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In this interview from monday.com Elevate 2026, Jillian Kamiyama, director of mid-market sales at monday.com, joins theCUBE's Rebecca Knight to discuss how enterprises are moving from AI curiosity to practical, cost-controlled automation. Kamiyama explains why cost predictability, not just security, has become the top concern for businesses adopting AI agents. She outlines why monday's built-in collaboration and direct access to live enterprise data set it apart from standalone chatbot tools, where ownership and continuity often break down. The conversation explores three common agent use cases monday customers are deploying: escalation agents that auto-resolve routine IT and support tickets, approval agents that route sales discounts and other sign-offs based on preset thresholds, and forecast agents that flag deals missing key qualification criteria. Kamiyama emphasizes that human oversight remains essential, framing agents as tools that handle repetitive groundwork rather than replace judgment. She also details how monday's AI platform addresses governance concerns, including setting per-user credit limits and usage warnings to prevent runaway costs. From a small window manufacturer automating shop-floor communication to sales teams automating qualification checks, Kamiyama offers a practical framework for enterprises unsure where to begin: start small, identify repetitive workflows and expand from there. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Customer Expectations and Concerns for AI Automation 02:07 - Aligning monday.com AI With Business Needs 05:26 - Automating Escalations and Approvals With Agents 07:57 - AI Sales Agents and Human Oversight 13:21 - Managing AI Pilots, Usage, and Costs #theCUBE #MondayElevate #theCUBEresearch #mondaycom #AI #EnterpriseAI

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