Author: Amit Balooni

Amit has spent 25 years across banking, advisory, and financial technology. Through FrankBanker, he writes about why, why not, and occasionally how of banking and technology. He is Founder & CEO of Hyperfin Technologies.
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    From Scorecards to AI: Why Automating Credit Decisions Is Harder Than It Looks

    What 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 what can be automated, what still requires judgement and how institutions should govern the space between them.

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    Cooperative Banks: A Sector Waiting for Its Technology Moment

    Cooperative banks sit at a strange crossroads: deeply trusted by the communities they serve, yet held back by technology stacks never really designed for them. CBS may have brought basic digitisation, but lending workflows, member intelligence, risk monitoring and compliance still run on improvisation, Excel sheets and vendor workarounds. As RBI raises the bar on governance and supervision, the sector needs more than another software patch. It needs a technology architecture built around cooperative realities: configurable, modular, affordable and capable of turning grassroots trust into modern banking capability.

  • The Strange Logic of the Lending Stack

    Banks do not suffer because lending is fragmented. They suffer because the technology supporting lending evolved in fragments. CRM, LOS, LMS, scoring, analytics, and integrations were built as separate domains for what is actually one continuous loan journey. The result is duplicated data, higher operating cost, slower decisions, and hidden architectural risk across the lending stack. Is there an alternative?