Companies s are often faced with the decision of whether to implement GenAI projects internally or outsource them to external service providers. This question is becoming increasingly important in view of the rapid developments in the field of generative artificial intelligence (GenAI). To make this decision easier, there are a number of criteria that help companies to systematically classify projects.
Which projects to implement and how
The strategic value of an AI project depends on the extent to which it supports the company’s business model and overall strategy. It is therefore important to carefully consider which AI projects should be assigned internally and which externally.
General questions and technical requirements, such as data protection requirements or access to technical infrastructure, need to be clarified. It is also important to consider whether an external service provider can implement the AI project faster and to a higher standard. The urgency of the project is also crucial here.
However, not all AI projects are suitable for external procurement. Some projects offer strategic advantages if they are carried out internally. This decision depends on various factors that should be systematically evaluated. First and foremost, it is important to clarify whether sufficient resources are available within the company to carry out AI projects and provide long-term support.
Internal versus external
For a better overview and faster decision-making, AI projects can be divided into different categories:
- Internal projects: A distinction must be made here between projects with low strategic value, which should be handled internally or put on hold, and important in-house projects with high strategic added value. The latter are often crucial for the core business and require in-depth internal expertise.
- Internal training projects: Projects with medium strategic value are suitable for internal implementation if they pursue the goal of building knowledge and skills in the field of AI. In this way, companies can use their resources efficiently through practical training and benefit in the long term from know-how built up internally.
- Hybrid projects: Suitable for all projects that achieve high strategic added value in the medium term. The outsourcing to external service providers serves to accelerate the AI project, while internal resources with the necessary knowledge are built up.
- External projects: All AI projects that create added value for the company in the short term are suitable for external awarding. The development of internal knowledge can be neglected.
By carefully evaluating strategic values and internal resources, companies can make informed decisions about which AI projects should be implemented internally and which externally. This not only contributes to the efficient use of resources, but also strengthens long-term competitiveness.
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