Developing an AI strategy
Do you want to develop an AI strategy for your company, but don’t know where to start?
We would be happy to support you. With our experienced team of AI and industry experts, we will help you to tackle the strategic artificial project correctly.
We identify the relevant application possibilities / use cases of AI for your company, analyze the structural and process organization and create a clear action plan on how you can implement the AI strategy.
Looking for an AI strategy?
The introduction of artificial intelligence without a clear AI strategy often leads to isolated and inefficient projects.
Companies face the same challenges:
- Which AI use cases bring real added value?
- How do we solve data silos and create a robust AI infrastructure?
- What skills and structures are needed to successfully scale AI?
- How do we meet regulatory requirements such as the EU AI Act?
We work with you to develop a holistic AI strategy – practical, implementation-oriented and future-proof.
We develop your AI strategy together.
Successful AI implementation requires more than just technological solutions – it requires a well thought-out AI strategy that combines technology, business processes and people.
Our AI strategy framework provides a clear structure to guide companies step by step through the AI transformation process.
It is based on four central pillars: AI strategy, use cases, target operating model and transformation. These elements ensure that companies identify the right AI use cases, create technological and organizational foundations and successfully integrate AI into their processes.
With this structured approach, we help companies not only to “use” AI, but also to benefit from it in the long term – with increased efficiency, innovation and competitive advantages.
1. AI strategy:
Basis for the successful use of AI
Without a clear AI strategy, the potential of AI often remains untapped.
Companies need to define what role AI should play in their business model and what goals they want to achieve with it.
We start with an AI readiness analysis and develop a customized AI vision that fits in with the corporate strategy.
A structured action plan ensures that AI projects do not remain isolated, but can be scaled efficiently.
2. AI use cases:
Relevant applications with real added value
Not every AI application brings benefits – the selection of the right use cases is crucial.
We help companies to identify and prioritize the best AI use cases. Through a systematic analysis, we evaluate the feasibility, business impact and scalability of the use cases.
This ensures that AI is used specifically where it brings the greatest benefit – be it for automating processes, customer interaction or decision-making.
A structured approach prevents bad investments and makes AI projects directly implementable.
3. target operating model:
AI structure & process organization
Successful AI implementation requires more than just technology – it requires clear structures, processes and governance. Our target operating model defines:
- Organization & responsibilities for effective AI management.
- Competencies & culture to build up AI expertise in the company.
- Technology & data strategy to use AI securely and scalably.
Only with a stable foundation can AI be successfully anchored in the company in the long term.
4th transformation:
From pilot projects to scaling
Many companies only use AI in pilots without making the step to scaling.
Our approach ensures that successful pilot projects are integrated into day-to-day business. This includes
- Gradual introduction with quick added value (“quick wins”).
- Scaling & integration into existing processes.
- Measurement & optimization to ensure sustainable success.
This transformation process makes AI an integral part of the corporate strategy – with measurable business added value.
We help you develop your AI strategy
A well-founded analysis forms the basis for a successful AI strategy. Without a clear structure, potential remains untapped.
Our AI strategy framework helps companies to identify specific use cases, optimize processes and scale AI sustainably – with measurable added value and a long-term competitive advantage.
FAQs on the AI strategy
Without a clear strategy, the potential of AI remains untapped. An AI strategy ensures that AI is used in a targeted, efficient and scalable manner – with measurable added value for the company. It combines technology, processes and people to create a sustainable, value-adding solution.
We help companies to systematically identify use cases and prioritize them according to business impact, feasibility and scalability. This means that only projects that offer real added value are implemented – be it through automation, better decisions or new business models.
Common challenges include a lack of target images, unclear use cases, isolated projects and a lack of data strategy. Regulatory requirements, internal resistance and a lack of AI expertise also make implementation more difficult. Our AI strategy framework helps to overcome these hurdles and establish AI in the company in the long term.
This depends on the size of the company and its level of maturity. The initial strategic foundations can be laid within a few weeks. The full integration of AI takes place step by step – with pilot projects, scaling and continuous optimization.
We support companies from AI strategy development and the identification of use cases through to implementation and scaling. Our results-oriented approach ensures that AI is not just tested, but used sustainably – for real competitive advantages.
