Services
Artificial
Intelligence
We support companies in making meaningful use of artificial intelligence – from identifying suitable use cases and requirements management to selecting providers and implementing them in everyday work.
Basic idea
AI becomes effective when it fits processes, data, and people.
Artificial intelligence is not made useful by simply introducing a tool. What is crucial is whether it is clear which problem is to be solved, which data and processes are relevant for it, and how employees can meaningfully use the new support in their day-to-day work.
We help companies to view AI not as an isolated technology project, but as part of their organisation, services, processes, and collaboration. This results in solutions that are not only technically feasible but also function practically.
Typical challenges
What companies often work on with AI
Many companies are grappling with AI, but the path from the initial idea to meaningful application is often unclear. There are many tools, many promises, and many potential areas of use – but not every use case brings real benefit.
Then guidance is needed: Which processes are suitable? Which data are available? Which requirements are really important? And how does an AI idea become a solution that is accepted and used in everyday work?
Which AI use cases bring genuine benefit to our company?
Where can we provide effective support for administrative or operational processes?
What data, processes, and systems do we need for a viable solution?
How do we select suitable providers and tools?
How do we introduce AI so that employees use it in their daily work?
How do we avoid knee-jerk reactions and create clear decision-making frameworks?
Two perspectives
AI needs technology. Impact is created through application.
Artificial intelligence becomes effective when technical possibilities are combined with concrete requirements, suitable processes, and acceptance in day-to-day work.
USE CASES & REQUIREMENTS
Understand the problem, clarify the benefit
It doesn't start with the question of which tool to use, but rather which problem needs to be solved. Good AI use cases emerge where a specific need, relevant data, and realistic benefits come together.
We support companies in identifying potential areas of application, clearly defining requirements, and prioritising use cases so that robust decision-making foundations can be created.
INTRODUCTION & ANCHORING
Choosing solutions, changing everyday life
AI only unfolds its value when it is understood, accepted, and used in everyday life. This requires suitable providers, clear processes, transparent communication, and a realistic picture of how roles and working methods will change.
We support companies with supplier selection, requirements management, project management and implementation – with the aim of not just testing AI solutions, but integrating them meaningfully into the organisation.
Our Approach
Leveraging AI – not just introducing a tool
We don't start AI projects by asking about the latest tool, but rather about the concrete benefits. Which tasks should become easier? Which processes are suitable? Which data and requirements are relevant? And what do employees need to be able to use AI meaningfully in their day-to-day work?
What is important to us is that we combine technological possibilities with process understanding, requirements management and feasibility. This is how AI solutions are created that are not just tried out, but make a clear contribution to the organisation's work.
To start from the concrete benefit
Assess Use Cases Realistically
Connecting processes, data, and requirements
Plan for acceptance from the outset
Power components
What we specifically support
Depending on the initial situation, we support with the first orientation, with concrete AI use cases or with the implementation of selected solutions. The key is that benefits, requirements, data, processes, and acceptance align.
Identifying AI potential and use cases
Evaluate and prioritise use cases
Describe requirements
Selecting providers and tools in a structured way
Analyze processes and data basis.
Accompanying piloting and proof of concept
Designing introductions and communication
Make Implementation stick
Selected Projects
Artificial intelligence is becoming concrete in projects
How AI can be used effectively is particularly evident in concrete application cases. The selected projects show how initial ideas develop into viable use cases, clear requirements, and implementable solutions.
Quality Management & AI
Introduction of quality management for customer interactions
Service and Digitalisation
Setting up a digital customer service site for a telco provider
Training & Digitalisation
Digitalisation of training in a trade academy
Training & Digitalisation
Digitalisation of training in a trade academy
Service and Digitalisation
Setting up a digital customer service site for a telco provider
Quality Management & AI
Introduction of quality management for customer interactions
Do you want to use AI sensibly and effectively?
Whether it's the first use case idea, requirements management, vendor selection, or implementation: we help ensure AI delivers real value in everyday life.
Discuss your project