Financial risks have nowhere to hide
Prebuilt and scalable algorithms continuously analyze all data, exposing risks through the contextual lens of an auditor, regulator, or bespoke internal controls.
Advanced machine learning
Out of the box algorithms find patterns in datasets without the need of supervision. The platform identifies data relationships and structures, surfacing patterns of unusual behavior that a human would never find.
Discover trends and risks otherwise unnoticed in your most important data, free from external influence and bias.
Process hundreds of millions of rows, offering greater risk coverage and overcoming traditional data volume challenges.
Transparent AI and clear documentation provides credible results, creating trust in your most critical financial data.
A unique ensemble AI approach
By leveraging multiple techniques simultaneously, enhance your ability to identify errors and anomalies, resulting in broader risk detection and coverage.
Traditional financial controls are antiquated and inflexible
Finance and audit teams can no longer keep up with the volume and velocity of data changes caused by digital transformation programs.
The challenge is multiplied by the ever-changing risk and regulatory compliance landscape. Companies struggle to keep up with the velocity of change.
Adaptable transaction oversight with AI-powered financial controls
Choosing MindBridge for anomaly detection offers quicker deployment, ongoing support, and proven effectiveness. This allows your team to leverage a robust, trusted solution without needing specialized machine learning expertise, enabling them to focus on higher value-added work.
Shortcomings of Traditional Approaches
1
Finance, Accounting, Operations
Errors in month-end close
Inaccurate budget forecast
Inefficient manual processes
Regulatory non-compliance
Unknown emerging risk
2
Control, SOX, Risk, Compliance, ERM
Lack of process automation
Ineffective controls testing
Subjective risk assessment
Manual control reliance
Limited scope
3
Internal audit, Investigations
Reactive IA planning
Limited detection coverage
Missed fraud indicators
Highly manual workload
Inconsistent results
Leveraging the MindBridge AI™ platform
Specify data set
MindBridge ingests complex and voluminous transactional data sources, including all relevant fields for analysis.
Pick control points
Select from a series of tests ranging from business rules, statistical models and machine learning, to combine an ensemble tailored for your specific dataset.
Analyze data
Automate the analysis of 100% of financial transaction data population, driving actionable insights to support informed decision-making and drive organizational success.
Algorithms you can trust
Ensemble AI leverages out of the box control points that combine your business rules, statistical models, and unsupervised machine learning.
Flags entries with amounts that do not align with the expected distribution of amounts.
Augmenting digital transformation
To grasp the significance of AI and ML in finance and accounting, it’s essential to understand their capabilities.
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