Your path to AI in production: make or buy?
The decision whether to develop or buy software is a difficult and complex one. But you don't have to make this decision alone. Our guide will help you select the best option for you. Take advantage of our combined experience in numerous software projects with both the purchase and in-house development of software solutions.
Fill out the form to make the step towards your optimal make-or-buy decision
Make-or-buy: step by step to the decision
An important question for making management and strategic decisions: do I do it all in-house or do I buy in know-how or resources? The decision whether to make or buy is also a key factor in cost optimization.
This makes a thoroughly considered decision that takes all the key factors into account all the more important. This is exactly how our Make or Buy Guide helps you. Get your free guide now, including:
- important criteria for a make or buy decision in an industrial environment
- specific decision-making criteria for software and AI applications
- Special features and differences for OEMs and end users
Make-or-buy guide: tips and recommendations
The advantages and disadvantages of make-or-buy
In short: a solution developed in-house is time-consuming but flexible and adaptable. A purchased solution saves time and money, but may not be an exact fit for the company's requirements.
The most important decision criteria
All criteria such as time, costs, employees, know-how, scalability, training, etc. must be taken into account when deciding whether to develop in-house or outsource.
The special features of AI in industry
In addition to the criteria noted above, other factors also play a role in AI software. For example, quality, availability and protection of the data.
