Bhavaya Gupta on Generative AI in Banking | The Orbit Shifting Talks

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July 31, 2026 Customer Connects

The Orbit Shifting Talks | Episode 15: In Conversation with Bhavaya Gupta, Cloud & AI Strategy, AWS

As Generative AI moves from experimentation to enterprise adoption, banks and financial institutions are rethinking how they deliver customer experiences, improve operational efficiency, and build intelligent financial services.

In this episode of The Orbit Shifting Talk Podcast, Ms. Chhavi Tiwari Sood, Head – Global Demand Generation at Nucleus Software, speaks with Mr. Bhavaya Gupta, Account Manager, ISV & Digital Natives, Amazon Web Services (AWS), about what this shift looks like in practice, and what it demands of the institutions undertaking it.

The discussion explores how Generative AI has evolved beyond automation to become a business transformation enabler. From conversational banking and multilingual customer engagement to intelligent loan servicing and autonomous workflows, the conversation highlights practical applications that are already creating measurable impact.

Key topics include:

  • Why customer service is often the first successful GenAI use case?
  • The role of voice AI in improving financial inclusion.
  • How AI can support lending, collections, and loan restructuring?
  • The journey from AI assistants to autonomous banking agents.
  • Best practices for banks and NBFCs adopting Generative AI.
  • Why employee enablement and customer education remain essential for successful AI adoption?

The conversation also emphasizes that there is no single blueprint for AI adoption. Every financial institution must align its AI strategy with its business priorities, customer needs, and long-term transformation goals.

Watch the complete conversation to learn how Generative AI is helping financial institutions build more intelligent, scalable, and customer-centric banking experiences.

Every technological shift in banking has, at some point, been described as transformational. Generative AI is unusual in that the claim may actually hold – not because it automates faster, but because it changes the nature of the interaction between a bank and the person it serves.

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