Many teams today use AI tools alongside Polarion - resulting in copy-paste processes, media disruptions, and a lack of traceability.

However, the true value of modern language models only unfolds when they are structurally integrated into existing systems: versionable, traceable, and compliant with established processes.

With avaCoPilot, we demonstrate how Large Language Models can be modularly and flexibly embedded directly into Polarion: as an integration layer, not as a black-box feature.

In this webinar, we will cover:

• How our architecture enables a clean, modular LLM integration within Polarion
• Concrete use cases from everyday Polarion practice
• A live demo of the functionalities
• Our AI roadmap for 2026

Our guiding principle: maximum flexibility and control.

No black box, no rigid features, no isolated AI gimmicks — but an integration layer that adapts to existing processes, not the other way around.

This webinar is intended for everyone working with Polarion who wants to understand how generated content can be created, processed, and versioned directly within the system - systemically integrated instead of manually transferred.

Anyone looking to strategically evolve their Polarion environment should now consider how LLMs can not only assist, but structurally reduce workload.