For more than two decades, credit scoring has been the dominant paradigm in credit decisioning. It transformed consumer lending by distilling complex financial behaviour into a single predictive metric that lenders could use to make rapid decisions at scale. Yet commercial finance has never experienced the same transformation.

The reason is simple: commercial lending is fundamentally different. Businesses are not homogeneous entities like consumers. They range from sole traders to multinational groups, operate in vastly different industries, and seek financing structures that vary widely in purpose, scale and complexity.

The next transformation in commercial credit assessment will not come from better scores. It will come from agentic AI – systems capable of reasoning across multiple forms of data and contextualising risk signals in ways that resemble how experienced underwriters think.

Rather than replacing human judgement, agentic AI will augment it. It will provide underwriters with the analytical depth of large-scale data processing combined with contextual reasoning that avoids the blunt simplifications of traditional scoring.

This Insights Report provides a roadmap to how agentic AI can be adopted – not sometime in the future but today.

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Author

Katrin Herrling
Katrin Herrling
CEO and Co-Founder - FXE Technologies