Your AI assistant that responds 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+
Initial Situation
Support team of 3 received 120+ requests daily — 70% identical standard questions about pricing, features, and onboarding.
Solution & Result
RAG-based AI chatbot built on existing documentation, product pages, and support tickets — integrated into website and Slack.
78% of requests answered fully automatically, support team focuses on complex cases, customer satisfaction up 22%.
Your support team spends 80% of time on the same 20 questions
- Identical questions about prices, opening hours, product features, or order status — answered manually multiple times a day
- No availability evenings and weekends — customers wait, requests pile up on Monday
- Knowledge sits 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 requests 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 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 requests fully automatically.
Avg. 80% automation rate
Corporate 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 enterprise applications.
CRM, Slack, Teams native
Multilingual
Automatic detection and response in over 50 languages — without additional configuration.
50+ languages without configuration
Analytics & Monitoring
Detailed analysis 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
Our Approach
How we work
Use Case Analysis
Identification of the best application areas and measurement of expected ROI.
Concept & Knowledge Base
Selection of the AI model, preparation of the knowledge base, and design decisions.
Development & Training
Implementation, fine-tuning, and extensive testing with real requests.
Launch & Optimization
Accompanied go-live, monitoring, and continuous improvement of hit rate.
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 instant answers.
Use Cases at a Glance
E-Commerce & Customer Service
Order status, returns, product questions — fully automated, 24/7
HR & Onboarding
New employees immediately find answers about processes, tools and policies
Legal FAQs
Initial consultation on standard questions — lawyers focus on complex cases
Financial Services
Account questions, product info, loan terms — GDPR-compliant on US/EU servers
Technical Support
L1 support fully automated: 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 remain on US or EU servers. For maximum data sovereignty we offer full on-premise deployment — no data 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 decide together in the use case workshop.
02How does the AI prevent wrong answers (hallucinations)?+
Through RAG (Retrieval-Augmented Generation): the AI responds exclusively based on your verified documents and states when it has no information — rather than 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 complete 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 optional support contract. Binding offer after free use case workshop.
06How long does implementation take?+
Simple chatbots go live in 2–3 weeks. More complex RAG systems with system integration and training phase in 4–8 weeks. In the use case workshop we define a binding timeline.
Free Assessment Workshop — no commitment
In 60 minutes we analyze your current situation and show you concretely which solution makes sense for your business — with a binding offer within 5 business days.