Agentic AI in Financial Industry Literature Review Dataset

This dataset aggregates academic and industry literature on agentic AI applications in finance, featuring 50+ annotated papers with key themes, methodologies, and implementation challenges. It provides a structured foundation for analyzing autonomous AI systems in trading, risk management, and regulatory compliance.

Use Cases

• Systematic review of agentic AI adoption barriers in finance
• Benchmarking agent architectures across financial use cases
• Training domain-specific LLMs on financial compliance tasks

Strengths

• 50+ annotated papers with structured extraction
• Covers key financial domains: trading, risk, compliance

Limitations

• Static snapshot from 2026
• Relies on publicly available literature only
• No proprietary financial data included