Use Cases / 03

Where AI shows impact in the company.

Instead of polished demos, we show how real processes become controlled AI impact: through a real project, typical applications and a method tested in research and teaching.

Project in focus

Scattered Excel files become a reliable data foundation.

Born from an enterprise mandate with a large German group: a method that connects AI agents with human control — shown publicly for the first time at the 2026 founding event.

01

Starting point

Corresponding Excel files

Several related Excel files could barely be consolidated manually — error-prone and without a reliable basis for AI.
02

Approach

Agents plus human-in-the-loop

AI agents merge the files into a consolidated data model; every merge is confirmed by a human.
03

Impact

Validated data foundation

A consolidated, validated data model as a reliable basis for further AI use — controlled, not a black box.

Applications

Typical use cases by area.

Example scenarios from processes we see again and again, with typical impact.

Retail

Category Reviews

8 hoursunder 1 hour

Analysis, preparation and decision bases are translated from recurring manual work into a guided flow.

Sales

Annual reviews

1 month1 day

Teams work with prepared data points, documents and lines of argument instead of scattered files.

Data quality

Data validation

manual check97.9%

AI is used with validated data, clear sources and human control — no black box.

Illustrative example scenarios — typical impact, not attributed to a single customer.

Scientifically grounded

Tested in research and teaching.

The method didn't emerge in a vacuum but at the University of St. Gallen and with scientific guidance from MIT.

since 2022AI in teaching & consulting at the University of St. Gallen
60MBA students in the business wargaming format
47strategy patterns systematically mapped
MITresearch partner Dr. Abel Sanchez, GenAI Global

How impact happens

From bottleneck to productive solution.

Three steps, thought from the value lever — not from the tool.

01

Step 1

Use-case check

We clarify the goal, data situation and roles involved and find the first process with measurable value.

02

Step 2

Value2Tool Roadmap

A decision-ready plan of which processes go productive first, with a secure starting point.

03

Step 3

Productive, data-sovereign implementation

The solution runs securely in your own system — with your own data, role permissions and approvals.

Next step

Let's find your first use case with measurable value.

In the use-case check we jointly assess impact, data situation and implementation effort.

The platform

OneMachine: your AI, in your system.

Productive AI that runs securely in your organization: with your own data, permissions and approvals. Distilled from real project work into a licensable product.

Explore OneMachine
Use Cases | MindsMachines