How do I introduce AI in a mid-market company?

Schiller - Organisation. Digital. guides companies through step-by-step AI adoption. Not with a tool, but with the question: Where are you really losing time? We start with an assessment, build a Digital Twin as bridging technology, and expand gradually — each phase delivers immediate results.

70% of all large digitalization projects fail. Our iterative approach eliminates total-loss risk and gets companies moving in weeks, not months.

AI. Getting into motion.

Your company becomes digitally capable.

70% of large digitalization projects fail. Not because of technology, but because of missing preparation. We change that.

What we tackle

Four problems every company knows. We make them concrete.

Hesitation & Standstill

Everyone knows something needs to change. Nobody starts.

Sound familiar?

Sure, we need to do something. But we are not making progress. The last initiative took a year. In the end, nothing changed.

What we do

No big project. We look at where you actually lose time and start there. A pilot with one team, four weeks, one concrete problem. Manageable risk, immediately visible results.

What changes

Mid-sized company, 120 employees

  • Pilot with 5 people, live in 4 weeks
  • The team talks about it, others want to join
  • 18,000 euros invested and clarity gained

Knowledge organization, 80 employees

  • Document search drops from 2 hours to 5 seconds
  • Deadlines become automatically visible, never missed again
  • When someone leaves, the knowledge stays

Data Silos & Search Time

Five systems, five truths, nobody finds anything.

Sound familiar?

SharePoint, CRM, accounting, email. Everything is there, but nobody can find anything. Two hours searching for a presentation buried somewhere in the file share. And when a colleague leaves, the knowledge is gone.

What we do

The system reads what is already there. Your documents stay where they are. But now you can simply ask, in plain language, and get answers with source references.

What changes

Consulting firm, 15 employees

  • Everything about Project X in 5 seconds instead of 2 hours
  • Monday briefing at the push of a button, everything included
  • New colleagues ask the system instead of the team

Social enterprise, 200 employees

  • Planning across multiple locations in one system instead of Excel
  • AI detects conflicts and suggests alternatives
  • Sensitive data stays internal, anonymization runs automatically

Data Protection & Control

Use AI without customer data leaking out.

Sound familiar?

Three people on the team have ChatGPT Plus. One for emails, one for summaries, one not at all anymore. And nobody knows what customer data has already gone in.

What we do

Every request goes through our anonymizer. The AI never sees real names, only placeholders. This happens automatically and is verifiable at any time. EU cloud or on-premise, you decide.

What changes

Service provider, 60 employees

  • Audit log for the DPO, verifiable anytime
  • No more tool bans needed, because it is secure now
  • AI is used productively, without compliance risk

Knowledge organization with sensitive data

  • Contracts searchable, without anything reaching the cloud
  • Everything stays in your own network
  • DPO confirms compliance in 5 minutes

From Pilot to System

Start small, grow safely, decide informed.

Sound familiar?

The last digitalization project cost 150,000 euros and took a year. Today everyone is back to Excel. That is how it goes for 70% of all large projects.

What we do

We start with a small step and grow with you. Each phase delivers results that stand on their own. After 10 months you decide based on real experience, not based on a proposal document.

What changes

Mid-sized company after 6 months

  • The team uses it every day, voluntarily
  • First results from week 4, not from month 18
  • Informed decision whether to buy or build

Comparison: The big bang

  • 295,000 euros total cost, of which 145,000 euros hidden
  • 18 to 36 months during which nothing improves
  • Two thirds of all projects fail completely

Path to Digital Maturity

Small steps with real results. Each phase stands on its own.

1

Standortbestimmung

Wo liegen die Engpässe? Was kostet am meisten Zeit?

2

Erster Sprint

Ein Problem konkret lösen. Digitaler Zwilling live.

3

Routinen entstehen

Das Team nutzt es täglich. Keine Überredung mehr nötig.

4

Skalierung

Mehr Bereiche anschließen. Portfolio sichtbar.

5

Entscheidung

Zielsystem wählen — mit echten Daten.

First the foundation, then AI.

Before AI makes an impact, your systems and processes need to work. We help with that too.

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Michael Schiller

Let's talk.

30 minutes. You tell me where things are stuck. I'll honestly say if I can help. No sales pitch.

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