Advertisers everywhere are flocking to agentic solutions to help streamline their advertising operations. But relying solely on probabilistic LLMs to execute core AdOps tasks introduces unpredictability into workflows where even small mistakes can be incredibly expensive.  

Consider this: if you wouldn’t trust an AI agent to file your taxes without a human signing off first, why should you trust agents to manage millions in ad spend?

If you want to safely scale AI agents within your advertising operations, you need a deterministic governance layer that ensures execution remains aligned with your business strategies, brand guidelines, and strict budgeting limits.

In this AI Marketers Guild webinar from Marketecture, Fluency’s SVP of Product, Eric Picard, outlines a realistic, secure roadmap for introducing agentic automation into your advertising operations. Eric shares how Fluency bridges the gap between AI reasoning and rigid, platform-specific rules to protect both your brand and your budget.

Harleen Bhatti Dhanota, Manager of Fluency’s Solutions Engineering team, also shares a live demo of Fluency’s agentic automation solutions.

What you’ll learn:

• The limits of probabilistic AI in AdOps: Why LLMs introduce dangerous unpredictability to core AdOps tasks, and where they should be used instead.
• How to combine AI and automation for agentic AdOps at scale: Learn why a deterministic governance layer ensures agentic workflows remain compliant, on-brand, and aligned with your documented strategies.
• Using automation to translate AI reasoning into codified rules: See how Fluency’s operating-system-wide guardrails successfully bridge the gap between creative AI thinking and predictable, accurate multichannel AdOps task execution.
• Live agentic advertising demo: Watch a live setup and deployment of complex campaigns to see how Fluency Blueprints enforce enterprise-grade governance functions.
• Upskilling your paid media team for the agentic era: How to transition your AdOps team from tedious manual task work" to strategically managing rule-governed agents at enterprise scale.

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