Google AI Sprints
Client
Year
2025
Project
AI Workflow Design
Summary
How can AI redefine the speed of creative production? This project re-engineered conventional workflows by integrating custom AI agents into an agile sprint model. The result established a new benchmark for Google Search campaigns, streamlining everything from audience insights to asset launch.
Problem
Google wanted to push their AI-powered Search campaign development further and challenge their process and timings - ideally setting a new benchmark for future execution.
How can we change our ways of working to be more agile, more connected and more efficient while making the most our AI tools and agents?
How can we turnaround times from concept to asset launch for continuous, agile content production?
Approach
We crafted a more structured, phased approach to move faster, reduce wasted effort, and produce more relevant work.
Then we mapped out how this creative process should unfold. understanding its phases, how human stakeholders and AI Agents will collaborate and interact and the tools that needed to be build.
The ambition was to make full use of AI to be more efficient and redefine the way we work.
Process
We created a stack of custom AI agents that support our creative work along the campaign development process. We then defined the sprints inside the agile workflow and what the role of the agentic team would be.
Impact
Streamlined creative production workflows and review cycles
Integrated Creative & Media approach
Full use of custom-built AI Agents for Audience Insights, Use Case Exploration,Search Query Vetting and Ideation
Bringing selected creative concepts to life using Imagen 4, Nano Banana Pro, Veo 3, AI Studio & WPP Open Production Studio
Outcome
We developed Google Search campaign assets in a collaborative, interdisciplinary and AI-powered ideation and production process. Challenged and refined conventional workflows to set a new benchmark for future Search Campaigns.
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