Debra Estrada: AI Is Everywhere in RevOps. But Should It Be?

Everyone wants AI in their go-to-market strategy. But not every use of AI is making your revenue organization better.

In this episode of the Go-To-Market Podcast, Amy Osmond Cook, CMO and co-founder of Fullcast, sits down with global Revenue Operations expert and advisor Debra Estrada for a candid conversation about predictability, pipeline, data governance, AI, and the evolving role of RevOps.

Debra brings a particularly valuable perspective to the conversation. With a background in sales and extensive experience across Revenue Operations, she understands what happens when strategy, data, technology, and the day-to-day realities of sellers collide.

Her philosophy comes down to one goal every revenue leader is chasing right now: Predictability.

How do you create predictable revenue when budgets are tighter, buying cycles are changing, attribution is complicated, and sales and marketing are competing for the same resources?

For Debra, the answer begins with breaking down silos.

Sales, marketing, customer success, finance, and RevOps need a shared view of how revenue is actually created. And increasingly, AI is becoming part of that equation. But Debra offers an important warning: AI can amplify a great revenue operation. It can also amplify a bad one.

In This Episode, You'll Learn: Why predictability has become one of RevOps' most important objectives

How Debra's sales background shaped her approach to Revenue Operations

Why sales, marketing, and other GTM functions can't afford to operate in silos

How multi-touch attribution changes the conversation around marketing and sales performance

Where AI is delivering meaningful productivity gains in RevOps