Jeff Ignacio

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I’ve been spending a lot of time looking at how AI agents actually change the math of a GTM team. Most people are focused on the "how." I’m focused on the "how much." 👇

In the old world, scaling revenue meant scaling headcount. It was a linear relationship. You wanted more pipeline? You hired more SDRs. You wanted more coverage? You hired more AEs.

Agents break that linear tie. We are moving from a world of "labor-intensive" operations to "capital-intensive" infrastructure.

𝗧𝗶𝗲𝗿 𝟭: 𝗧𝗵𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗼𝗻

This is your basic "if-then" logic on steroids. It handles the routing, the tagging, and the data hygiene that used to eat 20% of your Ops manager's week. It doesn't "think," it just executes perfectly at scale.

𝗧𝗶𝗲𝗿 𝟮: 𝗧𝗵𝗲 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗼𝗿

This agent sits next to the human. It’s the one pulling the 10-K, summarizing the last three Gong calls, and drafting the "point of view" email. The human still hits send, but the prep time goes from 30 minutes to 30 seconds.

𝗧𝗶𝗲𝗿 𝟯: 𝗧𝗵𝗲 𝗔𝘂𝘁ｏ𝗻𝗼𝗺𝗼𝘂𝘀 𝗢𝗽𝗲𝗿𝗮𝘁𝗼𝗿

This is Path 2. The agent identifies the gap—like a drop in lead velocity in the EMEA territory—and suggests the recalibration before the VP of Sales even opens the dashboard. It’s moving from reporting on the past to predicting the intervention.

Are you building a bigger team, or are you building a more powerful engine?

One leads to a higher headcount. The other leads to a higher ceiling.

Go forth and operate 👋

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