Every organization is solving the AI governance puzzle differently, and marketing procurement is often caught in the middle of legal, IT, and marketing's competing priorities. This panel of practitioners shares how they've built (or are still building) governance structures that keep pace with AI adoption without slowing teams down. Come away with real examples of what's working, what isn't, and where ownership should sit 

• Expand risk criteria beyond data privacy to account for brand safety and over-reliance on AI outputs 
• Adapt governance structures to fit organizational scale, from lean fast-moving teams to larger cross-functional reviews 
• Balance build, buy, and license decisions as organizational pressures reshape how procurement resources AI capability 

Traditional input-based compensation models — retainers, labor multipliers, cost-plus — are becoming obsolete as AI agents automate tactical tasks and reshape how work gets done. This session explores what next-generation compensation frameworks could look like to balance transparency, efficiency, and performance incentives. 

• Identify which agency tasks AI is automating — and what that means for how you pay 
• Explore compensation frameworks that reward outcomes rather than inputs 
• Structure deals that protect advertiser value while giving agencies room to innovate