“AI pays off when we redesign the process, not just automate it”: Opus’ DACH lead Xenia Schmahl (Sponsored)

Opus, an AI transformation platform, offers a solution for enterprises seeking to scale AI across their workflows and systems. Founded in 2021, Opus begins by analyzing the current process and redesigning it for AI integration. This approach allows AI to scale in daily operations while maintaining traceability and governance. Companies can monitor every decision made by AI agents or humans, creating a digital twin of their processes.

The platform is particularly valuable for regulated industries like insurance and healthcare, where strict rules make reliable and traceable AI especially important. 2026 is seen as the right time for European enterprises to move AI from pilots to production. DACH, a demanding yet promising market, offers numerous opportunities for Opus.

Strict regulations, data localization requirements, and a focus on governance make this market ideal for Opus. Three main reasons prevent European companies from scaling AI beyond pilots include built assumptions, delayed integration and governance, and the lack of a clear target and measurement. Good starting points for AI implementation include high-volume, repetitive tasks, processes spanning multiple systems, and processes involving numerous documents and exceptions.

Companies should choose AI implementation processes that create a clear return on investment (ROI), rather than simply automating tasks. Measuring AI-driven automation success goes beyond cost savings. Five key measures include capacity, quality, exceptions, cycle time, and auditability. In regulated sectors like insurance and healthcare, governance can become a competitive advantage when built into AI systems from the start.

This ensures AI operates within clear limits, humans approve critical steps, all actions are logged, and sensitive data remains within the company's environment.