PODCAST · business
The AIRops Podcast
by Brian Garvey
The AIRops Podcast is a practical show for RevOps, Sales Ops, Marketing Ops, and business leaders navigating the shift from traditional operations to AI-powered revenue teams.Each episode features real conversations with operators, consultants, and builders who are using AI in the real world—not theory, not demos, and not hype. We break down how AI is actually being applied across revenue workflows, where it’s driving real value, where it’s falling short, and what teams need to understand to adopt it responsibly and effectively.Topics include:The evolution from RevOps to AIRopsAI-assisted vs. AI-automated workflowsReal customer and operator use casesTooling, models, and emerging best practicesWhat AI changes—and doesn’t change—about how revenue teams workIf you’re trying to make sense of AI beyond “we’re using ChatGPT,” and want practical insight you can apply to your role, your team, or your clients,
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Practical HubSpot AI for Marketing & Sales Teams: Content Remix, Brand Kit & Prospecting Agent
In this episode, Brian Garvey is joined by Madelyn Donovan, a HubSpot expert who works hands-on with marketing and sales teams to apply AI in practical, real-world ways.Rather than surveying every AI feature in HubSpot, this conversation goes deep on three tools where teams are seeing real impact today: Content Remix, Brand Kit, and Prospecting Agent.Together, they break down:How to use Content Remix as a starting point—not a crutchWhy Brand Kit and Brand Voice are foundational to getting high-quality AI outputHow providing the right context dramatically improves resultsHow teams are using Prospecting Agent, including autonomy controls and human-in-the-loop best practicesWhen to use target accounts vs direct enrollment, and why it mattersHow to think about these tools as scalable systems, not one-off experimentsIf you’re part of a marketing or sales team using HubSpot—and you want practical guidance that helps you do better work tomorrow, not abstract AI hype—this episode is for you.
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From Personal Productivity to Production Agents in HubSpot
In this episode of the AIRops Podcast, Brian sits down with Chris Tveter to explore what real AI adoption looks like inside modern RevOps teams — beyond hype, tools, and experimentation.Chris shares his personal journey from self-teaching HubSpot the hard way to using AI as a daily productivity multiplier, and how that progression naturally evolves into production-grade systems, agents, and workflows. The conversation covers where AI delivers immediate value today, how teams should think about maturity and sequencing, and why clean data remains the foundation for everything AI promises to unlock.Rather than starting with “AI strategy,” this episode reframes AI as an outcome enabler — helping teams make more money, save time, reduce manual work, and finally turn their CRM into the operational brain it was always meant to be.In this episode, we cover:The “aha” moment when AI shifts from novelty to real leverageUsing AI for day-to-day RevOps work (summaries, proposals, data cleanup)Why personal productivity is usually the first step in AI adoptionWhen to use native CRM AI tools vs. custom agentsHow AI agents can read from and act directly inside HubSpotReal examples of automating data enrichment, routing, and outreachWhy AI projects almost always start with outcomes — not AI requestsThe critical role of data hygiene in any AI-powered systemHow AIRops may finally deliver what RevOps originally promisedThis episode is ideal for RevOps leaders, operators, consultants, and HubSpot professionals who want to move from talking about AI to actually putting it to work.
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ABOUT THIS SHOW
The AIRops Podcast is a practical show for RevOps, Sales Ops, Marketing Ops, and business leaders navigating the shift from traditional operations to AI-powered revenue teams.Each episode features real conversations with operators, consultants, and builders who are using AI in the real world—not theory, not demos, and not hype. We break down how AI is actually being applied across revenue workflows, where it’s driving real value, where it’s falling short, and what teams need to understand to adopt it responsibly and effectively.Topics include:The evolution from RevOps to AIRopsAI-assisted vs. AI-automated workflowsReal customer and operator use casesTooling, models, and emerging best practicesWhat AI changes—and doesn’t change—about how revenue teams workIf you’re trying to make sense of AI beyond “we’re using ChatGPT,” and want practical insight you can apply to your role, your team, or your clients,
HOSTED BY
Brian Garvey
CATEGORIES
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