FAQ Bot
Reliably answers the 20–50 most common questions. Fed from your existing FAQs, documents, and process knowledge. Ideal as an entry point.
Fastest Start
ConsultingServices.aiAI Consulting for SMEsSolution in Detail
Chatbots & Support Automation: Reliably handle recurring questions.
An AI-powered chatbot automatically answers standard questions, prioritizes emails, and creates structured tickets — around the clock. Your team only handles cases that truly require human attention.
Time-to-Value
3–5 weeks
Investment
from €3,500
Basic: from €5,500 for the Pro package
Ongoing Costs
approx. €30–80 / month
API & hosting
Deliverables
Live bot + RAG setup
Pro adds dashboard, connectors, documentation, and training
Target Group
Who is this for?
Well-suited if …
- Your support team answers 60%+ of the same questions repeatedly
- Emails are manually screened, sorted, and answered
- Customers wait for responses outside of business hours
- Your FAQ page exists, but no one uses it
- You run a service, IT, craft, or e-commerce business
Less suitable if …
- Every inquiry is individual and complex (e.g., legal advice)
- You receive fewer than 20 support inquiries per week
- There are no documented answers to standard questions
Three Variants
Not every chatbot is the same
Depending on the initial situation, I implement one of three variants — or combine them.
Support Assistant
Goes beyond FAQs: captures concerns, creates structured tickets, classifies by urgency, and forwards to the right person.
For teams of 5+ employeesEmail Prioritization
Analyzes incoming emails, identifies concerns and urgency, suggests response templates, and automatically sorts into categories.
Maximum time savingsBusiness Impact
Measurable Results for Customer Service
The bot resolves most standard questions directly in the first contact case.
Waiting times are completely eliminated. Customers receive immediate precise feedback.
Operational costs decrease significantly through automation.
Faster and consistent responses measurably increase satisfaction.
Architecture & Approach
The End-to-End Process: From Inquiry to Solution
A transparent process ensures that the bot hands over to a human in complex cases.
Understand Inquiry (NLU)
The customer asks a question via web, WhatsApp, or email. The AI recognizes the intent, extracts entities, and analyzes the context.
Retrieve Knowledge (RAG)
Relevant information is searched in real-time from your knowledge bases (Vector DB), FAQs, and connected systems.
Generate & Validate Response
The LLM (e.g., GPT-4o) formulates the response based on your documents. Integrated guardrails check for accuracy and compliance.
Action & Seamless Handover
The response is sent or an action is triggered in the backend. If the system detects a critical inquiry, a seamless handover (including chat history) to a human employee occurs.
Under the Hood
Technical Setup
No black box service — you understand what’s behind it.
Retrieval-Augmented Generation (RAG)
The bot does not generate answers freely but first searches for relevant passages from your knowledge base. This minimizes hallucinations and ensures that answers are based on real company data.
Embedding & Vector Search
Documents are converted into semantic vectors and indexed in a vector database (e.g., Pinecone, Qdrant, pgvector). This allows the bot to understand meaning — not just keywords.
LLM Orchestration
GPT-4o, Claude, or an open-source model as a basis — depending on requirements for data protection, latency, and budget. Context window management for multi-turn conversations.
Guardrails & Security
Output filters prevent unwanted responses. The bot stays within its defined topic area and says "I don't know" instead of hallucinating. GDPR-compliant data processing.
Multichannel Deployment
A bot core, multiple frontends: website widget, email inbox, Slack, Microsoft Teams, or WhatsApp Business. The logic is built once, and the channels are adapters.
Analytics & Feedback Loop
Dashboard with recognition rates, unanswered questions, and user satisfaction. Every unanswered question is used to improve the knowledge base.
Typical Stack
The specific stack depends on your existing systems and data protection requirements. Open-source alternatives available for on-premise deployment.
Frequently Asked Questions
Chatbots — answered concretely
How do the service packages differ?
In the Basic Package, you receive a fully functional live bot including RAG setup. This is fed with your existing FAQs and placed as a widget on the website. The Pro Package expands this with deep custom integrations (e.g., Zendesk, Hubspot), a standalone admin dashboard for your service team, and comprehensive process documentation including team training.
Does the chatbot invent answers?
No — through RAG (Retrieval-Augmented Generation), every answer is based on your documented knowledge base. Guardrails prevent hallucinations. If the bot does not find a suitable answer, it openly states that and forwards the inquiry.
How much preparation do I need?
Minimal. I work with what is available: FAQ pages, support emails, process documents, manuals. I handle the preparation and indexing. In the AI initial consultation, we clarify whether the basis is sufficient.
Where is the data stored?
GDPR-compliant in European data centers. If desired, also completely on-premise with open-source models. The architecture will be documented in the solution concept — including data flow.
Can the bot also answer emails?
Yes. The email prioritization analyzes incoming emails, classifies concerns, suggests response templates, and can automatically send standard responses — with approval options.
How much does a chatbot cost?
The basic version (e.g., as a pure FAQ bot or internal RAG system) starts from €3,500. The Pro Package (including custom integration into existing ticket systems, dashboard) starts from €5,500. Ongoing API costs usually amount to €30–80/month.
Chatbot solutions starting from the starter package — with deliverables.
Voice AgentsIf your customers prefer to call rather than write.
Corporate LLMInternal AI assistants for knowledge management.
Self-Assessment
Is an AI chatbot worth it?
Answer these 5 short guiding questions and immediately receive an assessment of how much potential this service holds for you.
Question 1 of 5
Do your employees receive recurring, similar customer inquiries daily (input effort)?
Next Step
Whether a chatbot has the greatest leverage for you, we will clarify in 45 minutes — free of charge and without obligation.
Request AI Initial Consultation nowConcrete Offer
What you get, how long it takes, and how risk is reduced.
- Result
- A working assistant for recurring requests, reply drafts, escalation rules, and handover to your team.
- Timeframe
- 3-6 weeks
- Price anchor
- pilot from 4,900 EUR
- Best fit
- Best when many requests repeat and your team needs faster triage.
Risk reduction
- Pilot before rollout
- Human-in-the-loop and fallback rules
- Documented data flow and handover
Proof material
Review sample deliverables before deciding: pilot report, implementation plan, prompt and fallback set, handover documentation.
View work examplesStandard process
- Maturity check and initial consultation
- Scoped pilot with realistic data
- Rollout decision and handover
Not included by default
External licenses, large-scale data cleanup, major ERP/CRM rebuilds, and legal case-by-case advice are scoped separately before project start.