Banking AI Literature Mapper

Build a source-grounded map of banking and fintech AI methods, successful cases, datasets, benchmarks, and evaluation practices.

The goal is to help an industry R&D team justify solution directions with credible precedent while staying honest about transfer risk, regulatory constraints, and data differences.

When to use this skill

Use this skill when the user asks for:

• prior successful AI/ML cases in banking or fintech;
• papers supporting a banking solution proposal;
• method options for credit, fraud, AML, customer, document, compliance, or operations problems;
• evaluation benchmarks or datasets for banking-like tasks;
• a literature-backed internal R&D proposal.

If the user asks for a broad non-banking research survey, use literature-triangulation. If the user needs a final solution design, use publication-grounded-solution-design after mapping sources.

Workflow