In the use case workshop, we define a binding timeline.
Free assessment workshop — no obligation
In 60 minutes, we analyze your current situation and show you exactly which solution makes sense for your business — with a binding quote within 5 business days.