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In this episode of GydeBites, host Prasanna Vaidya speaks with Deepak Konale about how financial institutions can move beyond AI experimentation and create business value with Agentic AI.
The conversation explores practical use cases across operations, customer experience, revenue growth, and risk management. Deepak also explains how AI agents are reshaping traditional software development, the importance of governance and guardrails, and why context-driven systems will become a key competitive advantage.
A practical and forward-looking discussion for leaders looking to scale AI responsibly and effectively across their organizations.
What are the key use cases of agentic AI in financial services?
What benefits can financial institutions expect from these use cases?
Which AI models, platforms, and tools have you used to deliver these use cases?
What risks do financial services face when adopting agentic AI?
How does building, deploying, and maintaining agentic AI differ from traditional systems?
Partner, Agentic AI & Data Transformation, Cognizant
With over 30 years of experience, Deepak leads agentic AI and digital worker transformation for tier-one financial services firms. He has built and scaled high-performing AI teams and developed patented AI solutions, enabling institutions to evolve from siloed models to coordinated, decision-making systems.
