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This paper introduces DebtBench, the first persona-enriched benchmark for debt collection negotiation, and DebtGPT, a debt collection agent that jointly optimizes financial recovery and interaction experience. Experiments show most LLMs struggle in this realistic scenario, while DebtGPT matches GPT-4o performance.
A report highlights that 56% of small businesses are currently owed money, yet there is a lack of automation tools specifically designed to handle collections for them.
AI is increasingly being used in debt collection, with automated agents like ProCollect's Eve calling debtors, offering efficiency and scale, but also raising concerns about job displacement and interaction quality.
The author argues that AI agents are rapidly approaching the capability to function as fully autonomous debt collection employees, leveraging existing infrastructure like LLMs and automation tools.