Featured Essay
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From Scorecards to AI: Why Automating Credit Decisions Is Harder Than It Looks
17 minutesWhat happens when a credit model becomes more confident than the evidence beneath it? Credit automation works best when the borrower, data and decision are predictable. Outside that boundary, better models can create greater confidence without greater understanding. From scorecards and machine learning to AI, the real challenge is knowing…
More Essays
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The Digital Trap: What Deflates a Bank’s Push for Digital Change?
4 minutesBanks are diving headfirst into the digital age, eager to revolutionize their operations with cutting-edge technology. But beneath the sleek, modern facade lies a hidden…
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Why Transformation Initiatives Fail Miserably: The Cultural Pitfalls
4 minutesIt seems obvious that any organisation will need to evolve in line with customer needs and competitive pressures. While ideas of change may be inspiring,…
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ONDC: Potential Impact on the Digital Marketplace
3 minutesOpen Network for Digital Commerce (ONDC) is a new initiative in India aiming to transform the digital marketplace by creating an open network for buyers…
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Accelerating Financial Recovery: Leveraging ODR in the Banking Sector
6 minutesBy aligning Online Dispute Resolution processes with the principles outlined by the RBI, Banks and financial institutions can navigate disputes efficiently, reduce recovery time, and…
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De-Dollarisation and its Impact on Indian Economy
5 minutesDe-dollarization refers to the gradual shift away from the dominance of the U.S. dollar in international trade and finance. Many countries, including India, have been…
Topics
Lending Logic
How lenders assess borrowers, deal with uncertainty, and make credit decisions under imperfect information.
Policy Logic
How policy priorities, regulatory choices, and institutional trade-offs shape banking outcomes.
Banking Technology
How technology, data, and digital infrastructure are reshaping banking, from internal systems to ecosystem-wide rails.
About FrankBanker
Financial institutions follow perfect logic to absurd destinations. In these pages we explore how they land up there. We are practitioners who have spent decades as bankers, advisors and builders, learning our lessons on what goes wrong, the hard way. These pages aim to help evaluate the why, why not, and occasionally, how of banking and related technology. Our research team builds practical, information-rich Banker’s Guides worth keeping.