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Fintech for Businesses
Playbooks and case studies covering fintech for businesses.
Build vs. Buy Your AI Scoring Model: A Decision Framework
Most build-vs-buy comparisons for AI scoring models are written by vendors and framed around cost and speed. Here is the axis that actually matters three years in — and how to score your own situation against it.
5 Mistakes Teams Make When Automating KYC Onboarding
Most KYC automation failures aren't loud rejections — they're silent passes and exception queues bigger than the manual process you replaced. Here are the five mistakes we keep seeing in production and how to recover from each.
Loan Onboarding Automation: The Edge-Case Cheatsheet
Most loan onboarding automation breaks not because of bad models, but because it lacks explicit states for messy inputs. Here is the cheatsheet for the edge cases that fill your exception queue.
Build vs. Buy AI Credit Scoring: A Lender's Decision Framework
Off-the-shelf AI credit scoring platforms often match custom models on accuracy in year one — but accuracy isn't the axis that should drive your build-vs-buy call. Here's the framework that actually matters, from explainability ownership to alternative-data fit.
Event Sourcing Explained: Stop Losing Your Audit Trail
Failed an audit because your database only stores current state? Here's how event sourcing turns your history into the source of truth — and why the audit log is actually the least interesting part.
5 Mistakes Teams Make When Automating a Lending Operations Back Office
Most lending back-office automation projects don't fail at go-live. They fail six months in, when the exception queue quietly becomes the whole business. Here are the five patterns behind that drift — and how to recover.
What Is a Feature Store? Stop Retraining Models on Stale Data
Your model looked great in the notebook and degraded quietly in production. The culprit is usually training-serving skew — and a feature store is the piece of infrastructure built to eliminate it.
How KarroFin Automated Credit Scoring for 250K Borrowers
A deep walkthrough of how KarroFin built an automated credit scoring pipeline for 250,000 borrowers — what the team tried first, why the model wasn't the bottleneck, and how the feature layer unlocked everything.
AI Credit Scoring Red Flags: A Model Audit Cheatsheet
A dense reference for credit risk heads inheriting an AI scoring model they didn't build. Covers the three audit failure modes accuracy metrics miss: proxy discrimination, silent drift, and disconnected reason codes.
Questions to Ask Before Hiring an AI Fintech Dev Partner
Most fintech RFPs get won by the vendor with the slickest deck, not the one that has actually reconciled a failed disbursement at 2 AM. Here are the questions that expose the difference in under an hour.
5 Mistakes Teams Make When Automating Loan Collections
Most collections automation projects ship faster outreach without modeling why borrowers actually miss payments. Here are the five mistakes we see NBFCs and digital lenders make — and how to recover before roll rates get worse.
GST Reconciliation Failures: A Dev-Side Cheatsheet
A dense reference for engineers whose GST reconciliation passes unit tests but bleeds ITC mismatch tickets in production. Covers GSTR-2B refresh cadence, RCM, QRMP, and GSTIN state transitions.