Description
Roe is an agentic investigation platform designed to streamline fraud and Anti-Money Laundering (AML) processes. It addresses the current challenges faced by risk teams, who are often caught between the escalating costs and declining quality of outsourcing, and the limitations of rule-based systems that miss emerging typologies. Roe offers a solution by deploying AI agents that conduct end-to-end investigations for fraud, disputes, and AML cases.
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The platform operates on a continuous loop, where each case review refines future investigations. When a case arrives from any source system, such as disputes, chargebacks, or AML alerts, Roe's AI agents investigate by meticulously following your Standard Operating Procedures (SOPs) line by line. Each step is validated against the evidence pulled by Roe. Human Quality Assurance (QA) analysts then review edge cases, and their corrections are incorporated into Roe's memory for future cases. When a customer responds to a disposition, Roe's support agent drafts the next step based on the case file. Crucially, every disposition and correction feeds back into your rules and Machine Learning (ML) models, ensuring your detection systems remain current with actual typologies.
Roe integrates seamlessly with your existing technology stack, acting as a layer rather than a replacement. It reads data from your data warehouses and risk data providers (including sanctions, PEP, adverse media, KYC/KYB, business filings, and credit signals) and posts back to your case management systems, CRM, and operational tooling. For systems without APIs, Roe functions as a browser agent, capable of operating on legacy consoles and partner portals. This approach ensures the same investigation process and audit trail without significant integration effort.
The platform has demonstrated significant outcomes in regulated production environments. Key performance indicators include 86% day-one accuracy on production cases, a 75% cost reduction compared to offshore fraud operations, and a 91% faster time-to-disposition. Roe is trusted by financial institutions, including card networks, BNPL leaders, marketplaces, and crypto-native compliance teams, where alert volumes and regulatory stakes are high. Roe is built for investigation, not just summarization, reading structured and unstructured evidence, following SOPs, and producing cited dispositions that are defensible and auditable.
- CategoryFraud Detection
- Pricing ModelContact sales
- DeploymentSingle-tenant VPC (AWS, GCP, Azure), On-premise
- PlatformsWeb
Roe: Agentic Fraud and AML Investigation's Core Features
AI agents for end-to-end fraud and AML investigations
Reads data from various sources including data warehouses and risk data providers
Follows user-defined Standard Operating Procedures (SOPs)
Cites evidence for every investigative step
Human QA review loop for continuous refinement
Automated drafting of customer responses and appeals
Disposition feedback loop to retune rules and ML models
Browser agent capability for systems without APIs
Integration with existing case management, CRM, and operational tooling
Produces audit-ready dispositions
Multimodal data reasoning across structured, unstructured, and web data
Versioned policies and prompts with git-tracking
How to use Roe: Agentic Fraud and AML Investigation?
Connect Data Sources: Integrate Roe with your existing data warehouses, risk data providers, and case management systems.
Configure SOPs: Define your fraud and AML investigation workflows and standard operating procedures within the platform.
Deploy AI Agents: Initiate investigations for incoming fraud, dispute, or AML cases.
Review & Refine: Human analysts conduct QA reviews on edge cases, providing feedback to refine agent performance.
Monitor Dispositions: Track the outcomes of investigations and ensure they meet QA, partner bank, and examiner sign-off.
Optimize Detection: Leverage disposition data to continuously retune your rules and ML models.
Roe: Agentic Fraud and AML Investigation's Use Cases
- Fraud Investigation
- AML Compliance
- Dispute Resolution
- KYB/KYC Review
- Risk Operations Scaling
- Typology Detection
- Audit Trail Generation
