AI Consulting helps companies deploy artificial intelligence in a strategically sound and cost-effective manner. The goal is to take a realistic approach to AI and uncover its true potential. Our AI consulting combines strategic planning with pragmatic implementation. We identify suitable use cases, evaluate data and system landscapes, and guide companies from the initial idea to a scalable AI solution. This service is part of our IT consulting for businesses.
Our focus is on the analysis, strategic design, and future-proof development of your intelligent enterprise architecture. These innovative projects typically involve data-driven automation, which yields the greatest measurable results. They reduce costs in routine processes, improve the user experience, and leverage intelligent data structures to uncover entirely new opportunities for increasing profits.
Our Areas of Focus in AI Consulting
In AI consulting, we focus on use cases with measurable benefits. Typical areas of focus for our AI consulting include:
By applying traditional machine learning models to your historical transaction data, you can proactively prevent customer churn and deliver the most relevant cross-selling and upselling recommendations at the right time—all fully automated.
Design and implementation of Retrieval-Augmented Generation (RAG) systems. We’ll show you how Large Language Models (LLMs) can securely access your internal documents, contracts, and databases.
Noticeable relief in your familiar work environment. We integrate intelligent workflows directly into the M365 ecosystem to automate everyday processes—such as generating emails or filling out forms—efficiently and sustainably.
Automation of internal and external communication using modern dialogue systems. We design solutions for automated customer service and to reduce the workload on teams through targeted, intelligent assistance systems.
Our AI Consulting Projects
As part of our AI consulting services, we support companies in the strategic planning and responsible implementation of artificial intelligence. The goal is to enable well-informed decisions and avoid misguided investments.
This includes, among other things:
- Developing customized AI roadmaps and structured use-case analyses
- Assessing technological maturity, data availability, and organizational requirements (AI Readiness Assessment)
- Assisting with “make-or-buy” decisions between off-the-shelf solutions and custom development
- Formulating practical guidelines for data governance, compliance, and the secure use of generative AI
A high-performance data and system architecture forms the foundation for successful AI applications. We design and support the development of stable, scalable architectures that meet both current and future requirements.
Our services include:
- Analysis of existing IT, data, and cloud structures and the development of suitable target architectures
- Designing modern, data-driven architectures for AI applications
- Flexible, vendor-neutral integration of cloud platforms (e.g., AWS, Azure, Google Cloud) and hybrid infrastructures
- Establishing sustainable data organizations and efficient data collection and processing structures
Based on a robust architecture, we provide support in the selection, development, and integration of suitable AI models, as well as in the automation of data-driven processes.
Typical project focuses include:
- Selection, customization, and integration of appropriate model architectures for specific use cases
- Development and training of machine learning models using structured enterprise data (e.g., forecasting, classification, pattern recognition)
- Automation of text-based business processes, such as through intelligent document processing or automated communication
- Integration of AI components into existing IT and software systems via flexible interfaces
AI applications only realize their full potential in stable, production-level operations. We help companies operate, monitor, and continuously improve AI solutions in a sustainable manner.
This includes, among other things:
- Implementing structured MLOps concepts for the entire lifecycle of AI models
- Automating data preparation and continuous model updates
- Designing monitoring solutions to track model quality, performance, and reliability
- Scaling computationally intensive workloads through appropriate infrastructure and resource planning
Our AI consultants will help you identify suitable use cases and guide you through the implementation process until the solution is up and running.
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What exactly does an AI consultant do?
An AI consultant (Artificial Intelligence Consultant) analyzes your existing business processes, identifies opportunities for automation and optimization through AI, and guides you from strategy development through the implementation of customized AI solutions.
For which companies is AI consulting worthwhile?
AI is no longer reserved solely for projects at large corporations. Small and medium-sized enterprises (SMEs) in particular benefit from AI consulting to increase efficiency, reduce costs (e.g., in customer service or marketing), and remain competitive.
How does AI consulting differ from traditional IT consulting?
AI consulting focuses on data-driven use cases, intelligent automation, and the deployment of AI models. Traditional IT consulting primarily addresses infrastructure, systems, and processes.