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AI chatbot agency for business—GDPR and system integration
RAG · knowledge base · GDPR · ERP/CRM · Made in Germany

AI chatbot agency for business: knowledge base, GDPR and integration

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

As an AI chatbot agency we build assistants that know your processes and data—GDPR-aligned, integrated into your stack with secure handoff to humans. Not generic ChatGPT, but retrieval on your knowledge.

Direct answer: AI chatbot agency for business

Groenewold IT Solutions is a specialised AI chatbot agency from Germany. We build chatbots on your knowledge base, CRM/ERP and ticketing—not off-the-shelf SaaS with generic answers.

Next step: book a consultation. Budget factors: AI chatbot costs. Technical B2B landing: AI chatbot development.

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.

Chatbot, AI agent, support bot, CRM bot: differences

Live chat: Human agents in real time—no AI layer.
Rule-based bot: Fixed trees—cheap, inflexible for unknown questions.
RAG AI chatbot: LLM plus your documents—handles unstructured questions.
Support chatbot: Optimised for tickets, SLAs and escalation.
CRM chatbot: Reads and updates CRM records in context.
AI agent: Plans multi-step tasks and tools—see AI agents.

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.

GDPR operations

EU hosting, logging and deletion concepts.

Implementation process

01

Use-case analysis

Channels, data sources and ROI focus.

02

Knowledge base

Structure docs, FAQs and processes for RAG.

03

Build & integrate

CRM/ERP/tickets, escalation, privacy review.

04

Test & operate

Training, monitoring, answer quality loops.

Agency vs development: two URLs, two intents

AI chatbot agency for website support packages; depth on AI chatbot development. Hub: AI cluster overview.

FAQ: agency services, knowledge base and integration

AI chatbot agency with knowledge base, interfaces and staff handoff
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 answers from your products, processes and policies with CRM or ticket integration—not generic web training. Data stays in your controlled environment.
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 on your data, escalation to humans, monitoring and training for your team—GDPR-aligned 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; overview in the AI cluster hub.

Ready for your AI chatbot?

In a free intro call we analyse your use case, privacy needs and a first effort estimate.

Request consultation

Scope: AI chatbot agency vs AI chatbot development

Transactional customer chatbot packages – technical depth on AI chatbot development.

Hub: AI & machine learning (overview).

Related paths in this cluster and adjacent topics

Overview and decision matrix: AI & machine learning (overview)

More AI services

Adjacent service categories

AI chatbot agency: from use case to production

Björn Groenewold

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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AI Chatbot Agency for Business | GDPR, Knowledge Base & Integration | Groenewold IT