AI that advances your department – and that you can represent internally.

AI is on everyone’s agenda. However, most companies are still not doing anything concrete.

Not because the technology is missing. It’s because no one is taking overall responsibility – for the use case, database and governance at the same time. DMG has distilled tried-and-tested integration patterns, governance frameworks and implementation processes for AI from over 200 enterprise projects – and brings them to your project from day one as an AI integration engine.

What is possible with the right foundation

AI really relieves the burden on specialist departments. Recurring tasks automated, information available more quickly, decisions better prepared. AI that becomes part of everyday life in the department – not stuck in the pilot phase.
AI that convinces legal, IT security and data protection right from the start. Not as a compromise that slows down the project – but as a basis that supports everyone involved right from the start. Governance that accelerates the project instead of slowing it down.
AI that intelligently enhances existing systems.
CRM, ERP, departmental systems – AI should create added value where departments are already working. Without system migrations, without interfering with current processes, without new complexity.
AI really embrace the specialist areas. An AI system is only valuable when the specialist department works with it. DMG structures the introduction and training so that users understand, trust and use the system on a daily basis.

Why AI projects fail without the right foundation

AI initiatives almost never fail because of the technology.

The use case is unclear

“We want to use AI” is not a use case. The question is: What specific problem does AI solve in this specialist area – and how do we measure whether it has been solved? Without a clear answer, an AI initiative becomes an expensive experiment. DMG starts every AI project by answering this question – before a single line of code is written.

The data basis is not correct

AI is only as good as the data it uses. In most companies, data is in silos, quality is unclear, access rights are unclear. DMG evaluates the database before AI development begins – and honestly states whether the basis is sufficient for the planned use case.

Governance and compliance are considered too late

In unprepared projects, the GDPR, EU AI Act and internal compliance requirements appear in week ten – and set the project back. In one industrial group, this cost three months. DMG provides governance frameworks that are in place right from the start – not as a brake but as an accelerator.

Users are not picked up

An AI system that department employees do not understand or trust will not be used. Regardless of how good it is technically. DMG structures implementation and change management right from the start – not as an afterthought after the go-live.

What the engine brings to the table

That’s the difference between an AI project that starts – and one that arrives.

Use case evaluation that saves time Which AI use case has the greatest leverage? What data is available and sufficient. What can be delivered in three months – and what needs twelve. DMG provides a structured evaluation framework that answers these questions in weeks – not months.

Integration patterns for existing systems AI must work where specialist departments are already working. DMG provides integration patterns that embed AI in CRM, ERP and departmental systems – without destabilizing them. Controlled data access and clear interfaces right from the start.

Governance frameworks that all stakeholders accept GDPR compliance, traceability of AI decisions, controlled data access – DMG brings frameworks that have taken on IT security, legal and data protection in real corporate projects. No surprises in week ten.

Implementation processes that ensure user acceptance – and sustain operations in the long term AI that is not used has missed its target. DMG structures implementation, training and change management so that specialist departments understand and use the system. And then: an operating model that ensures that models remain up-to-date and the system grows with new requirements.

From the field

60% less processing time – go-live in four months Insurance group – AI document processing – 2024
“We want to use AI – but we don’t know which use case really adds value.”

DMG did not start with the model question, but with the question of which processes cause the greatest manual effort. Das Governance-Framework war vor Projektstart abgestimmt – Legal und IT-Security haben das System vor Go-live freigegeben.

Result: 60% less processing time per process. Go-live in four months.

AI in planning platform – supply chain surprises measurably reduced
Logistics group – AI integration – 2023
“We want to integrate AI into our planning platform – without touching the system and without months of IT coordination.”

DMG realized the integration via defined interfaces. The core system remained unchanged. Data access was limited to what was necessary and documented from the outset – GDPR-compliant from day one.

Result: Unplanned supply chain incidents reduced by 35%. IT security release in week three.

→ View all projects and references

What customers say

“We had the use case. What we were missing was someone to say whether the database was sufficient – and what to do if it was not. DMG clarified this in the first phase. That saved us four months of detours.”
Head of department, insurance group

“The governance framework was ready in week two. Legal and IT Security were able to support the project from the start instead of stopping it in week ten. That made all the difference.”
Head of Digital, industrial group, 15,000 employees