AI consulting for companies

An experience that creates added value in the best sense of the word! AI consulting helps you to identify the potential of artificial intelligence in your company. And supports you competently and actively in the implementation and use of artificial intelligence in strategies and processes to improve your efficiency, gain competitive advantages and generally increase the value of your products, services and your entire company.

Of course, this depends on the scope of your AI use case. We draw up an individual cost plan for you at the start of each project. Because one of our non-negotiable guiding principles is that each of our projects must generate real added value, we also show you from the outset what specific benefits and savings your use case will generate.

Look for experience and expertise, references and industry knowledge. Do you receive clearly defined road maps, timelines and cost plans? What ethical principles does the AI consultancy use for handling your data and for AI decisions? Can it act freely for you or is it tied to specific cloud or technology partners? The easiest way to check your potential AI consultancy is to arrange a free, no-obligation initial consultation.

You determine the benefits! We help you to establish the right AI technologies, tools and processes to realize these benefits. In general, AI can help you to boost your competitiveness, increase your profitability and maximize your added value for employees, customers and stakeholders. Some key aspects of AI for business are: Automation, Big Data analysis & evaluation, predictive analytics, risk management, innovation and effective communication.

With models such as GPT and LLM, you can increase the efficiency, innovation and competitiveness of your company. Examples that we have already implemented for our customers include Chatbots and NLP (Natural Language Processing) for communicating with a wide range of target groups in natural language, automation of tasks, e.g. AI-driven workflows, knowledge management, decision support, market research & trend analysis, content generation, security & fraud detection, compliance & legal advice.

This depends on the scope; a simple chatbot is ready for use more quickly than a complex digital twin production environment. Basically, we follow a step-by-step maxim: we ensure that your key users can experiment with an initial prototype within just a few days.
We then develop an MVP in a few weeks, which the first customers can then experience and test. We use the feedback from all these experiences to develop the finished AI application. Because we get everyone involved right from the start, you can effortlessly make your entire company fit for AI at the same time.

The general rule is: no AI project without data. The relevance, quality and quantity of your data has a decisive influence on the benefits and results that your AI system will deliver. AI requires different types of data in order to train models, make predictions and automate tasks. Relevant data types include Structured data in tabular form, unstructured data such as text, images, audio and video files, semi-structured data such as JSON or XML files (e.g. in APIs, web and IoT applications), geospatial data, social data (e.g. from posts, interactions, customer reviews, sentiment analysis), sensor and IoT data. We help you to make all this data fit for your AI application.

Responsible AI or responsible artificial intelligence develops, implements and uses AI and machine learning with reference to ethical principles, social values and legal regulations. The goal is to build AI applications that are ethical, fair, transparent, sustainable and safe while creating value for your organization, your teams, your customers, society and the environment. Responsible AI is firmly anchored in MaibornWolff's guiding principles and is tracked for each of our AI projects.