We start by assessing the current situation: Which data, systems, and processes are effective today, and where are the limitations?

This clarity gives rise to a target vision that provides guidance for the strategic use of AI in your company. On this basis, use cases can be prioritized according to their business benefits and translated into an actionable roadmap. This gives managers the transparency and clarity they need to take responsibility and set the course for the next steps.

This is particularly valuable when it is still unclear where AI can create the greatest added value in your company or what conditions need to be created within the company.

‍To prevent AI projects from getting stuck in the pilot stage, a framework is needed early on to ensure sustainable business benefits. Together, we establish clear guidelines that take into account your legal, organizational, and technical conditions within the company.

We support you in creating the right setting for roles and responsibilities in the form of an interdisciplinary committee that takes over strategic orchestration and anchors the framework in governance and processes. At the same time, we prepare the organization for change by establishing initial approaches for upskilling and change management at an early stage.

This step is particularly useful when initial use cases are becoming clearer, but it is not yet clear how they can be scaled securely and compliantly. This framework is a resilient foundation that goes far beyond individual prototypes and enables the scaling of future use cases.

We test your AI ideas in short, targeted iterations – technically, economically, and organizationally. With prototypes based on the mgm AI platform modules or directly on your systems, use cases can be quickly integrated and tested in a real-world environment.

This allows you to quickly identify which approaches are viable and should be prioritized for the next implementation phase. At the same time, you lay the foundation for scalable AI implementation in your system landscape and your company, manage investments in a targeted manner, and minimize risks.

‍We support AI solutions beyond their initial success. Working closely with specialist departments, we continuously monitor the impact, performance, and acceptance of your systems.

Using the mgm AI platform or your own systems, we identify technical, organizational, and regulatory potential, thereby continuously improving efficiency, quality, and transparency—ensuring that your AI delivers lasting, measurable business benefits and remains stable in operation.

AI models are increasingly finding their way into business-critical processes. To ward off attacks and limit damage, we secure the entire AI infrastructure involved. At the same time, we comply with legal requirements and ensure that everything remains verifiable. Right from the start of setting up the AI infrastructure, we support you in choosing suitable models and integrating and connecting external systems.

We help you build knowledge databases, regulate data access for authorized users, and create a secure platform. This enables us to detect attacks on the system at an early stage and respond immediately. Ideally, our collaboration begins with the creation of a target architecture before implementation begins. Even if technical questions are still open, we can quickly assess how sensitive your data is.

The end result is a sustainable system that meets legal requirements for data protection and security, protects your data efficiently, and avoids unnecessary steps.

Once initial AI pilots have been successful, it is important to transfer the findings to the company and thus strategically anchor AI in the organization. This is exactly where we come in: We support you in systematically transferring these learning experiences to other areas, integrating specialist departments through targeted competence development, and ensuring acceptance among the workforce.

This continuously develops the framework for the use of AI in your company and embeds it firmly in governance and processes – the basis for AI to not only have a selective effect, but to deliver measurable business benefits as an integral part of your organization and to truly achieve sustainable scaling.