Inscribe

Inscribe is an AI powered platform that detects document fraud in financial services by using advanced agents to analyze documents in real time. It focuses on identifying forged and AI generated files through examination of formatting, structure, metadata, and contextual elements. The tool automates manual review processes, enabling risk teams to make faster decisions on onboarding and underwriting. Its AI agents cross reference data across multiple documents and validate against public sources to uncover hidden inconsistencies. This capability addresses the rising challenge of document fraud, which has increased significantly due to generative AI tools.

Key features include the AI Generated fraud signal, which scans for digital signatures and patterns indicative of synthetic documents. The system processes millions of applications annually, drawing on data from since 2017 to enhance its detection accuracy. Users can customize decision engine rules to flag specific issues like out of date statements or flattened PDFs. Integration occurs via APIs, allowing seamless incorporation into existing workflows. Compared to competitors such as Resistant AI and Ocrolus, Inscribe emphasizes specialized document analysis for fintechs and lenders.

The platform offers a free trial for initial testing, with subscription plans that scale based on needs, including a Pro tier for advanced risk insights. It reduces application processing time by substantial margins, as evidenced by customer metrics showing millions in prevented losses. Recent updates in 2025 include enhanced detectors for template based fraud and global search functionalities. The tool supports multilingual document classification using generative AI, broadening its applicability. Customer stories from entities like Plaid and Ramp highlight its effectiveness in operational efficiency.

Potential drawbacks include dependency on ongoing model training to counter evolving threats. The system excels in financial documents but may require adjustments for other types. It provides actionable recommendations through its AI Fraud Analyst agent, which streamlines investigations. Security measures ensure data privacy during analysis. Overall, it delivers high accuracy in fraud detection, with reports indicating significant reductions in review escalations.

For implementation, start with assessing document volumes and fraud exposure. Use the document collection portal to streamline submissions. Monitor performance through built in analytics to refine rules over time. Regular updates from the vendor keep the tool current with industry trends.