This pod was based on the AI in Asia: Reimagining banking operations through agentic AI article by McKinsey & Company and AI generated by Notebook LM. The hosts are not real people, but I personally guided Notebook LM to give us this output, enjoy!
This episode explores the transformative potential of agentic AI and multiagentic systems within the banking sector, particularly across Asia. As financial institutions face tightening margins and intensifying risks, the sources highlight how operations—which typically represent 60 to 70 percent of a bank’s cost base—are ripe for a fundamental rewiring. You will learn how shifting from siloed technology to enterprise-wide intelligence can unlock 30 to 40 percent improvements in operational efficiency.
The conversation breaks down a ten-domain playbook for transformation, covering critical areas such as lending and credit operations, financial crime mitigation, and customer journey redesign. We also discuss the five essential enterprise capabilities—ranging from a business-driven roadmap to talent and operating models—that product leaders and innovators need to master to move beyond tactical automation toward scalable, long-term competitive advantage.
What you’ll learn
• How multiagentic systems orchestrate complex, multistep workflows across the entire banking value chain.
• The impact of nine crosscutting AI agents in transforming domains like lending, payments, and risk management.
• Strategies for moving from manual, rule-based processes to AI-led dossiers that enhance decision speed and compliance.
• The five-part framework for successfully scaling AI-led operations transformations.
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Remember this is an AI generated podcast. If you want to listen to human interactions, head to my Purpose Driven FinTech Podcast instead, Cheers!
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Production and marketing by Monica Millares. For inquiries about sponsoring the podcast, email Monica at fintechwithmoni@gmail.com
Disclaimer: This episode does not constitute professional nor financial advice and does not represent the opinion nor views of my current, past or future employers. The guest has agreed to record and release our conversation for the use of this podcast and promotion in social media.
