Scaling AI Agents in Digital Advertising Operations: Cox Automotive’s People-First Agentic Strategy
How can advertisers adopt agentic AI and automation without leaving their people behind? In this video, Cox Automotive's Anne Thiel shares the leadership mindset required to scale agents while keeping advertising teams engaged.
Anne shares:
- The "order of operations" for successful agentic AI adoption in AdOps: How to sequence your agentic AI rollout so teams stay engaged, invested, and excited.
- The importance of goverance: Why a foundational governance layer is critical to successful agentic workflows
- Real-world use case: How Cox Automotive used an agent for audience monitoring to help a "team of one" find time for more strategic work.
Watch to see how Cox Automotive handles audience monitoring for brands like AutoTrader and Dealer.com using agentic AI.
Frequently Asked Questions about agentic AI strategies for advertisers
What is the first step in bringing agentic AI into an advertising agency?
The first step is ensuring your current AdOps processes are functional and documented. As Anne notes in this video, you cannot automate a broken process. You must make sure your AdOps processes work correctly with manual workflows before onboarding an AI agent.
How do AI agents help with advertising technical debt?
AI agents eliminate technical debt by performing incremental work (like audience monitoring) that teams want to do but often lack the time to execute.
Can advertising leaders adopt agentic AI while maintaining team morale?
Yes. Successfully adopting agentic AI in advertising requires leadership to prioritize people over technology. By building the right governance and culture, agencies can use AI agents to handle repetitive tasks so teams can focus on high-value strategy.


