How monday.com's AI agents generated millions of dollars in pipeline last quarter

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In 2026 alone, monday.com's AI agents handled tens of thousands of leads, booked thousands of meetings, and generated millions of dollars in pipeline. Demo request response times dropped from 24 hours to under 2 minutes. This is real AI GTM in production at a $1B+ ARR company.

I've been following AI GTM closely — I wrote a 60-page report on it earlier this year — but what doesn't get talked about is what happens when these plays collide with intricate routing logic, global rollouts, legacy tech stacks, and real compliance requirements.

Then I got connected to Oran Akron, the VP of AI for GTM at monday. Oran built monday’s RevOps org from zero to 80+ people over nearly 8 years. Last year he was tasked with creating an internal startup to rethink GTM workflows using AI agents (they call it RevAI). The scale here is wild: a publicly traded company growing 24% year-on-year with 1,000+ GTM employees.

I’ll show you three of monday’s most impactful AI GTM workflows, then unpack the messy work of building (and rebuilding) AI agents that work at enterprise scale.