Risk and compliance operations that finally scale.

AI agents that automate fraud, AML, and compliance investigations, plugging directly into your existing stack.

Manual workflows
autonomous investigations.

AI agents that eliminate manual triage, unify fragmented context, and deliver decisions in minutes with full auditability.
Legacy
Traditional risk ops
Excessive manual reviews
Context scattered across multiple tools and systems
Repetitive investigations without tight feedback loops
Analysts swivel across 5–10 tools for context
Modern
Roe risk ops
Automatically clears false positives and surfaces real risk
Brings transactions, sessions, KYC, call logs into one view
Decisions in <2 minutes with transparent reasoning
Learns from analyst feedback to improve accuracy over time

Every workflow. One workspace.

Fraud Ops
Analyze account and transaction history to surface anomalies
Detect device fingerprinting and behavioral patterns that indicate fraud
Cross-reference transactions against fraud databases and watchlists
Review customer support conversations for abuse signals
Merchant Underwriting
Verify merchant identity and business legitimacy
Validate ultimate beneficial owners and corporate structures
Detect laundering patterns and risky product mixes
Check business details against public records
AML Investigations
Review sanctions and adverse media hits to eliminate false positives
Auto-generate draft SARs with evidence summaries
Trace transaction chains to identify suspicious patterns
Compile evidence and maintain audit trails
Disputes & Chargebacks
Gather evidence from support tickets and account history
Analyze chargeback codes and issuer requirements
Assemble evidence packages for issuer submissions
Recommend decisions with win probability estimates
Listing Compliance
Flag prohibited and regulated products across listings
Analyze descriptions and images for policy violations
Review seller history to identify repeat violators
Reduce false removals with context-aware policy decisions
Fraud Ops
Analyze account and transaction history to surface anomalies
Detect device fingerprinting and behavioral patterns that indicate fraud
Cross-reference transactions against fraud databases and watchlists
Review customer support conversations for abuse signals
Merchant Underwriting
Verify merchant identity and business legitimacy
Validate ultimate beneficial owners and corporate structures
Detect laundering patterns and risky product mixes
Check business details against public records
AML Investigations
Review sanctions and adverse media hits to eliminate false positives
Auto-generate draft SARs with evidence summaries
Trace transaction chains to identify suspicious patterns
Compile evidence and maintain audit trails
Disputes & Chargebacks
Gather evidence from support tickets and account history
Analyze chargeback codes and issuer requirements
Assemble evidence packages for issuer submissions
Recommend decisions with win probability estimates
Listing Compliance
Flag prohibited and regulated products across listings
Analyze descriptions and images for policy violations
Review seller history to identify repeat violators
Reduce false removals with context-aware policy decisions
5x
More accurate than a human
10x
Faster than your current workflow
1/8
Cost of your current setup
Table listing four checks: Geo-velocity with a red cross and note '+2,500mi > 5 min' from Sardine; Device consistency with a red cross and 'New Android device' from Sardine; Transaction behavior with red cross and '$1,239 / 5 min' from Roe; Email verification with green check and 'Verified 94 days ago' from Persona.
Explainable decisions
Each case includes a clear reasoning trail, showing how data was analyzed, which SOPs were followed, and why a conclusion was made.
Dashboard table listing unresolved cases with status icons, including account takeover fraud and suspicious transactions.
Autonomous research
Let our agents run queries and explore patterns without you having you to direct them.
Dashboard section titled 'Card not present fraud' showing status as active, assigned to 4 agents, and owned by user, with SOP logic description for identifying and resolving alerts on fraudulent Card-Not-Present transactions.
Understand unstructured data
Chat with your data. Extract context from PDFs, call transcripts, or notes without sifting manually.
Table showing account activity with columns for Date, Method, Amount, and Status, listing transactions from 9/9/2025 to 9/11/2025 including credits and debits with statuses Pending and Complete.
Human accuracy. Superhuman speed.
Roe agents triage alerts, eliminate 90% of false positives, and learn continuously from analyst feedback.
thumbnail of ebay case study
eBay uses Roe to tag 1M+ fraudulent listings annually, reducing costs by 80% and enabling case reviews 11 times faster.
70,000
Fewer inaccurate cases
11x
Faster case reviews
80%
Cost reduction
Icon of an eye with a diagonal slash through it, representing hidden or invisible.
Zero data-training
We never use your data to train our models, ensuring complete confidentiality.
Black circular arrow pointing upward and fading at the edges.
Flexible deployment
Deploy in your cloud, on-premises, or in a dedicated VPC to meet your security requirements.
Circular arrow pointing upwards with fading segments indicating progress or upload.
Complete audit trails
Every decision includes a detailed reasoning trail showing how conclusions were reached.
Icon of three user figures arranged in a triangular formation.
Role-based access control
Granular permissions ensure team members only access data relevant to their role, reducing insider risk.
Step into the new era of risk ops.
Transform how your team detects, investigates, and acts on risk.
Faster, smarter, and with full transparency.
Schedule a demo