AI Solutions Architect

The focus is on developing a scalable target architecture that supports concrete use cases, integrates existing system landscapes and takes regulatory requirements into account.

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Artificial intelligence offers companies a wide range of opportunities to make processes more efficient, leverage knowledge more effectively, and support informed decision-making.

Targeted integration into business models, processes, and existing system landscapes is crucial for the long-term success of AI.

An AI Solution Architect builds the bridge between a company's business requirements and the technical possibilities of artificial intelligence. They identify suitable use cases, design the necessary solution and system architecture, and ensure that data, processes, technologies, and governance requirements work together effectively.

Developing AI solutions with measurable valueDeveloping AI solutions with measurable value

The goal is to create AI solutions that make a measurable contribution to everyday business operations. They must integrate into existing processes and system landscapes, be adopted by employees, and be capable of growing alongside the company's requirements.

How can AI be structured and effectively implemented within a company?How can AI be structured and effectively implemented within a company?

Our service portfolio creates the foundation for deploying AI in a structured, secure, and measurable way. From strategic alignment and technical implementation to embedding it into daily operations, we support companies in effectively introducing AI and sustainably integrating it into their organization, processes, and workflows.

Are you looking to develop an AI architecture for your company?

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AI Solutions Architect

Developing the AI solution architecture

A capable AI landscape needs a technical architecture that connects systems, data and interfaces sensibly. This creates the conditions for AI solutions that can be run safely, integrated into existing structures and grown along with the company's requirements.

Building the data and information architecture

The quality of AI applications depends largely on the availability and structure of the relevant data. The goal is to build a capable data and information architecture that creates transparency and forms a reliable basis for AI applications.

Developing AI applications

Based on the use cases identified, we develop AI solutions that take work off people's hands, simplify processes and support decisions. The focus is not on the technology itself but on its concrete value in everyday work and on integrating it seamlessly into existing processes.

Piloting and scaling

Before AI solutions are rolled out across the company we test their value in pilot projects. If the applications prove themselves in everyday work, we transfer them step by step to further areas, scale them in a structured way and anchor them in processes and organisation for the long term.

Change management and enablement

Introducing AI changes ways of working, processes and responsibilities. With targeted training, clear communication and building the necessary skills, we create the conditions for employees and managers to use AI safely, effectively and responsibly in their daily work.

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Get in touch! After a personal consultation, you will know exactly what THE MAK'ED TEAM can do for your company.

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