Raiffeisen Bank International’s "A.I. Xmas 2025" is a fully AI-generated Christmas commercial developed in collaboration with RBI’s creative team, director Lea Baintner, and production partners PPMNEXT and Artefakt. The emotional brand film was produced without live-action footage, following a structured generative AI workflow from character development and styling to world-building and sequential scene generation.

While AI powered the core production process, traditional post-production tools were used for editing, sound design, and finishing. According to the team, the project demonstrates that high-quality AI filmmaking requires creative direction, iteration, and professional craft rather than simple prompt-based automation. Transparency, documentation, and legal clarity were integral parts of the workflow.

Designed for multi-market rollout, the campaign was built to allow efficient localization, format adaptations, and scalable variations. The full production, including revisions, was completed in under two months, positioning the project as a notable case study in AI-driven commercial filmmaking and hybrid production pipelines.

“Millas Depot” was produced as part of the Veo3 Challenge at the YouTube Festival 2025 and selected as the winning commercial for Sparkasse. The project demonstrates how generative AI can be embedded into a professional advertising workflow when creative direction, technical precision, and AI tooling are closely aligned.

The production centered on Google Veo3 for AI video generation. Already during the concept phase, AI-generated images were used to define visual tone, mood, and directing vision, providing clear references for the AI artists. The workflow also included an AI-based voice solution: a trained voice model adapted through voice-to-voice technology for the final narration.

The film was realized within approximately three weeks by a team of 18 creatives and technicians. Rather than presenting AI as a shortcut, the case underlines the importance of structured iteration, focused prompting, and disciplined workflow management in achieving consistent, high-quality results in AI-driven commercial filmmaking.

Patrick explains how the launch of ImmoScout24’s HeyImmo evolved into an AI-powered campaign built on rapid iteration, structured feedback loops, and disciplined production workflows. While generative AI enabled fast visualization and scalable content creation, core production elements such as casting decisions, character consistency, subtle performance, sound design, editing, and classic finishing remained decisive for overall quality.

The case outlines where AI was concretely integrated into the process, including image and video generation, music and sound, format adaptations, and localization for multiple markets. It also highlights how instant visualization reshaped creative collaboration and approval dynamics.

At the same time, governance topics such as usage rights, character ownership, and legal clarity became central to the production setup. What began as a prototype expanded into multiple cutdowns, print assets, key visuals, and localized campaign versions, demonstrating how AI can support scalable, multi-market commercial content production when embedded in a structured framework.