Bank of Communications
Enterprise AI agent assistants for banking workflows
Bank of Communications reported deploying more than 2,500 AI agent assistants
Problem
Bank of Communications sought to reduce manual work in banking workflows and make AI capabilities available to business departments.
Approach
The bank built an enterprise agent platform that supplied model capabilities to internal applications. Its chief information officer said assistants supported retail and inclusive finance, risk and credit work, and operational customer service. The bank also introduced model classification and evaluation controls.
Results
Takeaway
A shared platform supported deployment across departments. The assistant count measured deployment scale rather than a consistent productivity gain per assistant.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- Internal work and knowledge managementFinance, risk and legal
- Innovation type
- Process innovation
- AI technology
- Generative AIAI agents
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Sina Finance reported chief information officer Qian Bin's statements at the bank's annual results presentation. He described an enterprise agent platform and said more than 2,500 assistants had been deployed.
Full details are in the original sources.