AI-Strategy (2025)
Robert Schmuck
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Robert Schmuck
Head of Development

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The integration of artificial intelligence (AI) will play an important role for many companies in 2025. With a smart strategy, your company can make targeted use of AI to optimise processes, secure competitive advantages and achieve sustainable success.

Why do companies need an AI strategy?

Many companies face similar challenges when it comes to establishing AI technologies. Do any of these points apply to you?

  • Unclear objectives: What problems should AI actually solve? Without a clear vision, projects come to nothing.
  • Lack of data quality: Data is the basis of every AI application. However, data is often incomplete, unstructured or difficult to access.
  • Increased efficiency and automation: An AI strategy helps to automate repeatable tasks and increase efficiency at the same time.
  • Lack of resources: Not every company has the internal expertise or the necessary capacity to successfully implement AI projects.
  • Technology hype: Focussing on short-term trends such as text or image generation often distracts from strategically important projects.

Zitat von Robert zum Thema KI-Strategie, Englisch

KI verstehen und richtig einsetzen

Before your company can fully exploit the benefits of AI, a comprehensive understanding of your own organisation and processes is essential. Without a foundation, it is difficult to successfully integrate AI and achieve sustainable results. Here are four things organisations should consider:

1. company structure

The type of company structure has a decisive influence on the introduction of new technologies such as AI. Understanding your own structure helps to recognise potential obstacles early on and develop strategies to overcome them.

2 IT infrastructure

The IT infrastructure creates the technological basis for AI applications. It should be carefully scrutinised and adapted to ensure scalability, security and performance.

3. cross-departmental collaboration

AI projects require close collaboration between different departments. Are sales, marketing, IT and other departments already well connected? Effective communication and collaboration are essential in order to harmonise data, expertise and objectives and to implement AI solutions in the best possible way.

4. definition of goals and areas of application

AI should be used specifically where it offers the greatest added value. You should differentiate between the following AI goals.

  • Short-term goals: e.g. improving customer satisfaction or automating manual processes.
  • Long-term goals: e.g. market expansion or the development of data-driven decision-making processes.

KI-Einsatz erfolgreich planen

Should AI be integrated into existing systems such as ERP or CRM, or do you need new applications? Implementing an AI strategy brings even more challenges: data silos make access difficult and require centralised management, employees may be sceptical about AI, which makes clear and open communication necessary, and requirements such as data protection must be taken into account from the outset.

In our workshops, we analyse your current processes, data and challenges, identify AI potential and prioritise projects according to benefits and feasibility. We prepare your company comprehensively for the use of AI, clarify technical and legal issues and create a clear roadmap for the next steps. As your partner, we are at your side every step of the way – from analysis to implementation.

What we do together in several AI workshops:

Create project planning and timeline

  • Creation: Detailed project plan and clearly defined time frame
  • Goal: Transparent milestones and a structured approach

Analysing data and identifying AI potential

  • Analyse and evaluate existing data
  • Identify data owners and access rights
  • Uncovering data gaps and quality problems

Evaluate existing AI tools and opportunities

  • Analysing current AI tools and ongoing projects
  • Use of brainstorming techniques to generate ideas
  • Prioritisation and evaluation according to benefits and feasibility

Plan pilot projects in detail

  • Develop a clear plan for selected pilot projects
  • Defining cost frameworks and responsibilities

Ensure ethics and responsibility

  • Review ethical principles and data protection guidelines
  • Develop guidelines for the responsible use of AI

Next steps: From AI strategy to customised AI solution

Presentation of the analysis results and developed strategies
Concrete definition of the next steps and roadmap for implementation

Together we analyse your challenges, identify opportunities and develop an individual AI strategy for your company. Based on this AI strategy, we develop and implement the appropriate AI technology in your company in a targeted manner.

We accompany you step by step – from conception to successful implementation. Start now and lay the foundation for your AI future! Give us a call or fill out the contact form directly. We look forward to your vision!

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Sofia Steninger
Solution Sales Manager