

AI Avatar Video Series
Where vision meets execution
- Challenge
Every year, SAP produces hundreds of videos across regions and business units, each designed to serve different marketing and product goals. While the output was strong, Studio SAP was looking for a more efficient path to produce and manage these assets at scale.
They saw an opportunity to streamline production, increase consistency, and accelerate timelines by exploring new technologies. AI emerged as a promising accelerator. A way to modernize video production with greater speed, scalability, and cost-efficiency while maintaining SAP’s global brand standards.
- Approach
Studio SAP partnered with Intercept Labs to explore the potential of AI-powered avatars to reinvent the video production process.
These studio-quality avatars are photorealistic, customizable, and capable of delivering scripted content in over 140 languages. More importantly, they eliminate the need for full production crews. No actors, sound engineers, lighting setups, and reshoots. If a line needs fixing, it’s just a quick edit.
For a global brand like SAP, that ability to scale personalized video content across markets in real time represented a massive advantage.
Once the pilot solution was in place, the next challenge was adoption. We worked with Studio SAP to develop a structured production framework that would make it easy for internal teams to engage in the pilot.
We co-developed a detailed playbook to explain the vision, workflow, and quality standards. To streamline participation, we introduced an input submission form so teams could easily outline their video needs. And to ensure transparency across a high-visibility pilot, we created a centralized status tracker that kept all stakeholders informed and aligned.
- Outcome
This co-invested pilot marked an early-stage exploration into AI-powered content formats. SAP and Intercept partnered through Intercept Labs to test how AI avatars could improve speed, consistency, and scalability in video production.
Compared to traditional production methods, the first batch of videos was completed 23% faster and at 55% lower cost. These early results validated the potential of AI in enterprise marketing workflows.