Designing an AI Plan for Ad Operations: What To Use, Where & How

It’s no secret that many agencies are still experimenting with AI. Few have a clear plan for how it should support ad execution – including campaign management, budgeting, launches, optimization, and performance analysis.

This session outlines how agency leaders should think about AI specifically for executing advertising programs. We’ll examine how agencies can best assess AI technologies so that they can design a comprehensive AI strategy , and where AI delivers the most value inside core AdOps workflows. We’ll also clarify the difference between AI and automation – and how the two should work together without creating operational complexity. The goal is to transition from risky experimentation to controlled and repeatable impact.

In this session, you will learn how to:

• Which ad execution workflows benefit most from AI today, along with practical use cases
• How to evaluate AI tools for advertising operations, beyond surface-level capabilities
• The difference between AI and automation, and how to use each effectively
• Examples of how agencies are embedding AI into AdOps workflows without increasing risk or inefficiency

Training Materials

Following the session, those who attend will receive one week of recording access.

Who Should Attend

This session is designed for leaders in account/project management, digital, media, IT, and back-end operations. The training will apply to those involved in orchestrating client marketing projects – including budgeting, launches, campaign management, performance analysis, and optimization.