Artificial Intelligence Enables Banks to Modernize Legacy Systems
AI agents and coding tools are building new bridges between legacy infrastructure and modern applications in the banking sector.
Artificial intelligence technologies are expanding infrastructure modernization options by opening new pathways of connection between banks' existing legacy systems and modern applications.
The Role of AI Agents in Banking
AI agents can retrieve information from banking systems, invoke software functions, and complete specific parts of workflows. Meanwhile, coding agents help engineers understand and modify software that connects old and new systems.
API Integrations and Model Context Protocol
Banking technology providers are making APIs and core functions accessible to AI agents. The Model Context Protocol (MCP) offers a new way for agents to discover existing functions and understand how to use them.
Computer Use and the Transformation of Legacy Systems
Computer use technology allows agents to navigate software through the interfaces used by employees. This provides access even to applications that have not been fully exposed via APIs.
Financial Institutions' AI Adoption Rates
Research shows that major financial services firms have largely integrated AI tools into their data and technology processes. However, obstacles such as data quality and fragmentation complicate the integration process.