Introduction
Banking was one of the first industries to adopt artificial intelligence and is now among the fastest to bring in agents: systems that serve customers, review documents, detect fraud and carry out tasks inside the core. The question is no longer whether to use them, but in which processes and with what level of autonomy.
Our team gathered technical and functional information to help you prioritize use cases, design the architecture and meet the sector's regulatory requirements.
In this whitepaper we will cover:
How banks are using AI agents
Use cases in service, operations and risk
Levels of autonomy based on each case's risk
Architecture, regulation and factors for getting started
We invite you to read the document and to contact us with any questions you may have.
