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 […]
RBI Digital Lending Directions 2025: What NBFCs Must Change in Their AI Collections Workflows
TL;DR RBI Digital Lending Directions 2025 and What They Mean for NBFC AI Collections Compliance The RBI’s updated digital lending directions in 2025 have placed NBFC AI collections workflows squarely under regulatory scrutiny. The RBI Master Direction on Digital Lending, 2022, originally issued in August 2022 and subsequently strengthened by the DPDP Act overlay in […]
Early Bucket Collections for US Community Banks: AI Strategy for the 1-30 DPD Window
TL;DR A $3.2B community bank’s collections team runs Monday’s 1-30 DPD queue: 2,100 accounts, alphabetically. 280 self-cure by 10 AM. 280 contacts that consumed Regulation F frequency budget without generating a recovery conversation. For any Head of Collections at a US community bank, the challenge of early bucket collections in the 1-30 DPD window is […]
AI Voice Agent FDCPA Compliance: Call Scripting, Disclosures, and Opt-Out Handling for US Banks
AI Voice Agent FDCPA Compliance: Call Scripting, Disclosures, and Opt-Out Handling for US Banks Meta Title: AI Voice Agent FDCPA Compliance for US Bank Collections Meta Description: AI voice agent FDCPA compliance for your US bank collections program requires architectural controls, not script reviews. What your team must know. TL;DR A collections AI voice agent […]
SHAP Adverse Action Notices for US Bank Collections AI: ECOA-Compliant Account-Level Explanations
TL;DR A bank’s compliance officer receives a fair lending complaint. The borrower declined a settlement arrangement that comparable accounts received. The question on file: what was the reason? The collections AI model has no per-account explanation available. This is the operational gap where SHAP adverse action notices, collections AI, and ECOA compliance converge for US […]
MLOps for SA Credit Providers: What AI Collections Implementation Looks Like
TL;DR Building an AI collections model and running one are two different disciplines. A model that performs well in development can fail in production for reasons that have nothing to do with the quality of the underlying algorithm. The training data becomes stale as the portfolio evolves. The portfolio composition shifts toward product types the […]
What Most Banks Still Get Wrong About AI Fairness
The most dangerous thing about biased AI in lending is that it rarely looks biased. It looks efficient, mathematical, objective, and scalable, which is exactly why institutions trust it so quickly. Over the last decade, banks have aggressively modernized credit decisioning using AI and machine learning. The promise was compelling: faster approvals, better risk assessment, […]
CFPB Enforcement of AI-Generated Collections Communications: What’s at Stake
TL;DR Think of a factory that installs new automated machinery but keeps filing the same safety inspection reports it wrote for the manual line. The machines are faster, the output is larger, and the floor looks nothing like it did. But the documentation still says “operated by hand.” When the inspector arrives, the gap between […]
