AI chatbot agency: RAG knowledge, privacy and integration
You receive a scoped bot, documented knowledge sources and interfaces, a test set and clear escalation and operating rules for handover to your team.
For mid-sized companies: custom chatbots on your data with handoff to agents—not generic off-the-shelf bots – delivery and project ownership from Germany (Leer/East Frisia), named contacts, no offshore guesswork.
- 250+ delivered projects
- 5.0 stars on Google
- 100% engineering in Germany
Specialised agency vs. generic chatbot tool
Generic platforms start fast but rarely know your products, permissions or ERP data. We build tailored knowledge bases, escalation paths, stable integrations and GDPR-oriented operations— with optional on-premise models when data must not leave your network.
RAG retrieves approved knowledge at runtime; it does not automatically train the model on customer data. Review the main AI chatbot cost factors or the delivery details for B2B chatbot development.
Project references
Selected case studies from our project work
Documented examples with transparent evidence types — browse matching references or open the full case study.
Chatbot, AI agent, support bot, CRM bot: differences
Typical use cases for business chatbots
Website FAQ
24/7 answers with human handoff when needed.
Internal knowledge
Search handbooks and wikis via chat.
HR & onboarding
Automated answers on policies and processes.
IT helpdesk
Triage and route standard IT requests.
Product guidance
Configuration help in shop or CRM context.
Privacy-oriented operations
EU hosting or on-premise options, logging, access and deletion concepts.
Implementation process
Use-case analysis
Channels, data sources and ROI focus.
Knowledge base
Structure docs, FAQs and processes for RAG.
Build & integrate
CRM/ERP/tickets, escalation, privacy review.
Test & operate
Team enablement, monitoring and answer-quality loops.
Agency vs development: two pages, two focus areas
AI chatbot agency for website support packages; depth on AI chatbot development. Overview: AI services overview.
FAQ: agency services, knowledge base and integration
- Which companies benefit from an AI chatbot?
- Mid-sized companies with recurring support, internal knowledge or HR questions gain the most: high ticket volume, large documentation bases or 24/7 customer expectations. A structured knowledge base speeds up relevant answers.
- How do we build an AI chatbot for our website?
- Typical steps: use-case analysis, knowledge base from docs and FAQs, technical build and website embed, GDPR review, test and go-live. A focused FAQ bot often goes live in 6–10 weeks.
- Which data sources can an AI chatbot use?
- PDFs, wikis, crawled website content, CRM and ERP data, ticket history—via APIs or refreshed RAG indexes depending on sensitivity and freshness needs.
- How do we plan an AI chatbot in a GDPR-aligned way?
- Clarify personal data, hosting region and third-party models early. We favour EU hosting, DPAs with vendors, retention rules and roles. DPIA support on request—we do not replace legal counsel.
- How is a custom business chatbot different from ChatGPT?
- It retrieves approved products, processes and policies at runtime and can connect to CRM or ticketing. With RAG, customer content is indexed and retrieved; the language model is not automatically trained on that data. Fine-tuning changes model parameters and is a separate option considered only where justified.
- How long does implementation take?
- Simple FAQ bots: 6–10 weeks. CRM/ERP integration and complex dialogues: often 3–6 months. We start with analysis and a proof of concept.
- What does an AI chatbot cost?
- Depends on sources, channels, integrations and operations. Orientation and calculators under /en/costs/ai-chatbot—we quote transparently after requirements analysis.
- Typical use cases?
- Website FAQ, internal knowledge search, customer service triage, product configuration help, HR onboarding, IT helpdesk—we prioritise ROI together.
- What does an AI chatbot agency deliver?
- Concept, development, integration and operations: RAG over approved knowledge, escalation to humans, monitoring and enablement for your team—privacy-oriented delivery from Germany.
- AI chatbot agency or AI chatbot development—which page matches my project?
- The agency page targets website support and packaged rollout. Development covers complex B2B integration. Technical depth is on AI chatbot development; see the AI services overview on the main AI page.
Ready for your AI chatbot?
In a free intro call we analyse your use case, privacy needs and a first effort estimate.
Request consultationScope: AI chatbot agency vs AI chatbot development
Transactional customer chatbot packages – technical depth on AI chatbot development.
Overview: AI & machine learning (overview).
Related paths and adjacent topics
Service overview: AI & machine learning (overview)
More AI services
Adjacent service categories
Up to 50% of your investment via BAFA/KfW
Use our funding calculator to see which government grants may apply to your project.
Björn Groenewold – Managing Director
Service cluster
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