Configure screening scenarios using natural language-based prompts.
Test screening rules against historical screening match activity safely.
Validate screening
behaviour silently before live rule deployment.
Receive optimized screening thresholds from historical match patterns.
“The screening solution offers multiple matching and scoring methods that help us significantly reduce false positives. As a result, our team spends less time on non-material alerts and can focus on material and high-risk cases.”
“The platform’s reliability and scalability have made compliance effortless—it just works.”
Configure inherent, behavioral, and custom risk factors that mirror your internal risk methodology exactly.
Centralize KYC risk, transaction risk, and customer risk assessment into one connected scoring architecture.
Configure inherent, behavioral, and custom risk factors that mirror your internal risk methodology exactly.
Describe the risk condition in plain language and Flagright generates the scoring logic automatically.
Simulate risk factor and threshold changes before deployment and preview customer redistribution instantly.
Investigate hits automatically with explainable recommendations and evidence-backed decisions.
Review hits, compare entities side-by-side, and resolve investigations from a single workspace.
Every hit, decision, and investigation action is timestamped, logged, and exportable for audits.
Weights prefix similarity more heavily for individual screening. Configure thresholds by list or screening mode. Built for names where early characters carry the strongest signal.
Detects insertions, deletions, and substitutions across names. Handles inconsistent formatting, OCR artefacts, and spelling errors. Keeps genuine matches visible even when source data varies.
Supports Arabic, Cyrillic, and Latin transliteration across multilingual datasets. Resolves cross-script name variations for onboarding and payment screening workflows.
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Detects similar-sounding names across spelling variations and regional naming differences. Especially useful for multilingual onboarding and sanctions screening.
Configure DOB tolerance windows such as ±2 years. Suppress weak matches while retaining genuine ones. Especially useful when names are common or repeated across lists.
Splits names into configurable token groups. Resolves reordered, abbreviated, or partially structured names. Helps match names across passports, registries, and watchlists.
Removes legal suffixes and low-signal words before matching. Filters terms like Ltd, Group, Bank, or International. Helps business names resolve with cleaner identifying signals.
"Their platform is built specifically for financial crime compliance, so it covers AML, CFT, and sanctions screening thoroughly. Strong alignment with regulatory expectations, which reduces the burden on compliance teams."
Side-by-Side Match Comparison
Compare customer profiles and watchlist entities in a single investigation workspace with field-level match context already populated.
One-Click Disposition
Dismiss false positives, escalate confirmed matches, and apply bulk dispositions with investigation evidence already attached.
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Audit Trail Auto-Population
Every analyst action, match score, evidence citation, and investigation event is logged automatically and exportable instantly.
Bulk False Positive Clearance
Apply disposition rules across large batches of repetitive hits with controlled review workflows and full investigation traceability.
AI Forensics for Screening integrates directly with Flagright's Watchlist Screening engine to investigate hits automatically, assess match quality, and return explainable recommendations with cited evidence and confidence scoring in under 30 seconds.
Auto-investigation on case open
AI investigations begin automatically with evidence, typology matches, and recommendations before analyst review.
AI-drafted SAR narratives
SAR narratives generated instantly using live case data, transaction activity, and typology context.
Live risk scoring inside every case
Live CRA scores embedded directly into investigations and continuously used as AI decision inputs.
Run sanctions, PEP, adverse media, and custom watchlist checks during onboarding with configurable review and escalation workflows.Every month, Flagright surfaces the most effective rules being run across its network of 100+ regulated institutions.
Sanctions, PEP, RCA, and adverse media coverage
Manual review, auto-decline, or agent-assisted triage
Integrated onboarding risk assessment
Identify new sanctions, PEP updates, and adverse media changes continuously without re-screening the full customer base every cycle.
Real-time and scheduled delta screening
Automatic case creation on material changes
Full list-version audit history
Screen inbound and outbound payments in real time across senders, receivers, and intermediaries with low-latency API response times.
200ms payment screening response time
Sender, receiver, and intermediary screening
Parallel investigation workflows for flagged payments
