Build a Customer Service Chatbot
How I can help
A customer service chatbot can significantly reduce workload — as long as it provides reliable answers. I don’t build generic “chatbots”, but AI assistants that respond only based on your own information and escalate to a human agent when uncertain.
Together we determine the level that fits your organisation and budget: from a simple FAQ bot to an advanced AI assistant that searches your website and automatically escalates to email or ticketing systems.
Level 1: Standard FAQ Bot
Fast responses to predefined frequently asked questions.
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Pre-configured question-answer combinations for topics such as opening hours, pricing, delivery times and contact details. Fast and cost-effective, but limited when questions deviate from predefined patterns.
Level 2: Website-Based AI (RAG)
An AI assistant that responds exclusively based on your website and internal documentation.
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The assistant searches your website, knowledge base or PDFs via a vector database (Retrieval Augmented Generation) and generates responses with sources. Rule: no source = no answer. This prevents hallucinations and maintains reliability.
Escalation to Human Support
When the assistant lacks sufficient confidence, the request is automatically escalated.
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In case of low confidence, a ticket is created or an email is sent to support. Instead of guessing, the assistant escalates the request. Integrations with email, ticketing systems, CRM or WhatsApp are possible.
Smart Extensions
Architecture
Technical Setup
Large Language Model + vector database of your website + strict rules: only answer with source data, otherwise escalate to a human agent. This combines automation with reliability and maintains control over customer communication.
Who it's for, approach and expertise
Who is this for?
For organisations looking to apply AI in a practical way for automation, customer support, knowledge management or decision-making — without becoming dependent on black-box solutions or unreliable generic tools.
How I work
Analysis of processes and data sources, identifying where AI truly adds value, building custom AI agents and integrating them with existing systems — with a strong focus on control, security and reliability.
Why hire a specialist?
Effective AI requires more than an API integration. It involves knowledge of data flows, security, prompting, system integration and governance. Hiring a specialist prevents costly experimentation without results.
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