AdOps teams need an average of 76 hours to launch new accounts. Sound like your advertising operations?
The real challenges facing advertisers today are repetitive manual processes and disconnected systems. And yet, most advertisers know the future of advertising execution is AI-driven and automation-powered.
For some advertisers, this "future" is their current reality. AI and automation are already driving results for leading advertising agencies and enterprises, reducing the time spent on critical tasks by 60% across multiple AdOps workflows.
The window of opportunity to make the leap from fragmented manual workflows to tech-enabled scale is shrinking—fast. So how can your advertising team close the gap?
This session recording, straight from Advertising Week New York 2025, highlights how two enterprise-level advertising teams laid a strong foundation and successfully integrated AI and automation into their AdOps workflows. Taren King, Senior Product Manager of Ad Technology at Intuit ,and Anne Thiel, Senior Director of Advertising and Revenue at Cox Automotive, share the measurable outcomes they achieved using AI and automation in their advertising operations to drive scale and decouple headcount from growth.
Eric Mayhew (President and CPO at Fluency) and Heather Chevalley (SVP of Growth at Fluency) share their data-backed framework for how your company can achieve similar results. They explain how a Digital Advertising Operating System drives down the cost out of advertising execution, allowing your best staff to stop wasting time on manual tasks and focus on high-value strategic work. They also share practical advice on how to define your team's unique value proposition so AI-powered automation can configure and autonomously manage high-volume AdOps workflows.
Watch the full 30-minute panel discussion below to get the framework.
Looking for a focused perspective? Jump ahead to these parts in the session:
- 0:59 | The risks of manual AdOps: burnout and inhibited growth
- 3:32 | Laying the foundation: Aggregating data to a single system for efficient advertising operations
- 5:51 | "Why Can't It Just?" → Finding your automation opportunities
- 8:56 | How AI-powered automation enables scale
- 9:24 | Getting AI to understand using Retrieval-Augmented Generation (RAG)
- 10:27 | How to generate automated campaign performance reports for clients with an AI narrator
- 11:26 | AI agents in advertising: Using AI to operate your advertising software
- 13:23 | Intuit case study: Building a media network powered by automation
- 17:01 | Intuit's results: Reducing a six-point manual process to a single point of data input
- 20:17 | Cox Automotive case study: managing 10,000+ dealerships without bloating tech stacks
- 26:46 | Using AI reporting agents at Cox Automotive for client consistency and saved staff time
