Many companies rush to build their first AI agent. Few stop to think what happens after it works.

In this episode of Invention Mode, host Tanya Kohen talks with Integration & AI Solution expert Paul Chayka about how to implement your first AI agent in a way that delivers real business value and doesn’t break when it’s time to scale. Based on real implementations in finance, treasury, and operations, they discuss how to choose the right initial use case, decide between low-code and custom development, and define metrics that prove ROI to leadership.

The conversation focuses on fundamentals that determine long-term success: clean data, stable processes, integration-ready architecture, and governance that prevents a growing patchwork of disconnected agents. Featuring practical cases — from reporting automation to conversational BI and multi-agent support systems — this episode offers a grounded guide for leaders moving from AI experimentation to sustainable impact.

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✦ Share your own story of invention with Tanya Kohen on LinkedIn — https://www.linkedin.com/in/tanyakohen/

✦ Paul Chayka on LinkedIn — https://www.linkedin.com/in/paul-chayka-5a0511250/

✦ Watch the webinar where Tanya Kohen and Paul Chayka break down how AI is adopted in treasury operations — https://youtu.be/UUr3Vjd1Adg?si=JsKkFQxCxjzoamjo

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Disclaimer: The views and opinions expressed by the guest speakers on this podcast are their own and do not necessarily reflect those of their current or previous employers or affiliated organizations.