Finance
Covers core finance scenarios such as credit risk control, anti-fraud, research report generation, and regulatory reporting; designed around finance regulatory requirements, supports on-prem and local models.
Industry challenges
- Credit risk rules lag behind
- Anti-fraud accuracy vs false positive hard to balance
- Research report writing is time-consuming, analyst throughput limited
- Regulatory reporting has many dimensions, low automation
- Strict data security and compliance requirements
Agent-User solutions
Smart risk control agent
Combines rule engine + ML models + LLM semantic analysis to identify fraud, cashing out, and false applications.
Research report assistant
Data collection + chart generation + writing all automated, supports analyst prompt adjustment and manual review.
Regulatory reporting
EAST / 1104 / Unified Reporting regulatory reports auto-generated, with automatic consistency checks.
Local private deployment
Models and data can remain within the financial institution's intranet by project configuration, designed around PIPL, DSL, and Financial Data Security Standards requirements.
Agents involved
Case study note
Applicable to state-owned big banks, joint-stock banks, city commercial banks, brokerages, and insurance institutions.
Want to deploy in this industry?
We provide industry solution design + POC validation + go-live accompaniment end-to-end service.