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ML Audit Intelligence
Finding Severity Classifier.
Score any audit observation across four empirical risk dimensions. Powered by a client-side logistic regression model trained on 81 expert scenarios to generate an IIA-aligned severity verdict and board-ready reporting draft.
Model coefficients evaluate directly in client memory without third-party API dependencies. No finding text or scores leave your machine.
Interactive Classification
Select finding attributes.
The model analyzes parameter interactions to classify findings into Low, Medium, High, or Critical.
Financial Exposure
How significant is the financial impact relative to the size of your organisation?
Likelihood / Frequency
How often has this control failure occurred, or how likely is it to recur?
Detection Difficulty
Would management or existing controls catch this failure without a formal audit?
Affected Scope
How widely does this issue affect the organisation?
This tool runs entirely in your browser. No data is transmitted or stored.
Select all four risk dimensions above to compute severity classification
Methodology & Rubric
Severity classification bands.
Low
Monitor and track. Routine follow-up in regular audit cycle.
Medium
Agreed remediation plan with designated departmental ownership.
High
Prompt senior management escalation. Root cause analysis required.
Critical
Immediate Audit Committee & Board notification required.