AI is moving beyond prompts and productivity hacks into something far more powerful: autonomous agents that can analyse data, generate insight, support execution, and continuously optimise GTM workflows. In this session, we’ll explore how PMMs can practically deploy AI agents as copilots across competitive intelligence, win/loss analysis, messaging development, enablement, and launch execution. Rather than replacing strategy, AI agents augment it — helping PMMs scale impact, increase speed, and build a more repeatable GTM engine. Key learnings: - Where AI agents can create the most leverage across the GTM lifecycle — from insight gathering to execution - Practical examples of deploying agents for CI, messaging iteration, enablement support, and performance analysis - How to integrate AI agents into existing workflows responsibly and strategically to scale without losing control or quality