You Can’t Automate Chaos: GTM Infrastructure for the AI Era

AI won’t save your GTM org from bad processes, broken data, or the duct-taped workflows you’ve been “meaning to fix.” Before you dive headfirst into automation dreams and AI-powered everything, it’s time for a reality check: what’s your foundation made of?

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In this session, we’re sitting down with Charanyan Venkataraghavan, Co-Founder at RevenueHero, and Patrick Spychalski, Co-Founder at The Kiln, to cut through the hype and get real about what it actually takes to build an AI-ready GTM engine - starting with the ops infrastructure that makes the magic possible. We’ll unpack:

• Real-world workflows that are worth engineering into your GTM
• Common AI implementation pitfalls (and how to avoid building on top of chaos)
• The unsexy but critical ops fundamentals that separate vaporware from value

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If you’re serious about using AI to drive efficiency, alignment, and scale - start here. Because automation without infrastructure? That’s just chaos at scale . . . and nobody wants that.

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