CredWise: A Controlled Agentic Decision-Intelligence Framework for Explainable and Auditable Credit-Risk Assessment
Factual evidence
What the source reports
Researchers introduced CredWise, a framework integrating XGBoost credit prediction, explainable AI, policy retrieval, and agent workflows.
Inspect the evidence
- Inclusion basis
- AI in finance
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 30 September 2026
- Collected by OneBench
- 1 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2609.37223v1 Announce Type: new Abstract: Credit-risk prediction is important in banking, but a prediction alone does not explain why an applicant is risky or how…
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OneBench interpretation
Institutional assessment
So what
Academic frameworks combining agentic workflows with explainable credit scoring highlight potential architectures for auditable underwriting automation.
Do what
Review the framework design with the team responsible for model risk management when evaluating agentic credit-decision architectures.