One note before the content: the transcript provided contains only the intro, one question about Jamie's mortuary-business upbringing, and the outro. It does not include the substantive discussion of AI agents or budgeting. The summary below is written strictly from what is in the transcript plus the guest and company details, and it does not invent claims about what Jamie said on AI agent budgets. If a fuller transcript exists, rerun with it for a more complete piece.

Budgeting for AI Agents: Why Trust Still Comes First With Klaviyo CMO Jamie Domenici

Introduction

Jamie Domenici is Chief Marketing Officer at Klaviyo, the B2C CRM that helps more than 200,000 consumer brands turn customer data into personalized experiences. She brings more than 20 years of SaaS marketing experience, including the CMO seat at GoTo and over a decade in marketing leadership at Salesforce. The framing for this conversation is a question most consumer marketers have not yet budgeted for: how do you market to AI agents without giving up control of your brand or your customers?

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The Agent Problem Every Consumer Brand Will Face

Klaviyo describes itself as the autonomous B2C CRM, bringing marketing, customer service, data, and AI together in one platform for brands like Glossier, Liquid Death, Mattel, and TaylorMade. That positioning matters because the next buyer your brand meets may not be a person scrolling a feed. It may be an agent acting on that person's behalf. The strategic tension Jamie is set up to address is simple to state and hard to solve. Brands want the reach that agents will bring, but they do not want to hand over the relationship, the data, or the brand voice to an intermediary. For CMOs building 2026 and 2027 budgets, this is no longer a futurist thought experiment. It is a line item question. Do you fund agent-readiness through your CRM, your content, your data infrastructure, or all three? The transcript provided does not capture Jamie's specific answer, so I will not put words in her mouth on the numbers. What it does capture is the lens she brings to the problem, and that lens is worth the budget conversation on its own.

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What a Mortuary Taught a CMO About Marketing

Jamie grew up in her family's mortuary business, and I asked what that taught her about ru ing marketing. Her answer was not about process or tooling. It was about people. "You really have to listen to people and you have to understand them and you have to relate and you have to build trust," she said. "It's a really tough time in anyone's life." She drew the line directly to her current role. "Same with marketer. I'm trying to build trust with my consumers, build a relationship." The transferable skill, in her words, is "the way you co ect human to human." That is the foundation she brings to every technology decision, including how Klaviyo thinks about AI and autonomy inside a consumer brand's CRM.

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Why This Matters for AI Agent Strategy

Here is the practical takeaway for marketing leaders. If agents start mediating purchases, the brands that win will be the ones whose customer relationships are strong enough to survive an intermediary. Trust is what makes a customer tell their agent to buy from you specifically, rather than letting the agent optimize on price alone. That means the data you collect, the personalization you deliver, and the service you provide are not separate from your agent strategy. They are your agent strategy. Budgeting for AI agents starts with budgeting for the owned customer relationship that agents will eventually query.

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Key Strategies Marketing Leaders Can Act On

Three ideas come through from the framing and Jamie's answer. First, treat trust as infrastructure. Listening, understanding, and authenticity are not soft skills in an agent-driven market. They are the moat. Second, consolidate the customer view. Klaviyo's model of combining marketing, service, data, and AI in one platform reflects a bet that fragmented stacks ca ot serve agents well. Third, keep control of the relationship. The stated goal of the conversation is marketing to agents without giving up your brand or your customers, and any spend that erodes that control deserves a second look.

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Conclusion

The core lesson from Jamie Domenici is that technology changes the cha el, not the job. Whether the buyer is a person or an agent acting for that person, the marketer's work is still to listen, understand, relate, and earn trust. Consumer brands pla ing their AI agent budgets should start from that principle and fund the data and CRM foundations that make trust visible to a machine. And as always, my advice is to just focus on keeping your customers happy.