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 […]
Your Vendor Validated The Model. RBI Says That Doesn’t Count
TL;DR Para 45 of RBI’s draft guidance on Model Risk Management contains one sentence that most vendor relationships in Indian banking are not built around. “An RE acquiring, using or relying upon third-party models at any stage of the model lifecycle is accountable for its outcomes.” That sentence is complete as written. The accountability does […]
Your Institution Probably Has 10x More Models Than You Think. Here Is How RBI Counts Them
TL;DR Think of the last three quantitative decisions your institution made. A lending rate was set. A collection account was routed to an agent. A loan application was declined. For each one, ask: did a tool take an input, apply some logic to it, and produce an output that drove that decision? If the answer […]
NCA Section 86 and AI Collections: Real-Time Debt Review Integration for SA Credit Providers
TL;DR NCA Section 86, AI Collections, and the Case for Real-Time Debt Review Integration South African credit providers running AI-driven collections workflows face a compliance exposure that most batch-based systems cannot close: the gap between when a borrower applies for debt review and when the collections platform actually knows about it. NCA Section 86, as […]
NCA-Compliant AI Collections in South Africa: Debt Review, Conduct, and Section 129 Requirements
TL;DR South African credit providers deploying AI in collections face a compliance problem that batch-based systems cannot solve. The National Credit Act 34 of 2005 (NCA), as amended by the National Credit Amendment Act 2014, together with the NCR Guideline 2023 on AI automated systems, creates a regulatory framework where the timing of each contact […]
CFPB UDAAP and AI Collections: What Unfair, Deceptive, and Abusive Means for US Banks in 2026
TL;DR CFPB UDAAP Standards and AI-Driven Collections: What US Banks Must Address in 2026 The CFPB’s UDAAP authority now reaches directly into AI collections workflows at US banks, and the enforcement data from 2025 confirms that examiners are acting on it. The regulatory foundation sits in Dodd-Frank Section 1031, which grants the CFPB authority over […]
RBI Scale Based Regulation for Upper Layer NBFCs: AI Collections Governance Requirements
TL;DR RBI Scale Based Regulation and AI Collections Governance for Upper Layer NBFCs The intersection of RBI scale based regulation for Upper Layer NBFCs and AI collections governance has become the most scrutinized compliance domain for India’s largest non-bank lenders. RBI’s Scale Based Regulation for NBFCs, issued in October 2021, operationalized through the Upper Layer […]
POPIA Section 71 and AI Collections Decisions: What SA Credit Providers Must Be Able to Show
TL;DR South African credit providers using AI to drive collections decisions face a specific and increasingly enforced obligation under POPIA Section 71: the ability to explain any automated decision to the borrower and to the Information Regulator on demand. The Protection of Personal Information Act 4 of 2013 (POPIA) commenced in July 2021, with enforcement […]
SR 11-7 Model Inventory Requirements for Collections AI: What Counts as a Model in 2026
TL;DR SR 11-7 Model Inventory Requirements for Collections AI: What Banks Must Know in 2026 Most model risk management teams at US banks built their collections governance frameworks years before AI entered the collections workflow. That gap is now visible in examination findings. SR 11-7: Guidance on Model Risk Management, issued jointly by the Federal […]
Regulation F CFPB Compliance for AI Collections: Frequency Limits and Opt-Out Requirements
TL;DR What Regulation F Compliance Means for AI-Driven Collections at US Banks Every US bank running AI in its collections workflow faces a single question from CFPB examiners: does your system count all contact attempts in one bucket, or does it let AI and human agents operate on separate tallies? Regulation F compliance for AI […]
