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Nate
Schimmoller
Senior Manager, Support Operations
Klaviyo
Nate Schimmoller is Senior Manager of Support Operations at Klaviyo, where he leads analytics and data science teams improving global support operations through machine learning, agentic AI, and operations research. He built Klaviyo’s applied analytics function from scratch, developing AI-powered interaction analysis, automated forecasting, and an AI scheduling agent. His work has improved chat first-response times from over an hour to under one minute and email response times from two days to under two hours. Previously, he led Care Analytics at LogMeIn, delivering significant cost savings through data-driven optimisation. His expertise spans Python, SQL, multi-agent AI workflows, workforce management, and operational efficiency.
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27 October 2026 09:45 - 10:15
Beyond the chatbot: The AI your customers never see
Most AI investment in support goes into the agent customers talk to. The results depend on the planning behind it. When customer demand surges, support teams have to cover more hours, more regions and more channels without letting response times slip. Now AI agents are taking on part of that volume too. How do you plan capacity when part of your workforce isn't human? This session goes inside a fast-growing support operation that rebuilt how it forecasts, schedules and staffs to keep up with demand. It looks at how that planning changes once AI agents join the mix, from deciding what to automate to keeping context intact when a case moves to a human. Through a workforce planning leader's view of scaling support across time zones, attendees will see how a blended human and AI team is planned and run day to day. Key takeaways: → Decide which interactions should go to AI agents, in-house teams or outsourced partners → Forecast and schedule a workforce that's part human and part AI → Expand coverage and priority support without letting response times slip