Detect Fraud Activities in Any Document

Document types supported include PDF, PNG, JPG, HIEC.

Yes. Thresholds, risk rules, auto‑fail triggers, and document categories can all be customised for enterprise users.

In internal testing, our verification checks achieve 98–99% accuracy on valid, high-quality documents, based on the information that can be reliably extracted from the file. Actual accuracy may vary depending on factors such as document quality, image resolution, completeness, formatting, and the extractability of the source data.

If the document quality falls below the threshold required for reliable analysis, we flag the file and provide clear feedback on the issue, allowing users to upload a higher-quality version. This approach helps ensure that verification results remain accurate, reliable, and transparent.

Most fraud checks are completed in under 30 seconds, providing fast and reliable results without disrupting workflow. Processing times may vary based on document complexity, file size, and document type. For larger or more complex submissions, including document sets of 50+ pages, our platform leverages parallel processing to maintain efficient turnaround times and deliver results as quickly as possible.

Fraud Check AI combines both static and dynamic fraud detection to provide comprehensive document verification.

Static checks are applied across all document types and assess a file’s integrity at multiple levels, including its structure, metadata, and underlying raw file components. These checks help identify signs of tampering, manipulation, anomalies, or inconsistencies that may indicate potential fraud.

For supported document categories, dynamic checks provide an additional layer of analysis tailored to specific use cases. These category-specific validations examine patterns, data relationships, and contextual indicators to detect more sophisticated forms of fraud with a higher degree of precision.

Together, these checks deliver a robust fraud detection framework that helps organisations identify both common and advanced fraud risks with confidence.

Yes. We offer REST APIs, webhooks, batch processing and portal-based workflows. Integration typically takes 24–72 hours.

Every document receives a fraud score along with a detailed breakdown of the anomalies detected, their severity, and the supporting evidence. The final fraud verdict is computed based on:

• • The types of anomalies detected
  • Their severity
  • The number of high-risk patterns
  • The consistency between static and dynamic checks
  • Any corroborating structural or visual red flags

The assessment reflects both the likelihood of manipulation and the potential impact of detected issues.

Yes, some highlighted anomalies are supported by visual cues, including:

• • Annotated overlays on the document
  • Highlighted regions of concern
  • Side‑by‑side inconsistencies
  • Marked spelling or formatting inconsistencies

This makes manual review efficient and transparent.

Yes. Fraud Check AI is designed with a continuous learning and feedback framework that helps it stay effective as fraud tactics evolve.

The platform continuously refines its detection capabilities by adapting to emerging fraud patterns, optimising risk indicators, and improving model performance to minimise false positives while maintaining high detection accuracy.

In addition, the portal includes a user feedback loop, allowing users to flag incorrect results, provide contextual insights, and submit feedback on specific cases. This feedback is incorporated into ongoing model and rule enhancements, enabling the system to learn from real-world outcomes and deliver increasingly accurate and reliable fraud detection over time.

When a document is flagged, Fraud Check AI generates a comprehensive fraud assessment report that clearly explains the findings. The report includes the specific checks that triggered alerts, an overall fraud risk score, and an annotated document with visual highlights showing areas of concern. Detailed explanations are also provided for any detected anomalies, inconsistencies, signs of tampering, or other fraud indicators.

Designed to be both transparent and actionable, the report enables users to quickly understand the underlying risk, review the supporting evidence, and make informed decisions. Whether the next step is approval, further investigation, or escalation for manual review, the insights provided help streamline the decision-making process with confidence.