Go To Market

Dr. Jeremy Weisz: He Interviewed an AI Clone Instead of the Real CEO. Which Was More Believable?

What happens to sales and marketing when AI can clone your voice, write your emails, and interview your prospects before you ever pick up the phone? In this episode of the Go-To-Market Podcast, host Amy Osmond Cook, CMO and co-founder of Fullcast, sits down with Dr. Jeremy Weisz, co-founder of Rise25 and host of the Inspired Insider podcast, to dig into a question every revenue leader needs to answer right now: In a world flooded with AI-generated content, how do you build the kind of trust that actually closes deals? Jeremy has been building relationships through podcasting since 2007 — long before it was a mainstream marketing strategy — and he's turned that obsession into Rise25, a done-for-you B2B podcast agency that helps companies connect with their Dream 200 clients, referral partners, and strategic alliances. His framework is a systematic, relationship-first revenue engine, and in this conversation, he shares exactly how it works. In this episode, you'll learn: * Jeremy's "Columns of Giving" framework and why it outperforms traditional sales pipelines * Why authentic relationships will become even MORE valuable as AI-generated content floods every channel * How to use AI tools like Whisper Flow, Gemini, Delphi, and Suno to deepen — not replace — human connection * The right (and wrong) ways to use AI in your content and outreach strategy without eroding trust * Why Jeremy told an SEO company CEO point-blank: "You should not host a podcast" — and what he should do instead * The honest truth about whether AI is actually making us more productive or just raising the bar for output Whether you're building a B2B pipeline, scaling content, or trying to figure out where authentic human connection fits in your go-to-market motion, this conversation will sharpen your thinking.

Sreedhar Peddineni: AI Won't Replace GTM Teams — But It Will Replace Weak Ones

What happens when one of the original architects of Customer Success turns his attention toward the future of AI-powered revenue activation? In this episode of the Go-To-Market Podcast, host Amy Osmond Cook sits down with Sreedhar Peddineni for a fascinating conversation about the evolution of SaaS, the birth of Customer Success, the rise of AI-powered enablement, and why the next generation of software companies must move beyond simple LLM wrappers to deliver real business outcomes. Sreedhar shares the inside story behind founding Host Analytics during the earliest days of SaaS, helping launch Gainsight before most companies even had a Customer Success department, and building GTM Buddy to solve one of the most overlooked challenges in modern revenue organizations: helping sellers find the right answers, content, and context at exactly the right moment. This conversation goes deep into: * Why most AI conversations are stuck between "fear" and "hype" * The dangerous gap between AI adoption and AI understanding * How semantic AI and ontology-driven systems are reshaping enablement * Why "revenue activation" is replacing traditional revenue enablement * The future of software valuations in an AI-first world * Why human workflows still matter, even as AI accelerates everything * How power users of AI will dramatically outperform everyone else Sreedhar also offers a grounded perspective on hallucinations, AI skills frameworks, co-working agents, and why businesses that fail to integrate AI into everyday workflows risk falling dramatically behind. If you care about RevOps, GTM strategy, Customer Success, AI enablement, sales technology, or the future of SaaS, this is an episode you do not want to miss.

Mike Sitter: What Boards Want From RevOps That Most Teams Never Deliver

In this episode of Go-To-Market with Amy Osmond Cook, Amy sits down with Mike Sitter, Vice President of Revenue Operations at AssetWatch, to discuss what separates tactical sales support from true Revenue Operations leadership. With two decades in revenue operations and deep SaaS operating experience, Mike believes RevOps exists to make revenue predictable, repeatable, and efficient. And when it works, it's nearly invisible. That may sound simple, but it isn't. Because behind every high-performing revenue engine is a system of strategic choices around planning, capacity, forecasting, alignment, and operating discipline that most organizations don't get right. Mike breaks down why elite RevOps leaders start "outside in"—not with dashboards or territories, but with investor priorities, board expectations, and what's actually happening in the field with customers. One of the most compelling themes in this episode is that great RevOps leaders don't just optimize systems. They act as strategic advisors to the business. In this episode, you'll learn: * Why predictable revenue is built, not hoped for * What Mike means when he says great RevOps should be "invisible" * How investor priorities should shape GTM execution * Why growth-vs-profitability strategy changes everything in RevOps planning * How to balance tactical execution with long-range revenue design * Why some RevOps teams stay reactive while others become strategic growth partners * The reporting structures that can elevate (or constrain) RevOps influence * How forward-looking capacity planning strengthens the revenue engine Mike also shares practical insights for RevOps practitioners trying to rise above ticket-taking and become true operators—advisors who influence outcomes, not just report on them. If you think RevOps is about dashboards and process workflows, this episode may completely change your perspective.

Lincoln Haycock: AI Won't Save Healthcare Until This One Problem Is Fixed

Did you know consumers are often making high-stakes healthcare decisions without knowing the cost upfront? This episode explores why that's still the case and what needs to change. In this episode of the Go-To-Market Podcast, host Amy Osmond Cook sits down with Lincoln Haycock to discuss one of the most frustrating—and expensive—systems in the world: American healthcare. The U.S. spends nearly 18% of GDP on healthcare yet outcomes remain inconsistent, and life expectancy hasn't improved at the pace you'd expect. Why? Because data is siloed, pricing is opaque, incentives reward volume—not outcomes, and patients are left navigating complexity without visibility. As Lincoln explains, we're dealing with a system design problem. Together, he and Amy explore why a lack of coordination across providers, payers, and systems prevents patients from receiving true value—despite rising costs. If you've ever wondered why healthcare feels so complex and what it will actually take to fix it, this episode delivers a fresh perspective. Watch now to understand what's broken, what's changing, and how leaders across industries can apply these lessons to drive real transformation.

Jake Fackrell: AI Won't Fix Healthcare. But It Will Expose What's Broken

What happens when an entrepreneur who built businesses around structuring messy, unstructured data turns his attention to healthcare? You don't get incremental change. You get a complete reimagining of how money moves through the system. In this episode of the Go-To-Market Podcast, host Amy Osmond Cook sits down with Jake Fackrell, COO at Savvos Health, for a conversation that challenges one of the most entrenched—and broken—systems in the U.S. economy: healthcare payments. Jake shares how his early ventures by structuring raw real estate data and building near real-time obituary and death record systems, laid the foundation for tackling healthcare's biggest inefficiencies. Why This Episode Matters Healthcare costs are rising at unsustainable rates—often increasing 20–30% annually for employers. But according to Jake, the real problem isn't just cost. It's complexity, opacity, and a system designed around delayed transactions and misaligned incentives. He reflects on building early "AI-like" systems using regex and structured logic and how modern AI has collapsed timelines from years to months (or even weeks). Jake explains that while most companies try to improve claims processing, Savvos Health asks, what if claims processing didn't exist at all? Instead of adding features to a broken model, Jake explains how Savvos Health is doing something far more disruptive: –Eliminating claims processing altogether –Replacing reimbursement cycles with real-time payments –Creating transparent, pre-negotiated pricing before care is delivered This conversation illustrates what happens when you apply data thinking—and now AI acceleration—to one of the most inefficient financial systems in existence. Watch now to see how one company is rewriting the rules of healthcare and what it means for every industry still clinging to outdated processes.