VENDOR ANALYSIS
Keep third party transactions under control with AI
Examine all vendor data to identify unusual patterns across users, contractors, companies, and other categories used in your business.
MindBridge AI™ for vendor data
Provides actionable insights and comprehensive risk assessments across all transactional data, improving decision-making, resource allocation, and business outcomes.
Identifies hidden risks, fraud, and compliance issues using advanced algorithms, ensuring thorough and accurate transaction oversight.
Automates routine tasks and streamlines processes, reducing manual effort and time spent, allowing professionals to focus on more complex and strategic work.
Increase visibility and build risk resiliency
Anomaly detection
identifying irregularities and insconsistencies which may indicate potential fraud or errors, ensuring the accuracy and integrity of financial data.
Configureable analysis
Configurable libraries based on industries enable the building of business rules and addition of fields to support customizable analysis.
Risk scoring
100% of transactions are scored and organized based on the underlying advanced data analytics.
Documented results
Auto-generated reports based on dashboards and data exploration provide streamlined documentation for reporting.
Trend analysis
Trending visualizations enable period-over-period analysis based on activity, with the capability to dynamically filter using various fields.
Why audit and finance leaders utilize MindBridge payroll risk analytics
Anomaly detection
identifying irregularities and insconsistencies which may indicate potential fraud or errors, ensuring the accuracy and integrity of financial data.
Risk scoring
100% of transactions are scored and organized based on the underlying advanced data analytics.
Data exploration
No scripting or formulas are required, making data exploration easy and user-friendly. Filtering capabilities allow for the handling of more complex tests, supporting nuanced financial analysis.
Risk segmentation
Targeted risk discovery, offering a dynamic and comprehensive view of risks within transactions across various operational aspects and risk drivers.
Prior period comparisons
Changes over periods are flagged based on analyzing transactional structures, risk levels, volume, and monetary value.
Configureable analysis
Configurable libraries based on industries enable the building of business rules and addition of fields to support customizable analysis.
Documented results
Auto-generated reports based on dashboards and data exploration provide streamlined documentation for reporting.
Trend analysis
Trending visualizations enable period-over-period analysis based on activity, with the capability to dynamically filter using various fields.
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AI-Powered Vendor Risk Discovery
Read more to learn about how you can simply the process of managing third party risks.