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As AI agents take on more of the marketing workflow, the hard part is no longer producing output — it's knowing which recommendations to trust. In this hands-on lab, small groups will pressure-test realistic agent-generated campaign recommendations before they influence strategy or budget decisions, uncovering flawed evidence, overconfident forecasts, and unsupported assumptions.
From there, participants will build a practical review framework for their own team, defining which decisions AI can make independently, which need a quick human check, and which require leadership approval.
Attendees will leave with:
- A tiered review framework tailored to their team
- Clear escalation triggers for identifying questionable AI recommendations
- A decision-rights model they can put into practice right away
Joya Scarlata
Director of Marketing
InterraIT