Traditional conversation design is evolving. With generative AI and large language models transforming human-AI interaction, organizations face new challenges and opportunities. Fluent responses alone are no longer enough; effective conversational AI demands strong data foundations, ethical frameworks, operational clarity, and a deep understanding of human behavior. Dr. Susan Hura, VP of AI Experience at SpeechIcon, shares insights on why traditional methods are no longer sufficient and outlines a framework for designing AI systems that truly serve both people and business needs.

This article explores the shift from scripting individual dialogues to creating human-centered, strategically grounded AI experiences, highlighting the emerging roles of UX strategists and analysts in driving meaningful AI adoption.

Explore the future of conversational AI and learn how organizations can design systems that genuinely connect with people.

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