AIF for monitoring investigates the full spectrum of alerts, from routine false positives to complex multi-entity scenarios, with consistent, audit-ready outcomes.
Pattern recognition
Detects structuring, smurfing, velocity spikes, and behavioral anomalies across the full transaction history.
Network and multi-hop analysis
Traces funds across accounts, entities, and hops. Maps relationships and uncovers clusters missed in single-alert reviews.
Data source synthesis
Combines transactions, customer and counterparty data, screening, web, and open-source signals into one investigation.
Complex scenario handling
Handles layered investigations involving multiple typologies, high-volume corridors, and overlapping risk signals in a single pass.
SAR narrative generation
Generates structured SAR narratives with pre-filled fields and consistent logic, ready for human review and approval before filing.
No-limits SOP compatibility
Works with any SOP across jurisdictions, complexity levels, and institution types, without predefined templates.
Web and social intelligence
Integrates web and social signals into investigations to validate entities, detect adverse media, and surface real-world risk indicators.
AI Forensics investigates transaction monitoring alerts across typologies, aligned with the requirements of the world’s most demanding authorities.
“Flagright has made our compliance program feel structured and scalable, not reactive… while letting us manage multi-jurisdiction requirements with clean rule separation and reporting that aligns with local data obligations… enabling faster reviews, clearer oversight, and a program we can run with confidence.”
Choose how AI Forensics for monitoring investigates and acts on transaction monitoring alerts, from silent evaluation to full automation.
“The implementation of Flagright's AI-driven solution in our compliance transaction monitoring system has significantly improved both efficiency and accuracy in handling alerts. With the AI, we have almost completely eliminated the time spent creating narratives, as it can generate them accurately in seconds and we can focus solely on our review. “
Assign to Human or Agent
Assign actions to analysts or
AIF agents in any workflow step.
Self-serve workflows
Build complex workflows on a no-code, unified canvas.
Full funnel coverage
Handle alerts, cases, & escalations through one integrated stack.
Dynamic routing
Route work automatically based on risk scores or team capacity.
Their platform is built specifically for financial crime compliance, so it covers AML, CFT, and sanctions screening thoroughly. Automation of routine tasks (like transaction monitoring) saves significant manual effort.
Annotated transaction timeline
Every investigation includes a chronological timeline with risk signals annotated at each step, showing what was identified and when.
Typology match citation
Each conclusion cites the matched typology and the rule logic that triggered the decision. No black box outcomes.
Confidence score & reasoning
Every recommendation includes a confidence score with key factors, providing reasoning that analysts can review and auditors can verify.
Version control & export
Every decision is tied to a specific model version. Export audit logs in JSON or Excel for regulatory submission.
Complete control over data
Zero data persistence ensures complete control over sensitive information.
Privacy-first approach
Customer data is never used to train external models, guaranteeing privacy and trust.
Regulatory aligned
Deployments that ensure no PII data persistence, maintaining real-time processing and compliance.
Military-grade encryption
All data is encrypted using military-grade protocols both in transit and at rest.
