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MindBridge score for general ledger analyses

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Learn about the MindBridge score and how it is calculated in general ledger analyses.

What is the MindBridge score?

MindBridge uses various combinations of control points to analyze your financial data for anomalies and risk. Each control point runs tests on the entries and transactions in the ledger and provides a weighted score of risk. 

The MindBridge score is derived from the results of all entries and transactions in the dataset, based on a weighted average of the results (using the full collection of control points for the analysis type).

Transactions with higher risk scores are more likely to be of interest during audit scenarios. A transaction may receive a higher score if:

  • The transaction triggered several transaction-level control points
  • The transaction contains entries that triggered several entry-level control points
  • The transaction triggered a single control point that's heavily weighted

Levels of analysis

Control points can analyze:

  • Line items (monetary value)
  • Transactions (a collection of line items)
  • Flows (the movement of money between accounts — see Understanding monetary flows)

Line items

When analyzing individual line items, the MindBridge score is calculated as follows:

  1. The score of each triggered control point is multiplied by the control point’s weight.
  2. The individual triggered control point scores are also summed up into a single score.
  3. This sum is then divided by the total potential weight of all control points (as customized by your App Admin or library default).


The same set of calculations are applied to transactions, with some minor differences.

Each line item inherits the transaction’s score. For example, if a transaction triggers the Duplicate control point, each line item in the transaction inherits that Duplicate score.

However, control point scores given to individual line items are not promoted to the transaction. Instead, only the highest score for each triggered control point is promoted. For example, if a transaction contains 3 line items that trigger Unusual Amount, with scores of 20, 30, and 55, the transaction is given an overall Unusual Amount score of 55.

If a transaction contains any of the following...

  • A round monetary value
  • A high monetary value
  • A weekend posting
  • Other major anomalies

...then this method will highlight any transaction with multiple anomalies, whether they occur in the same line item or not.


When analyzing a monetary flow, each line item inherits the flow’s score, similar to transaction scores. 

There are exceptions to this; in some cases, single line items may inherit scores from more than one flow.

Transactions with a many-to-one flow (a transaction containing a $100 debit, with an $80 and $20 credit) is an example of this. The $100 debit will have 2 associated flows: for $80 and for $20. In the case where a line item inherits scores from 2 or more flows, the line item will inherit the maximum flow score.

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