Which Accounts Deserve Legal Placement in Debt Collection
Legal placement decisions come down to net value: predicted collections through litigation minus the cost of pursuing them. Here’s why balance thresholds miss that, and how legal selection models rank accounts instead.
Predictive Scoring for Auto Loan Portfolios: What FICO and Days Past Due Miss
Many auto borrowers are credit invisible or thin-file. See how explainable predictive scoring shows which accounts may cure and which need outreach.
AI Collection Agents in 2026: What the Adoption Data Shows
Nearly every collection agency now uses or is considering AI, but adoption and results aren’t the same thing. Here’s what the industry data shows.
Beyond the Score: How Predictive Analytics and EQ Engine Improve Debt Recovery
A credit score was built for lending decisions, not collections. Learn what predictive analytics measures instead, from payment probability to timing and value.
Fewer Calls, More Completions: What Auto Borrowers Want From Collections
For a large share of auto borrowers, falling behind is a flexibility problem more than an awareness problem. Here’s what past-due auto borrowers want from collections, and why self-service has become such a big part of the conversation.
Auto Loan Delinquencies Just Hit a 32-Year High. Is Your Collections Strategy Built for It?
Auto loan delinquencies are at levels unseen since the Great Recession. Learn the compliance risks behind rising repossessions and how to build a smarter strategy.
What’s Actually in the CFPB’s 2026 Regulatory Agenda for Debt Collectors
The CFPB's 2026 agenda reconsiders the $10M larger participant threshold for debt collectors but leaves Reg F untouched. See what's proposed and what to track.
Top Features to Look for in AI Debt Collection Software
What to look for in AI debt collection software: predictive analytics, behavior-triggered engagement, and compliance-aware automation.