🏦 Agentic AI in Banking: A Strategic Playbook
Description
Implementing agentic Artificial Intelligence (AI) within the banking sector, defining it as a fundamental shift from reactive tools to proactive, autonomous economic actors capable of complex, multi-step execution. This technology promises substantial efficiency gains, such as 200% to 2,000% productivity gains in back-office functions like Anti-Money Laundering (AML), and enables "Proactive Personalization" for customers. However, the report stresses that banks face an existential threat from non-adopting, as third-party AI agents will optimize away core profits (the "End of Inertia" thesis), necessitating a transformation that involves re-architecting business processes and reskilling the human workforce to act as supervisors and orchestrators of the new autonomous digital agents. Furthermore, institutions must govern first by adopting specialized frameworks to manage new risks, including "black box" explainability failures and the "autonomous insider" threat.
United States
