Innovation mit KI: Kaufen oder selber machen?

Developing a successful AI product is a complex undertaking. Especially when you're tackling your first AI initiative, a justified question arises: "Should we do this ourselves or is it better to purchase the necessary expertise?  This article provides you with an overview of the advantages and disadvantages of different implementation strategies.

In-House Development

For complete in-house development, you need to assemble an internal team that combines all competencies required for developing successful AI products. Particularly with your first AI product, you should allow sufficient time to find suitable personnel and align them thematically. For implementing more demanding AI projects, personnel costs can easily reach six figures. In-house development therefore typically means high costs and, at least for your first project, comparatively slow progress. This approach makes sense if you pursue a long-term AI strategy and want to be independent from day one.

Development Service Providers

If you cannot or prefer not to implement all work with internal resources, you can rely on external development service providers. Established service providers specialize in rapidly implementing complex development projects, increasingly in the AI field as well. In addition to software service providers typically focused on economic aspects, some research-intensive institutions also offer services in the AI development competency field. Cost-wise, the leverage compared to the "in-house development" option may not be particularly large, but you should expect a significant speed advantage. However, those who wish to avoid dependency in case of success will not be able to avoid building up their own personnel resources in parallel.

Startups

There are numerous young companies that focus on AI development for various applications, particularly in the fields of production and mechanical engineering. Many of these startups have their origins in research institutions and therefore bring correspondingly deep technical expertise. Not only for AI, but also for the environment in which the AI is deployed. At the same time, startups face significant pressure to succeed and therefore understand the importance of the shortest possible time-to-market. This can go so far that the prospect of rapid joint successes translates into exceptionally fair pricing. If you find a startup whose thematic focus and working methods align with your needs, you have the chance to land "the best of development service providers."

Conclusion

Regardless of the implementation strategy you choose, the success of your AI project requires the right competencies and a proven methodology. To find the right implementation strategy, you should carefully prioritize your preferences regarding costs, speed, and independence, and then assess your options accordingly. If you cannot reach a clear decision or need further information, please feel free to reach out to us. We will listen to you and help you move forward.