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 for security, specialization, and integration into existing systems, 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:

• Recognize and respond to Client negotiation tactics: spot marketing and procurement’s most common approaches.

• Overcome the toughest objections with confidence: use clear, practical methods and language to defend your position with respect to contracts and compensation.

• Pre-empt Challenges before and as they surface, shifting discussions to focus on value, not cost.

• Equip new business, account/project leads, and senior executives with practical tool — frameworks and methods you can begin to use right away.

• Learn how to begin deploying outcome-, solutions-, and value-based compensation arrangements. 

Training Materials

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

Who Should Attend

This session is designed for those client-facing account and project managers, and back-end operations team members who are involved in orchestrating client marketing projects – including budgeting, launches, campaign management, performance analysis, and optimization.