Compliance Alert Triage
Thousands of AML, fraud, and compliance alerts — classified by risk, enriched with customer context, deduplicated, and routed to the right compliance officer. Full audit trail for examiners.
Your compliance team is buried in alerts they can't keep up with
Transaction monitoring systems generate thousands of alerts every day. AML flags, sanctions hits, fraud indicators, unusual activity reports — the volume is relentless. Your compliance analysts spend the majority of their time on false positives, manually pulling customer data, cross-referencing watchlists, and documenting dispositions. The real threats don't look any different in the queue than the noise.
Alert fatigue is real. When 90% of what your team reviews turns out to be nothing, the risk of missing the one that matters goes up every day. And regulators don't accept "we were overwhelmed" as a defense. Every alert needs a documented disposition, every SAR needs to be filed on time, and every examiner expects a clean audit trail.
The data to triage these alerts already exists — customer profiles, transaction history, watchlist databases, prior case outcomes. The problem is that no analyst can cross-reference all of it fast enough to keep pace with the alert volume. That's exactly what AI was built to do.
From raw alert to disposition — automatically
Alert Ingestion
Alerts stream in from your transaction monitoring system, sanctions screening platform, fraud detection engine, and internal reporting channels. SectorFlow normalizes every alert into a common format — regardless of source — and timestamps each for regulatory tracking.
Context Enrichment
Each alert is automatically enriched with customer profile data, account history, transaction patterns, prior case outcomes, and relationship context. The AI pulls from your CRM, core banking system, and case management platform — no manual lookups required.
Risk Scoring
The AI evaluates each alert against configurable risk criteria — customer risk rating, transaction amount and pattern, geographic risk, PEP/sanctions exposure, and historical alert disposition rates. Alerts are classified as High / Medium / Low risk with a confidence score and reasoning.
Deduplication & Correlation
Related alerts are automatically grouped — multiple alerts on the same customer, linked entities, or overlapping transaction patterns are correlated into a single case. Duplicate alerts from different monitoring rules are merged, reducing analyst workload without losing any signal.
Routing & Documentation
High-risk alerts are routed to senior compliance officers with full case packages — customer profile, enriched transaction data, risk assessment, and recommended next steps. Low-risk alerts with clear false-positive indicators are documented and queued for batch review. Every decision is logged with complete audit trail for examiner review.
This isn't a dashboard — it's a compliance operations engine
Every capability your compliance team needs, built in from day one.
AML Pattern Detection
Identifies structuring, layering, round-tripping, and other money laundering typologies by analyzing transaction patterns across accounts and entities.
OFAC/PEP Screening
Cross-references alerts against OFAC SDN lists, PEP databases, and global sanctions registries in real time — with fuzzy matching for name variations and transliterations.
False Positive Reduction
Learns from historical disposition data to identify likely false positives — reducing analyst workload while maintaining zero tolerance for true positives.
SAR Preparation
Automatically assembles SAR narrative drafts with supporting transaction data, customer context, and risk indicators — ready for analyst review and filing.
Audit Trail
Every decision the AI makes — risk score, routing logic, data sources accessed, enrichment results — is logged and available for examiner review and regulatory audit.
Risk Scoring
Configurable risk scoring engine that weighs customer risk rating, transaction characteristics, geographic exposure, and behavioral patterns to prioritize analyst attention.
Connects to the systems you already run
Splunk
ServiceNow
Salesforce
Okta
Don't see your compliance platform? We integrate with any system via API. Talk to us.
What compliance teams are seeing
False positive reduction
Avg. triage time
Audit trail coverage
Based on pilot deployments. Your results will depend on alert volume, rule complexity, and system configuration.
"Our analysts were spending 80% of their time on false positives — pulling customer data, cross-referencing watchlists, documenting dispositions for alerts that went nowhere. Now the AI handles the enrichment and risk scoring before an analyst ever touches it. False positive review time dropped by 87%, and our team can finally focus on the alerts that actually need investigation. The audit trail is examiner-ready from day one."
— BSA/AML Director, Regional Bank
Frequently Asked Questions
See What AI-Powered Compliance Triage Looks Like for Your Team
Book a 30-minute discovery call. We'll walk through the Compliance Alert Triage flow with your alert data and your risk rules.
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