Checklist: 7 steps to your AI strategy (2025)

Checklist: 7 steps to your AI strategy (2025)
Patrick Büchler
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Patrick Büchler
CEO, Partner

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Are you wondering where to start with your AI strategy? Do you have the feeling that you lack the necessary expertise or strategy to successfully integrate AI into your company? Don’t worry – this is exactly where we come in. Here is your personal checklist. Do you need help with implementation? Get in touch with us!

Checkliste: Ist Dein Unternehmen bereit für KI?

1. lay the foundations

  • Define corporate goals: Establish clear goals that are to be supported by AI (e.g. cost reduction, increased efficiency, new business models).
  • Budget planning: Provide funds for AI initiatives, infrastructure and training.
  • Involve stakeholders: Involve internal and external stakeholders at an early stage.

2. employees and expertise

  • Promote further training: Prepare employees for working with AI solutions.
  • Promote internal collaboration: Intensify cross-departmental collaboration.
  • Get experts on board: Build up internal AI experts or bring in external specialists -> This is where we come in!

3. organisation and structures

  • Analyse existing processes: Identify which processes can be optimised using AI.
  • Develop a data strategy: Evaluate data sources, quality and storage.
  • Define responsibilities: Set up AI managers and teams.
  • Plan change management: develop strategies to promote the acceptance of AI in the company.

4. technology and infrastructure

  • Check IT infrastructure: Ensure that the existing infrastructure is suitable for AI applications (e.g. cloud, hardware).
  • Establish data platform: Set up databases, data warehouses or data lakes.
  • Ensure integration: Connect existing systems and new AI solutions.

5. select AI solutions

  • Define areas of application: Identify potential areas of application such as automation, customer analysis or predictive modelling.
  • Evaluate tools and providers: Decide between ready-made AI solutions and customised development.
  • Develop prototypes: Launch pilot projects to test the benefits and feasibility.

6. Legal and ethical aspects

  • Ensure compliance: Comply with data protection and security requirements.
  • Define ethical principles: Formulate guidelines for the responsible use of AI.
  • Assess risks: analyse and minimise potential dangers (e.g. discrimination, wrong decisions).

7. Measurement and optimisation

  • Determine success criteria: Define KPIs (e.g. productivity increase, sales growth).
  • Monitor results: Regularly review the progress of AI implementation.
  • Iterative approach: Continuously adapt and optimise projects.

Are you missing a partner for your AI strategy?

Creating and implementing a well-thought-out AI strategy can be complex – especially if the necessary expertise is not available internally. We support your company at every step of this checklist and accompany you from analysis to implementation. Our approach is clear, focussed and practical – far removed from the AI hype.

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