Strategy & Transformation

AI only creates value at a high level of maturity, but most companies are just starting their journey.

Strategy & transformation

AI is a disruptive technology that affects all companies, regardless of their industry or size. Entire business sectors are already being extensively transformed by AI. Many companies have begun investing in data and AI initiatives, but few are realizing significant business value. Often, AI initiatives are not aligned with the company's overall strategy and it remains unclear how applying AI will add business value. There is a widespread lack of knowledge about what foundations are required for implementation and the order in which challenges should be addressed.

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Our approach: Mastering the AI transformation with a comprehensive AI strategy

To create value through the application of AI, your company should systematically reach a higher level of AI maturity. This will enable your company to remain competitive and to actively achieve competitive advantages through the application of AI. appliedAI offers you support in the AI transformation of your company: from the analysis of the competition to the definition of a suitable target for the application of AI. In doing so, we consider not only technical aspects but also organizational and personnel aspects and, thus, develop a holistic AI strategy.

We draw on our proven approaches, which we have already used to support many companies, among them EnBW and MTU Aero Engines, in their AI transformation. For this purpose, we have developed the appliedAI AI strategy house, which considers all relevant dimensions necessary for a successful AI transformation: starting with the AI ambition and the use case portfolio to the enabling factors such as the organizational design, expertise, data and technology, and execution competence.

Our approach: The AI Journey

In order to achieve value creation through Artificial Intelligence, your company must embark on a journey towards higher AI maturity. This will enable your company to gain a competitive advantage through the use of AI.

appliedAI systematically supports you in the AI transformation of your company: from developing a concrete transformation plan - the AI journey - to deriving a target image and providing support in organizational design. We rely on our well-proven approaches, which have helped companies such as EnBW and MTU in their AI transformation.

Our offers

AI maturity assessment and identification of required actions

Our systematic support in your company's AI transformation includes an evaluation of the status quo as well as the derivation of an action plan for the implementation of the AI strategy.
  • Assessment of the current AI maturity level of your company

  • Systematic and targeted identification of improvement potentials along the dimensions of our proven and successfully applied AI Strategy House

  • Definition of a one-year action plan based on the individual results of your AI maturity assessment

From our many years of experience and collaboration with more than 200 companies, we recommend analyzing the AI maturity level in tandem with developing an AI ambition to make your AI transformation most effective and targeted.

Development of an AI ambition

We help you develop an AI ambition that is aligned with your company's overall strategy and serves as a target for managing your company-wide AI activities.
  • Definition of an AI ambition that is understandable and tangible for all stakeholders and extends across all departments

  • Alignment of the external market perspective with the internal perspective to derive the future potential for your company

  • Embedding and alignment of the AI ambition with the overall strategy

Development of the AI operating model

We support you in establishing a suitable and efficient organizational structure for implementing and scaling AI in your company.

  • Definition of a central AI competence center for the systematic and standardized identification, prioritization, and implementation of AI use cases, incl. required role profiles
  • Definition of central and decentralized responsibilities
  • Development of a framework for AI responsibilities (AI governance) over the entire lifecycle of machine learning processes as well as procedures for financing and distributing budgets
  • Establishing a resource concept for the successful implementation of AI use cases by allocating existing or defining additional human resources (including sharing concepts)
  • Development of internal training and further education measures in the area of AI