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Fintech for Businesses
Playbooks and case studies covering fintech for businesses.
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.
5 Mistakes Teams Make When Automating B2B Credit Onboarding
Your automated onboarding is hitting SLA targets but the manual-review queue keeps growing and bad approvals are creeping up. Here are the five failure modes we see most often in B2B credit decisioning, and how to recover from each.
How KarroFin Scored 250K Borrowers Without a Credit Bureau
KarroFin needed to underwrite borrowers the bureaus had never heard of. Here's the engineering call that turned UPI logs, GST cadence, and utility payments into a score that beat the bureau — and what we'd do differently.
Shadow Mode Testing for AI Models Before You Cut Over
Shadow mode lets your new credit-scoring or fraud model see real production traffic without making any customer-facing decisions. Here's a runnable tutorial covering the wiring, the logging schema, the comparison metrics, and the failure modes offline evaluation will never show you.
Event Sourcing Explained: Why Your Audit Log Is Lying to You
Most fintech databases store only the latest state, which is why audit logs quietly lie when regulators ask what happened six months ago. Event sourcing fixes that by making the log the system itself — here's how it works and when it's worth the cost.
5 Mistakes Teams Make Automating GST Compliance with AI
Most GST automation failures are not model failures — they are boundary failures the vendor never warned you about. Here are the 5 mistakes finance teams keep making when they roll out AI for GST filing, and how to recover before the penalty window closes.