Klaviyo Inc. (NYSE: KVYO) moved its AI marketing agent, Composer, into public beta on June 30, while significantly upgrading its existing Customer Agent. Both tools now share the same real-time customer data, meaning actions taken by one agent make the other smarter over time. Klaviyo is positioning this dual-agent approach to close a persistent gap between AI investment and meaningful returns - a gap the company says most firms still face.
Marketing teams often struggle to identify where to focus and lack the time to act on high-value opportunities. Composer addresses both problems by spotting those opportunities, building the required campaigns, and executing them automatically. Rather than merely offering suggestions, the agent carries out the work end to end.
The dual-agent approach, which connects marketing and service functions, reflects a broader push toward AI for Marketing that delivers measurable outcomes instead of isolated recommendations. Klaviyo built both agents directly into its customer relationship management platform, so they operate on the same data foundation from the start.
Customer Agent's multi-channel reach
Customer Agent handles support across web chat, email, SMS, and WhatsApp. Brands can configure it once to run consistently across all channels or embed it into custom interfaces. The tool is designed to learn from every interaction and, because it shares data with Composer, support insights immediately inform marketing decisions.
Shared data drives smarter agents
By automating campaign creation and customer service workflows, Klaviyo's tools show how AI agents & automation can move beyond isolated tasks to connected systems. Most companies investing in AI have not yet seen meaningful returns, Klaviyo said, and the company argues that linking marketing and support - instead of running them separately - is a practical way to change that.
Why this matters for marketing professionals
Composer moves AI from an advisor that suggests next steps to an agent that executes them. For marketing teams, that means campaigns built on real-time customer data can launch without the usual lag between insight and action. The fact that Customer Agent feeds intelligence back into Composer also means the system gets sharper with every customer interaction. Marketers evaluating AI tools should look for platforms that connect marketing and service data this way, because the combined signal often surfaces opportunities a single function would miss.
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