The Missing Ingredient in Agentic AI: Predictive Intelligence
Every technology wave has a defining misconception. During the rise of robotic process automation, many believed that automating workflows would transform business performance. It certainly improved efficiency, but it rarely improved decision quality. Organizations became faster at executing the same decisions they had always made. Today, a similar assumption is emerging around agentic AI. Across […]
Credit Card Collections in India: Why Revolving Balance Models Need Different AI
Card NPAs Jumped 28% in a Year, Concentrated Almost Entirely in the Segment Instalment Models Handle Worst TL;DR India’s credit card NPA numbers moved sharply in a short window: a 28.42% year-on-year jump to Rs 6,742 crore by December 2024. The aggregate NPA ratio still looks manageable at roughly 2.3% of total receivables, but that […]
Build vs Buy vs Partner: 2026 Decision Framework for AI Collections at Indian Banks
Every Vendor Deck Leads With Cost and Speed. The Question That Actually Matters Is Who Answers to RBI When the Model Fails. TL;DR Every vendor pitch for AI collections leads with the same two numbers: how much faster it is than building in-house, and how much cheaper it is over three years. Those numbers matter, […]
Personal Loan Collections in India: AI Behavioural Signals for Unsecured Recovery
Unsecured Delinquency Is Rising Even as the Overall Loan Book Looks Healthier Than Ever TL;DR The aggregate Indian banking system NPA story is a genuinely positive one right now, system-wide gross NPAs sit at multi-decade lows. But that headline masks a specific, well-documented divergence: unsecured personal loans are moving in the opposite direction, with delinquencies […]
MSME Loan Collections: How AI Uses Informal Income Signals When Traditional Scoring Fails
The Headline Number Says MSME Lending Is Healthier Than Ever. The RBI’s Own Report Says Look Closer. TL;DR The system-wide MSME story is genuinely a good one, and it’s worth stating plainly rather than manufacturing a crisis that doesn’t exist. Gross NPAs in the MSME book have fallen sharply over the past several years, and […]
FCRA and AI Collections: Bureau Data Obligations That Go Beyond Origination
Clean FCRA Documentation on Underwriting Doesn’t Cover What Collections Is Doing With the Same Bureau Data TL;DR A bank can have a clean, well-documented FCRA compliance program for its underwriting models, permissible purpose logic, dispute workflows, furnishing controls, all built and reviewed. Ask the same institution to produce equivalent documentation for how its collections AI […]
BNPL Collections in 2026: What Applies Now That the CFPB’s Credit-Card Classification Was Withdrawn
Building Toward a Rule the Bureau Itself Withdrew Solves Nothing TL;DR If your BNPL collections build is still oriented around satisfying the CFPB’s card-issuer classification, it’s worth pausing to check the date. The Bureau withdrew that rule in May 2025 and confirmed the following month it has no intention of bringing it back in that […]
Hardship Workflow Automation: How AI Routes Distressed Borrowers to the Right Programme
Two Borrowers in Identical Distress Shouldn’t Get Different Outcomes Because They Reached Different Agents TL;DR A borrower calls in genuinely struggling. Depending on which agent picks up, on their training, their caseload that day, their read of an ambiguous situation, that borrower gets routed to a forbearance conversation, a payment plan pitch, or nothing more […]
Credit Card Collections AI: How Revolving Behaviour Changes the Propensity Model
Your Installment Model Isn’t Underperforming on Cards. It’s Answering a Different Question. TL;DR A collections model that performs well on personal loans and auto loans, then quietly underperforms the moment it’s pointed at a credit card portfolio, isn’t a model that needs more data. It’s a model answering a question revolving credit doesn’t ask. Why […]
Mortgage Collections and Loss Mitigation AI: Meeting CFPB Servicing Rules Without Manual Intervention
An AI System That Contacts a Borrower Mid-Review Isn’t Efficient. It’s a Violation. TL;DR A mortgage servicer’s AI collections system flags a delinquent account for outreach. The borrower submitted a loss mitigation application eleven days earlier. It’s still under review. The system doesn’t know that, because nobody wired loss mitigation status into the contact decision. […]
