Erhältlich:
Nicht auf Lager
Buch (Softcover): Fachbuch
The Debt Collection Industry With Artificial Intelligence-Powered Recovery
A Strategic Model for Transforming Recovery, Enhance Contact, Reduce Risks, Increase Collection and Ensure Profitability
Verlag:
Independently Published Unsere-Artikel-Nr.: P36476710
EAN: 9798189657023
Erhältlich:
Nicht auf Lager
Zustellung: Fr, 30.10.2026
Versand: Kostenlos
-3.5 %
CHF 256.–
CHF 247.–
Beschreibung
Artificial intelligence has already changed what a Debt Collection Industry floor can do. Most agencies have not been shown how. Your operation can tell you what happened last month. AI tells you which consumer is contactable in the next four hours, which payment plan breaks on Thursday, and which settlement is about to destroy the yield it appears to protect - then acts before the opportunity decays. That is the difference between a report and an intelligence system. This book builds the second one. The Debt Collection Industry With Artificial Intelligence-Powered Recovery. is the most complete AI operating manual ever written for the recovery enterprise: 10 volumes, 46 chapters, 51 forensic case studies - board mandate to production deployment. Not a survey of what AI might do, but the specific algorithms, on the specific problems in your operation, with the governance that makes them examinable. THE AI ARSENAL. Propensity and expected-value modeling. Gradient-boosted trees (XGBoost, LightGBM) score every account by what it will actually return, net of pursuit cost, replacing balance-ranked worklists. Same headcount, same portfolio, higher liquidation. Anomaly detection without labels. Isolation Forests surface synthetic-identity clusters, telephony abuse, and portfolios behaving unlike the seller's representation. Caught in week one, that is a pricing conversation. At month-end, it is a booked loss. Deep learning that hears everything. Transformers (BERT, RoBERTa) read sentiment, urgency, and intent across 100% of your calls and correspondence, flagging an FDCPA script deviation during the call rather than in a QA sample three weeks later. Reinforcement learning that acts, not just predicts. A contact engine learns the optimal channel sequence and best-time-to-contact from real outcomes - with complaints priced into the reward function, and training confined to a digital twin so it never learns non-compliant habits on live consumers. Generative AI with mandatory RAG grounding. Real-time compliant negotiation prompts on every seat, and dispute responses drafted from the account's own history and your validation policy. Causal inference and uplift modeling. Stop funding interventions for consumers who would have paid anyway. WHAT IT RETURNS. >THE COMPLIANCE INVERSION. The most serious objection to AI here is regulatory risk. It is backwards. Asked why a consumer received a specific communication on a specific date, a legacy operation produces a policy document and a supervisor's memory. >ALSO INSIDE. >For CEOs, CFOs, COOs, compliance officers, collection attorneys, data analytics and product leaders, investors, and boards. This is not a book about replacing collectors with machines. It is about rebuilding the enterprise so machines handle volume, humans exercise judgment, compliance lives in the workflow, and every dollar of lift can be proven. The report is over. Build the intelligence.
Spezifikationen
Sprache
- Englisch
Autor
- Stephen A. Ogunyemi
Erscheinungsjahr
- 2026
Format
- Buch (Softcover)
Anzahl Seiten
- 544