Google Pixel Agentic Accelerator • Accelerating Creative Workflows and Fueling Cost Savings with Agentic AI

Launching a premier device demands a constant stream of photorealistic visuals, but traditional production pipelines are a major bottleneck. To break this stalemate of time versus quality, we engineered an agentic AI-powered production model that transforms campaign asset creation. We put this groundbreaking process to the test for a campaign featuring the Google Pixel, using a sophisticated AI tool stack—including Gemini, Veo, Vertex AI and Google Cloud Speech-to-Text—to build a streamlined, end-to-end campaign engine.

Our proprietary agentic workflow is designed to bypass the friction of traditional production. For the Pixel campaign, the process began by converting the phone's existing CAD files into studio-grade photorealistic images using advanced AI rendering. This single innovation eliminated the need for physical photoshoots, dramatically reducing production timelines and costs. From there, our agentic-enabled workflows integrated the client brief directly into the creative ideation process, establishing a comprehensive pipeline that managed everything from script writing and storyboarding to the generation of cinematic stills and video content.

Our workflow begins with a real-time brief assessment, ingesting brand guidelines, mood boards and tone of voice to inform the creative direction. After curating a knowledge base, the process dives into audience insights and personas to concept and refine the creative. This allows for continuous audience testing by constantly referencing target personas—a capability not easily achieved with standard rapid testing methods.

The process then transitions into full agentic layers: one agent generates scripts, while pre-built product LLMs produce cinematic stills and storyboards. Throughout this pipeline, our agentic framework interconnects various systems, including our own Monks.Flow, to ensure the highest possible craft. While the entire process can be fully automated, it includes built-in checkpoints for validation, allowing for client approvals as needed. This R&D-led, performance-based pipeline yields stunning, no-retouching-required outputs that prove the accelerated capabilities of AI.

The impact of this new model is significant. It delivers the assets for a more immersive and visually stunning promotion while optimizing resource allocation and dramatically accelerating campaign timelines. Once established, the pipeline enables content creation at scale, driven by an integrated approval process and a primary focus on creative validation. This approach extends beyond a handful of assets to a global reach; we can easily modify languages, transcreate content, and update pricing and supers to generate an entire AI Product Library or a Global Campaign Library in a matter of hours. By creating a self-contained, end-to-end process, this approach collapses the typical, multi-stage content funnel into a single, efficient ecosystem. The technology is also being tested for outdoor advertising with 4K feasibility and for its potential to create physical outputs.