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Real-time risk decision

As explained in Financial AI in Practice

The process of evaluating a transaction and determining whether to approve, decline, or challenge it while it is being initiated.

A real-time risk decision evaluates a transaction as it is initiated and routes it to an immediate action. This enables instant payments while preserving fraud controls. section 1.3.3 section 7.4.5

For an immediate payment, scoring and strategic thresholds guide the system to:

How Financial AI in Practice covers it

How deep it goes
Traces rapid scoring through threshold-based actions, but does not detail model construction or scoring implementation.
Examples
Uses instant payouts for Uber drivers and immediate card or digital-wallet payments as decision scenarios.
What you can do after
Operate transaction controls by directing payments to approval, decline, or customer challenge.
How it connects
Links fraud detection with embedded finance, model serving, payment gateways, and step-up authentication.
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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Financial AI in Practice. The section links point to the parts of the book it draws on.