AI Chatbots & Assistants

AI chatbots that handle first-line customer support — answering product questions, tracking order status, processing returns, resetting passwords and resolving common issues — without queuing for a human agent. Available 24/7 and capable of handling multiple conversations simultaneously.

• LLM-powered responses grounded in your product documentation
• Order status, account lookup and self-service actions
• Multi-turn conversation handling with context memory
• German and English language support out of the box
• Handover to human agent with full conversation transcript
• Integration with Zendesk, Freshdesk, HubSpot or custom CRM
• GDPR-compliant data handling and conversation logging
• Satisfaction rating and unresolved query escalation

AI assistants that give employees instant answers from internal documentation, SOPs, HR policies and product knowledge bases — without searching through SharePoint folders or asking a colleague. Reduces onboarding time, support team load and the tribal knowledge problem.

• RAG (retrieval-augmented generation) over internal document library
• Connects to SharePoint, Confluence, Notion or custom knowledge base
• Source citation with link to original document for verification
• Role-based access: employees only see documents they are permitted to see
• Slack, Teams or web interface deployment
• Feedback loop: thumbs up/down trains the system over time
• Handles follow-up questions within the same session
• Document freshness monitoring: alerts when source content is outdated

Conversational chatbots that engage website visitors, ask qualifying questions, score leads by fit and intent, and either book a meeting directly or route the lead to the right sales team member — running 24/7 so no visitor leaves without being engaged.

• Qualification question flow with conditional branching
• Lead scoring based on company size, budget, timeline and need
• Calendar integration for direct meeting booking (Calendly, Google, Outlook)
• CRM lead creation with qualification data on handover
• Multi-language support for German and EU market visitors
• A/B testing different qualification flows
• Session tracking and re-engagement for returning visitors
• Handoff to live chat for high-value leads in business hours

Automating the resolution of repetitive support tickets and FAQs — deflecting common queries before they reach your support team. The chatbot handles routine questions, creates tickets for complex issues and ensures nothing falls through the cracks during peak periods.

• Intent recognition across hundreds of question variants
• Automatic FAQ answer from structured knowledge base
• Ticket creation with pre-populated fields for unresolved queries
• Priority routing: urgent queries flagged and escalated immediately
• Self-service actions: password reset, order cancellation, status check
• Conversation history available to human agent on handover
• Deflection rate tracking and ROI reporting
• Continuous training from newly resolved tickets

AI chatbots deployed on WhatsApp Business API, Telegram and other messaging channels — meeting customers and leads where they already communicate rather than requiring them to find a web chat widget. Particularly effective for appointment confirmations, order notifications and customer support in the DACH market.

• WhatsApp Business API setup and compliance configuration
• Chatbot logic deployment on WhatsApp and Telegram
• Transactional message templates (order updates, appointment reminders)
• Inbound message triage and auto-response
• Media handling (images, documents, voice messages)
• CRM integration on every message interaction
• GDPR opt-in and consent management for messaging
• Unified inbox aggregation across multiple channels

The logic that determines when a chatbot should hand a conversation to a human — and how to do it without losing context or frustrating the customer. Well-designed escalation is the difference between a chatbot that increases customer satisfaction and one that damages it.

• Trigger-based escalation: sentiment drop, specific keywords, explicit request
• Business hours routing: live agent in hours, callback offer out of hours
• Full conversation transcript passed to human agent on handover
• Queue position and wait time communication to the customer
• Warm handover: bot briefs agent on issue before transfer
• Fallback response design for edge cases the bot cannot handle
• Dead-end detection: bot recognises when it is going in circles
• Post-handover feedback collection for bot improvement