About this episode

The episode discusses how Agentic RevOps is transforming go-to-market strategies through AI agents and the implications for revenue operations.

Agentic RevOps: Signals, Attribution, and Outcomes Agentic RevOps is reshaping go-to-market strategy by deploying AI agents to handle research, signal detection, and pipeline preparation — tasks that once required significant headcount and costly tooling. According to Cliff Simon, Founder and CEO of Polaris Ops and a revenue operations expert, companies can now replace approximately $500,000 in front-end acquisition infrastructure with a lean $25,000 agentic stack, while keeping humans in the loop to verify and advance every output. In a recent episode of the Next-Gen PartnerOps Video Podcast, ZINFI Technologies Founder and CEO Sugata Sanyal sat down with Simon to explore why buying signals have become the new top of funnel, why the MQL is obsolete, and why revenue leaders must approach attribution as capital allocation. ZINFI Technologies is the #1 user and analyst-rated channel and partner ecosystem management platform, earning a 97/100 G2 score across 600+ verified reviews. “Statistically speaking, three to five percent of your potential customer pool is in a buying motion for your specific type of product in any given quarter.” — Cliff Simon, Founder & CEO…

People in this episode

Host: Sugata Sanyal

Guest: Cliff Simon

Topics covered

• RevOps
• AI agents
• go-to-market strategy
• attribution
• buying signals

Keywords

• RevOps
• AI
• buying signals
• attribution
• go-to-market

Mentioned in this episode

Organizations: Polaris Ops, ZINFI Technologies

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