Make or buy in the age of agentic AI software development

Webinar: Make or buy in the age of agentic AI software development

How is the make-or-buy decision changing?

For decades, a simple rule applied: buy standard software, because in-house development is too expensive, too slow and too risky. Individual customizations were accepted – and paid for through licenses, maintenance and vendor lock-in.

Agentic software development overturns this basic assumption. When AI agents generate code reproducibly from a clean specification, the cost of writing code collapses – and the bottleneck moves from code to specification. Make becomes economical again where differentiating processes are concerned, while buy keeps its justification for commodity functions.

In this webinar we show how the make-or-buy logic is concretely shifting: which cost blocks change, where standard software remains the right answer, and why the decision will in future be made before the investment, on a running prototype – not after acceptance, in the change request. We don't gloss over the limits: security of generated code, maintainability, copyright and open-source risks belong on the table just as much as the opportunities.

You will learn which questions to ask yourself before your next investment decision, what a robust proof looks like within a few weeks, and what this means for the role of your IT and your existing team.

Target audience: CIOs, CFOs, IT and business unit leaders in industrial companies facing investment decisions on standard or custom software.