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AI with real value on reliable data

We help you use AI where it delivers measurable value, on reliable data, and with rules that hold up with customers and regulators.

For us, AI starts with the data, not with the model. You receive prioritized use cases, a recommendation for architecture and platform, and an AI policy covering approvals and labeling.

Book an initial call

45 minutes, free of charge, by video.

Start the check

How ready is your initiative for a decision? Find out in 3 minutes.

Glass cube with gold edges and a glowing core, sending out fine gold threads, as an image of AI that comes to the data
3D visualization: AI-generated

What it is about

Data first, then the model

In many companies, AI is already in use, often without shared rules. Employees work with chat assistants, business units test their own tools, and vendors build AI into existing software. Management rarely knows which data leaves the company in the process.

That is why we start with an inventory and with the use cases that matter for your business. For each use case, we assess the target benefit, the effort, and the data foundation. Often the biggest lever lies first in better data and only then in a model.

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We compare models and platforms independently and with the same question as for infrastructure: where do they run, and who can access the data? Wherever possible, we recommend environments in which the AI comes to the data.

The result is an AI policy: which applications are permitted, who approves them, how AI-generated content is labeled, and which obligations under the EU AI Act apply to you. That makes AI a governed part of your business.

Bronze sphere with a glass core, surrounded by golden orbital rings
3D visualization: AI-generated

What you gain

AI with impact, under your control

  1. Value before technology

    Use cases are prioritized by expected benefit, effort, and data foundation. You invest first where AI makes a difference in your business.

  2. Knowing where your data flows

    You know which data goes into which AI application and where it is processed. That is the basis for every approval.

  3. Rules that work in daily practice

    The AI policy states clearly what is permitted, who approves it, and how content is labeled. Employees gain confidence instead of running into blanket bans.

  4. Prepared for the EU AI Act

    You know the obligations that apply to your applications and have the evidence ready before anyone asks for it.

What we analyze

The full picture

  • Use cases and their benefit
  • Data foundation and AI readiness
  • Models and platforms, compared independently
  • Classification under the EU AI Act
  • Skills and accountability in the team

What you receive

Results that belong to you

  • Prioritized use cases
  • A recommendation for architecture and platform
  • An AI policy covering approvals and labeling

How we work

Four steps, each with a result

  1. Step 1

    Take stock

    We establish where AI is already used today and which data is processed along the way.

    Result: An overview of where AI is already used, and on which data.

  2. Step 2

    Assess the use cases

    We prioritize by target benefit, effort, data foundation, and risk.

    Result: Prioritized use cases.

  3. Step 3

    Choose the platform

    We compare models and operating locations independently and recommend an architecture.

    Result: A recommendation for architecture and where it runs.

  4. Step 4

    Set the rules

    We develop the AI policy covering approvals, labeling, and classification under the EU AI Act.

    Result: An AI policy covering approvals and labeling.

In practice

AI is already in-house, but the rules are still missing

In one company, several departments use chat assistants, some of them with customer data. Instead of a blanket ban, we record actual use, assess the use cases, and recommend an approved environment. Employees keep working with AI, now with clear rules, and management knows where which data is processed.

A typical scenario as we encounter it in engagements, not a single client case.

Glass cube with a glowing core in a bronze frame with a small padlock
3D visualization: AI-generated

When it pays off

Typical triggers

  • Business units use AI without shared rules
  • Before investing in an AI platform
  • When AI is to be used in customer interactions

How it fits your path. We already assess AI readiness in the BISA baseline assessment and the BEIA enterprise assessment. Architect (target state) and Transform (implementation) follow. It always starts with a free 45-minute initial call.

Your path with SIMO at a glance

Questions executives ask

Questions executives ask about it

What does the EU AI Act require of my company?

Since August 2, 2026, the transparency obligations under Article 50 have applied, for example for chatbots and AI-generated content. For high-risk AI systems under Annex III, such as in recruitment or credit checks, further obligations apply from December 2, 2027, and for systems under Annex I from August 2, 2028 (Regulation (EU) 2026/1744).

As of October 2026 · not legal advice

Does my data stay under control when I use AI?

“Ihre Daten bleiben Ihre Daten.” Your data stays under your control. We assess where models run and who can access data, and recommend environments in which the AI comes to the data.

Who from our company does AI advisory need?

The business units that use AI or want to, IT for data and operations, and management to approve the rules. At the start, we work out together where AI is already in use.

Where does AI advisory with SIMO start?

With a free 45-minute initial call by video. We already assess AI readiness on site in the BISA baseline assessment and the BEIA enterprise assessment; the target state and implementation follow.

Why SIMO

Advice that is on your side

  • Independent

    We are not tied to any vendor. Our recommendation follows the outcome of the engagement.

  • As peers

    Every engagement is led personally by one Managing Partner, from the initial call to handover: Thomas Wassum or Andreas O. Schwan.

  • Results-driven

    Every phase delivers a result that stands on its own. No lock-in, no obligation to continue.

  • Sovereign

    “Ihre Daten bleiben Ihre Daten.” Your data stays under your control. For sovereignty-critical data, we do not recommend US hyperscalers.

Read on

Your next step

45 minutes, and you will know whether it fits.

The initial call is free of charge and without obligation. You speak directly with one of our two Managing Partners, by video.

Book an initial call

45 minutes, free of charge, by video.

Start the check

Prefer to assess your position first? Twelve questions, about 3 minutes.

Prefer to call? +49 6021 625 63 40

Note: the 3D visualizations on this page were created with AI.