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Seven steps to success


The following guide shows an example of how profit-oriented, medium-sized companies can approach the topic of artificial intelligence or, more generally, the challenges of digitalization.

Services offered

Expertise and comprehensive advice on possible uses of
AI technologies in your company including specific, application-related recommendations
as well as implementation of concrete applications.

1. Needs analysis

Identify your company's current challenges and needs with regard to automatable or optimized processes in which AI or ML (machine learning) can increase efficiency. Take into account your primary company goals (vision and mission), the real and realistic stakeholder needs (external and internal) and the competition. Analyze existing processes and procedures: Where there may be bottlenecks, inefficiencies or problems in the company that require optimization. Then prioritize all identified needs according to your business goals.

2. Feasibility study

In the next step, we will work together to determine the organizational, technical and financial feasibility of AI solutions in your company. This includes the assessment of the requiredsuch infrastructure, resources and costs. The central resource is the executing and participating employees (time budget, effort, ability, curiosity and openness to the topic). This is followed by technological, possibly regulatory and purely monetary considerations.

3. Identify business cases

We develop concrete use cases for AI in your company. These can be, for example, process automation, data analysis, customer communication or content creation. The more concrete and detailed these cases are developed and described, the more promising the result is. The basis for this  is a close collaboration and an open, substantive exchange between company-specific, subject-specific and AI/IT know-how.

4. Pilot projects

Start pilot projects to test AI solutions in selected areas of your company. This allows you to better evaluate the effectiveness and benefits of the technology before rolling it out on a larger scale. Take into account current technological developments and innovations that are relevant to your company. These can provide additional opportunities for improvement or growth and thus represent a competitive advantage.

5. Measurement of success

Using defined key performance indicators (KPIs), the impact on value creation in your company can be assessed. In addition,  Carrying out a cost-benefit analysis (CBA) - including a zero option - based on the KPIs is an important success measurement tool.

6. Scaling and integration

If the pilot projects are successful and deliver the desired results (“lessons learned”), the AI solutions will be scaled and integrated into your existing systems and processes. 

7. Further training and change management

For lasting success, create an environment in which your employees can accept the new technologies and use them effectively. Invest in training and change management to promote the acceptance of AI solutions within the company.

'Artificial Intelligence' in a corporate context 

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