Procedure for the evaluation and selection of a sourcing strategy for AI competence in SMEs

The objective of the VoBAKI research project is to enable SMEs to independently identify the processes and necessary competencies in the lifecycle of an AI use case and to derive the sourcing strategies that are suitable for them.

Initial situation

The life cycle of an AI application comprises various processes and activities from data collection and model development to the adaptation of an application to a changed data situation. From these activities, different AI-specific competencies can be derived for their successful management. These AI-specific competencies are not available in many SMEs.

Solution approach

First, the objectives of SMEs with regard to the use of AI applications are elaborated. Then, the relevant processes in the life cycle of an AI application and activities as well as competencies are identified. Subsequently, the activities are assigned to different AI roles. Potential sourcing strategies are described and evaluated in terms of their practical relevance. Subsequently, operational requirements that influence the selection decision are identified for each SME-relevant sourcing strategy. In a further step, the different sourcing strategies and their design alternatives are evaluated with regard to their contribution to achieving the operational objectives. The results of the project will be combined in a procedure for evaluating and selecting the appropriate sourcing strategy and made applicable through supplementary transfer media (e.g. business game, explanatory videos).

Expected result

AI role profiles as well as a procedure for evaluating and selecting a proper sourcing strategy for implementing AI use cases in SMEs.

Benefits for the target group

The project provides a method that simplifies the structuring of an AI project and thus reduces the barrier to entry into the new technology.

Topic Area

  • Information Management

Research Focus

  • Informationslogistik

FIR Navigator

  • AI and Data Science
  • Transformation Management
  • Projectinfos

    Funding no.
    22009 N
    Funding information

    The IGF project 22009 N of the Research Association FIR e. V. at the RWTH Aachen University is funded via the AiF within the framework of the programme for the funding of cooperative industrial research (IGF) by the Federal Ministry for Economic Affairs and Climate Action (BMWK) on the basis of a resolution of the German Bundestag.