How long does a typical AI project take?

The duration of an AI project depends heavily on how complex the underlying challenge is, how custom the solution needs to be, and whether established technologies and existing building blocks can be used. Clearly scoped problems can be implemented much faster than projects that reach deep into existing processes, data, and structures.

• When building on existing AI solutions — such as our AI platform Galilea — first AI projects can be realized within days.
• For custom-built AI systems, a first deployable AI pilot is typically possible within a few weeks, allowing use cases to be tested and evaluated early.
• A comprehensive, production-ready version of a custom AI system is often delivered within a clearly structured 3-month sprint — for example through our 100-Day MVP format.
• Larger and more complex AI systems with deep integration into existing processes, databases, interfaces, and infrastructure, as well as high requirements for scalability and operations, can take up to a year of development time.