RESEARCHMonitorWATCHLIST
Helping Customers in Distress: An LLM-powered Agent that Converses, Probes, and Routes
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers developed an LLM-powered conversational agent to automate multi-turn customer fraud and dispute triage for retail banking.
Inspect the evidence
- Inclusion basis
- AI in finance
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 24 September 2026
- Collected by OneBench
- 25 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2605.16268v2 Announce Type: replace-cross Abstract: Banks receive millions of reports of fraud, scams, and disputed transactions every year, making it challenging to accurately direct customers…
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