AI-Native Enterprise Platforms: Interpreting Logic, Not Compiling Code

Digital transformation demands applications that can evolve as fast as business logic changes - yet current tools still force compromises. Off-the-shelf solutions are rigid, low-code platforms hide their logic, process automation tools lack full application scope, and custom development sacrifices speed.

I will introduce the concept of the AI-native, model-driven enterprise platforms, where applications are interpreted rather than compiled, making them instantly adaptable, transparent, and human-readable. Using object-centric processes as a unified model for data, workflow, and UI, the platform enables AI to reason over the full application context - not just code fragments.

I will demonstrate how this approach combines human language, runtime interpretation, and model-driven governance to create applications that are adaptive, explainable, and composable. The result is a new generation of enterprise systems that merge automation and intelligence - bridging the gap between code generation and real digital transformation.