Embedded AI
New AI Rules for Collectors: What You Can (and Can’t) Do, and How to Prove It
This is the second post in our three-part blog series, Responsible AI in Collections: Privacy, Proof, and Practical Guardrails. Regulators are no longer relying solely on general data privacy laws to govern artificial intelligence (AI). They are now naming AI, distinguishing between its subtypes and telling us how we can use them. All 50 states…
Read MoreCollections AI: If You Can’t Explain It, Don’t Ship It
This is the first post in our three-part blog series, Responsible AI in Collections: Privacy, Proof, and Practical Guardrails. AI didn’t erase our privacy obligations; it magnified them. As data flows across CRMs, dialers, payment portals, and analytics engines, and as AI trains on patterns it encounters, our duty is unchanged: protect the data, know…
Read MoreWhat’s New and Next in Collections: Using AI, Automation, and Compliance to Compete
In 2026, collections agencies face an unprecedented degree of complexity. As inventory tightens and margins shrink, compliance scrutiny grows. Consumer expectations continue to shift. These pressures set the stage for our recent Horizon series Q1 webinar, where leaders discussed the broader transformation underway across the industry — specifically, how AI, automation, and integrated compliance capabilities…
Read MoreAI in Collections: Why Unstructured Data Is the Real Breakthrough
Collections agencies have never had a problem capturing data. What many struggle to achieve is visibility that makes that data truly actionable. The signals that matter most in resolving accounts have always existed. Why a consumer hesitates, what they already explained, how their situation is changing over time — crucial context like this shows up…
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