Banking beyond automation

The conversation around AI in banking is moving from automation to autonomy. As agentic AI systems learn, reason and act independently, financial institutions must reconsider everything from operating models to customer service.

 

Drawing on insights from McKinsey, Gartner and the World Economic Forum, this whitepaper explores how banks can build the architecture for intelligent banking, manage emerging risks and develop adaptive operating models to stay competitive in an era of autonomy.

 

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Financial institutions face compounding pressures: from tightening margins, complex regulations and intense competition. In this environment, agentic AI is a critical lever for resilience and reinvention. Our whitepaper, Banking beyond automation, explains why this shift to autonomous systems is a strategic necessity for building the intelligent, adaptive bank of the future.

Summary

This whitepaper examines the shift from AI-driven automation to agentic autonomy in financial services. It outlines the architectural foundations and human-in-the-loop governance required for this new era of intelligent banking, offering a strategic guide for moving from isolated experiments to enterprise-wide transformation.

The shift from generative AI to agentic systems is a turning point for how banks define themselves. With Gartner forecasting that over 80% of enterprise workflows will be powered by agentic systems by 2030, architectural and operational readiness has now become a strategic necessity.

This whitepaper provides a blueprint for that transition, outlining how to build a modular architecture and foster co-creation in an adaptive operating model. The paper also spotlights Kuro, our intelligent agent designed to accelerate financial product creation through natural language. 

Download the whitepaper to learn how to build the intelligent and human-centered bank of the future.



Learn more about our vision for the future on our Agentic Banking page.