inscribe.ai
Inscribe leverages AI technology to identify document fraud and streamline risk assessment processes during onboarding.
About inscribe.ai
Inscribe employs advanced machine learning and AI Risk Agents to detect sophisticated document fraud and mitigate risks during onboarding and underwriting. It automates manual tasks related to fraud detection, credit evaluation, and compliance, enabling faster application processing. Key features include AI Fraud and Compliance Analysts, network-based risk detection, metadata analysis, natural language summaries, risk scoring, web research, and powerful parsing capabilities to enhance accuracy and efficiency.
How to Use
Gather required documents, utilize AI-driven tools to perform fraud and compliance checks, and optimize your risk management with advanced analytics and automation.
Features
- Network analysis and metadata insights for fraud detection
- AI Risk Agents streamline onboarding and underwriting
- Sophisticated parsing and natural language understanding
- AI Fraud Analyst identifies hidden document fraud
- AI Compliance Analyst (Beta) enhances KYB verification
- Web-based research to verify information
- Automated risk scoring and detailed summaries
Use Cases
- Optimizing onboarding workflows
- Accelerating underwriting procedures
- Automating fraud detection processes
- Enhancing compliance verification
- Streamlining credit analysis and risk assessment
Best For
Pros
- Enhances accuracy in detecting document fraud
- Certified with SOC II and ISO27001 for security
- Reduces application processing time
- Provides actionable insights for risk strategies
- Automates repetitive tasks, freeing staff resources
Cons
- Some features may still be in beta and limited
- AI reliance requires ongoing validation and monitoring
- Integration with existing systems may be necessary
- Potential bias if AI models are not properly trained