Korvena Comply · AI-enabled
Run screening, monitoring, investigation and reporting as one governed workflow, designed around the CBN Baseline Standards for automated AML/CFT/CPF solutions, with a record behind every decision that your examiners can read.
The problem
Sanctions lists change weekly, politically exposed persons move in and out of office, transaction volumes climb, and the regulator expects every alert to be closed with reasons. Spreadsheets, shared inboxes and point tools cannot show an examiner who decided what, when, and why.
Customers are checked once and never again, so a match that appears months later goes unnoticed until an audit finds it.
Monitoring rules generate queues without owners, evidence or deadlines, and genuine risk hides among the false positives.
Suspicious-transaction and currency-transaction reports are assembled from exports at month end, with no link back to the alert that triggered them.
Capabilities
AI in Comply
Models sharpen screening and monitoring where rules alone are blunt, and analysts keep the final say on every match, alert and filing.
Screening handles transliteration, spelling variants, initials and aliases, and ranks candidate matches by confidence so reviewers start with the likeliest hits.
Machine-learning risk scores order the monitoring queue so analysts work the riskiest cases first, and learned typologies supplement the rules you set.
Every score and match carries its reasons. Closures and filings still need a second approver, and model changes are versioned like any other rule.
How it works
Core banking, transaction feeds and customer records arrive by SFTP, API or upload and are normalised into one customer and transaction model.
Customers and counterparties are checked against sanctions and PEP lists at onboarding and on every list update. AI-assisted name matching ranks candidates by confidence, and reviewers record their reasons.
Rules and typologies raise alerts, AI risk scores rank them, and each becomes an owned case with evidence, deadlines and escalation, tuned per segment without code.
STR and CTR workflows are built from the case, approved by a second pair of eyes, and archived with the full trail.
Where it fits
| Obligation | What Comply provides |
|---|---|
| Customer due diligence screening | Sanctions and PEP checks at onboarding, periodic re-screening, match review with recorded reasons |
| Ongoing transaction monitoring | Segment-aware rules and typologies, owned alert queues, tuning history |
| Suspicious-transaction reporting | Case-based STR workflow with evidence and four-eyes approval |
| Currency-transaction reporting | Threshold-based CTR identification and reporting workflow |
| Examination readiness | Immutable audit trail, configuration history, exportable case files |
The fastest way to evaluate Comply is to see your own screening lists, rules and a week of alerts modelled in it. We will show you how cases, approvals and filings would flow.
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