What is Fraud Check AI and how does it work?
Fraud Check AI is an advanced document integrity and fraud detection solution that analyses digital documents to identify tampering, manipulation, and inconsistencies. It uses a combination of structural analysis, machine learning, and visual anomaly detection to ensure businesses can trust the authenticity of documents submitted by customers during payment processes, onboarding, lending, KYC, compliance processes and any other process that requires authentic or verifiable documents.
What document types Fraud Check AI supports?
Document types supported include PDF, PNG, JPG, HIEC.
Can you customise the checks to our risk policies?
Yes. Thresholds, risk rules, auto‑fail triggers, and document categories can all be customised for enterprise users.
How accurate is your fraud detection?
How fast are fraud checks performed?
What kind of checks does Fraud Check AI perform?
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.
Can this integrate into our existing workflow?
Yes. We offer REST APIs, webhooks, batch processing and portal-based workflows. Integration typically takes 24–72 hours.
How is the score and final Verdict assigned to the documents?
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:
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- 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.
Does Fraud Check AI provide visual evidence for human review?
Yes, some highlighted anomalies are supported by visual cues, including:
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- 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.
Does Fraud Check AI improve over time?
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.
What happens if a document is flagged as suspicious or potentially fraudulent?
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.
