The Risk AI Agent module adds Risk AI Agent, Incode's intelligent fraud decisioning system, to a verification session. It evaluates signals from across the session and produces a more accurate pass/fail decision than set thresholds or custom rules.
Integrations
:white_check_mark: iOS | :white_check_mark: Android | :white_check_mark: Web SDK
How It Works
Risk AI Agent runs as a Process node in a Flow or Workflow. It is designed to be placed at the end, after upstream modules, such as ID Validation, have produced their outputs. Because Risk AI Agent evaluates all available session signals holistically, it performs best when those signals are already present. Adding it mid-flow, before enough signal has been generated, can produce unreliable results.
When Risk AI Agent runs, it replaces the legacy TotalScore model as the final session decision mechanism. Rather than returning a numeric score, it outputs a pass/fail result directly. Single Session view shows the Risk AI Agent pass/fail decision and the top 3 contributing signals for that session.