Automation and AI

AI that works
in daily business,
not just in a demo.

We use AI where it measurably reduces workload: reading documents, pre-sorting enquiries, answering the phone. Embedded in your systems, controlled by your team.

All services
MacBook and iPhone showing the ibx restaurant demo: overview of a restaurant with revenue, guests, average bill and utilisation. Demo with fictional data.Illustrative image: a friendly AI assistant with a headset and a tablet, representing the restaurant's AI phone assistant.

The problem

Why AI projects
get stuck.

  • Unclear benefit

    People experiment, but nobody can say which work actually disappears.

  • No integration

    A chat window next to the actual systems remains a toy. Results have to be transferred by hand.

  • Concerns about data

    It is unclear which data goes where and who can see it.

  • Tied-up capacity

    Calls, documents and standard enquiries tie up people who are needed elsewhere.

The solution

Let it suggest,
decide yourself.

AI reads, sorts and drafts. Approvals, decisions and anything with external effect stay with people.

  • Read and classify

    Receipts, letters and attachments are read, summarised and suggested for a case.
  • Pre-sort and prepare

    Standard enquiries are recognised, sorted and given a draft reply.
  • AI phone assistant

    An assistant takes calls, answers recurring questions from your knowledge and creates a case.
  • Questions to your own data

    An assistant answers questions from your data, with sources and only within the permissions of the person asking.

In practice

Tasks that take
care of themselves.

Two examples of how AI connects your systems and takes over a process step by step.

Staff planning

  1. 01
    Sick note as the trigger

    A sick note in time tracking starts the process. The affected shift is recognised as open.

  2. 02
    Advertised automatically

    From the rota and qualifications the system finds who is eligible and advertises the shift internally.

  3. 03
    Application checked

    When someone volunteers, the AI checks working hours, rest periods and qualification against your rules.

  4. 04
    Scheduled

    If everything fits, the shift is assigned, the rota updated and everyone involved notified.

The open shift is filled before anyone in the office picks up the phone.

Material ordering

  1. 01
    Sale recorded

    Every sale from the till or inventory system updates stock. Stock levels are correct in real time.

  2. 02
    Demand forecast

    The AI recognises from usage, season and delivery times when material will run short.

  3. 03
    Order prepared

    The order proposal with quantity and supplier is ready for approval. One click and it goes out.

  4. 04
    Stocktake at the push of a button

    Because every movement is booked, stock is always known instead of counting for days.

Never too much or too little in stock, the stocktake happens on the side.

With AI

Built securely,
run in the EU.

From your data to the finished automation. On servers in the EU and with the models that fit your task.

  1. 01

    Connect data

    We pick up your data where it lives: from emails, documents, spreadsheets or your software.

  2. 02

    Prepare and store

    The data is organised, made searchable for the AI and stored encrypted in the EU.

  3. 03

    AI processing

    On servers in the EU the AI reads your documents, recognises connections and takes over recurring tasks.

  4. 04

    Make it available

    Results appear where you work: in a chat, in an app or in your usual programs.

Want to stay entirely in the EU? Then we build a fully local system on a server in Germany, for example an assistant that searches your documents. Your data and the AI model stay with you, nothing leaves the house.

  • Server and database in the EU
  • GDPR as the basis
  • EU AI Act as the framework
  • Local models: Gemma, Llama, Mistral, Qwen

Approach

Understand first,
then build.

  1. 01

    Sharpen the use case

    Which work should disappear, how often does it occur, what does it cost today?

    ResultAn assessed use case

  2. 02

    Define the data flow

    Which data goes to which service, who sees what, where does a person decide?

    ResultA documented data flow

  3. 03

    Build it properly

    Embedded in your systems, with logging and approval.

    ResultA solution in the real process

  4. 04

    Secure and operate

    Check quality, monitor costs, refine.

    ResultReliable operation

Results

What you get.

AI turns from a buzzword into a tool that takes work off your team. One example from daily work is Wieland OS with job and shift planning and an AI assistant.

We do not hand over a black box. After building it we check quality and limits, document the solution and train your team. Afterwards we stay on board, monitor operation and improve it. A good AI solution gets better over time, not worse.

  • An assessed and prioritised AI use case
  • A working solution in the real process
  • A documented data flow including all services involved
  • Documentation and onboarding, no black box
Book an initial call

01Questions

Before you
decide anything.

Where does AI really pay off for mid-sized companies?

For recurring tasks with clear rules: reading and assigning documents, preparing standard replies, compiling reports, answering calls. Where experience, negotiation or responsibility are involved, we say honestly that AI is not the right answer.

How do you handle data protection with AI?

Before building, we define which data goes to which service, who sees it and where a person decides, and we document it. Where necessary we use services with processing in the EU or locally operated models. The legal assessment remains with you and your data protection advisers.

What does an AI phone assistant do?

It takes calls, answers recurring questions from the knowledge you provide and creates a case in the system. Your team gets a finished entry instead of a note on a scrap of paper.

Does the AI then decide on its own?

No. The AI prepares and suggests. You decide what runs automatically and what a person checks. After set-up we review quality and limits, document the solution and train your team.

Appointment

A similar process
in your company?

In a 30-minute initial call we clarify where the biggest lever is and what a first, manageable step looks like. Pick a free time right here. You receive a confirmation with a calendar entry and can move or cancel the appointment yourself.

Prefer to write? info@ibx-company.de

Choose a day for your initial phone call (30 minutes).

November 2026
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