Item: MindBridge Platform
Rating: 10
Author: Emily Jordan

Use Cases and Deployment Scope

Currently, MindBridge Ai Auditor is being used by the audit department with the aim to improve audit quality by enabling audit teams to analyze and visualize clients' data in a more sophisticated manner, especially where there is a high volume of data.

Pros and Cons

Discovering and analysing patterns
Identifying anomalies
Extracting other useful information in data underlying the audit through analysis, modeling, and visualization

Improve ease of use through an increased number of courses on the academy
Potential to connect directly to clients' accounting system rather than having to obtain the data
Increased analysis functions and ways to display data patterns

Return on Investment

Increased efficiency
Better quality audits performed
Coming to more reasoned conclusions that are supported by data

Key Insights

Do you think MindBridge Platform delivers good value for the price?

Yes

Are you happy with MindBridge Platform's feature set?

Yes

Did MindBridge Platform live up to sales and marketing promises?

Yes

Did implementation of MindBridge Platform go as expected?

Yes

Would you buy MindBridge Platform again?

Yes

Likelihood to Recommend

MindBridge Ai Auditor is very useful in an audit where there is a high volume of data. It enables the team to analyze and visualize the data in a more sophisticated manner than would be possible by manual review and standard sampling techniques.

MindBridge Ai Auditor works best when the client is using a standard accounting software and the data is stored in the appropriate format used for MindBridge analysis. When the data is from a different type of system however, the MindBridge data team is able to assist us in formatting the data either through pointing in the direction of courses on the academy or, in more complex situations, formatting the data for us.

Very useful in audits of high volumes of data

Overall Satisfaction with MindBridge Ai Auditor