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09 – INTELLIGENCE LAYER

Artificial Intelligence & Automation

We take over repetitive tasks within the company with artificial intelligence: proposal preparation, document reading, initial response to the customer, report generation. We deliver a working process, not a model.

When will we be called?

If these sound familiar

If you have one of the following situations, it means there is something concrete to talk about in this area.

  • A team that answers the same questions by hand every day
  • Preparation of proposal and report one by one manually
  • Company information remains in files and cannot be searched
  • AI projects that have been tried but not put into production

Scope

19 service items

The scope narrows or expands depending on the project; You don't have to buy them all at once.

  • AI Agent Development
  • Enterprise AI Assistants
  • AI Chatbot
  • WhatsApp AI Assistant
  • AI Customer Service
  • AI Sales Assistant
  • AI Document Analysis
  • AI Knowledge Base / RAG Systems
  • Email Automation
  • Quotation and Report Automation
  • Workflow Automation
  • Voice AI Assistants
  • AI Data Analysis
  • OpenAI Integrations
  • Google Gemini Integrations
  • Claude Integrations
  • Microsoft Copilot Integrations
  • n8n / Make Automations
  • Enterprise AI Integration

What changes?

response time

The first answer goes from hours to seconds; The team only deals with exceptions.

hand job

Repetitive tasks such as quotes, reports, and data entry fall out of flow.

institutional memory

The information in the files becomes questionable.

Technologies

  • OpenAI
  • Google Gemini
  • claude
  • Azure AI
  • n8n
  • make
  • Python
  • LangChain
  • pgvector

Working model

How are we moving forward?

Each step has a written output; We do not leave progress to verbal agreement.

Discovery

We examine existing systems, processes and team on site. Output: written status report.

Scope

We write down what to do, what not to do and the acceptance criteria.

Setup

We develop in two-week cycles and show a working version at the end of each cycle.

Put in to use

We go live with training, documentation and a transition plan.

Business

We monitor and continue to improve with the service level agreement.

frequently asked questions

Will our data be used to train the model?

No. We are working on enterprise API plans; data is not sent to model training. Optionally, we can install the entire system in your own cloud or on your own server.

Can it connect to our existing systems?

Yes. We connect to your ERP, CRM, accounting, e-mail and file systems via API or database. Integration is an integral part of the project.

How long does it take to go live?

A single use case (e.g. document Q&A or WhatsApp assistant) is typically put into production in 3-6 weeks. As the scope expands, the duration increases.

Let's talk about what can be done on the Artificial Intelligence & Automation side.

We listen to your existing systems and return with a scope and approach recommendation within two business days. The first meeting is free.