Episode 67

From AI Assistant to AI Agent, Building Products That Actually Take Action

In this episode of the AI Loves Data Podcast, we sit down with Tanvi Kopardekar, a product leader specializing in Agentic AI, Generative AI, analytics, and AI-powered customer experiences.

Tanvi shares her perspective on one of the biggest shifts happening in AI product development today: moving from assistants that answer questions to agents that understand context, make decisions, and take action.

We explore what it takes to turn powerful AI capabilities into products customers actually use and trust, from conversational intelligence and context management to human-AI collaboration, product metrics, and moving beyond AI pilot purgatory.

Key Highlights:

• What separates an AI feature or assistant from a truly agentic product capable of taking action.
• How product teams should think about context, permissions, user control, reliability, and human oversight.
• Turning calls, messages, and customer interactions into actionable insights and intelligent workflows.
• Why promising AI pilots often struggle in production  and what product teams can do differently.
• Why task completion isn’t enough and how teams should think about quality, customer experience, trust, and business outcomes.

🎧 Tune in to Episode 67 to hear Tanvi Kopardekar’s perspective on designing the next generation of AI-first products and what changes when software stops simply answering questions and starts taking action.

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