Monitor the right population
Create focused cohorts for periodic reviews, remediation, high-risk populations, or selected customer groups instead of treating every monitoring run as a full-base exercise.
Solutions / Ongoing Monitoring
Run ongoing AML monitoring across the customers that matter, with cohort-based scope, risk-based screening depth, reusable decisions, and clean handoffs into cases and downstream systems.
SanctionsWatchlistIndividual
3 AML profiles awaiting decision
Manual MLRO runs or automatic cadence
Monitoring operations
Customer risk does not stop changing after onboarding. Checklynx gives compliance teams a practical way to keep approved customers under review, focus screening on defined cohorts, and turn new risk signals into review work without rebuilding the process each cycle.
Create focused cohorts for periodic reviews, remediation, high-risk populations, or selected customer groups instead of treating every monitoring run as a full-base exercise.
Attach screening profiles and schedules to the populations that need recurring checks, while preserving manual runs for MLRO-led decisions and exceptional reviews.
Route new actionable hits into case review and suppress previously resolved false positives so repeated non-risk matches do not consume the same review effort again.
Operating model
Define who is in scope, decide how they should be screened, and keep every result connected to the review, suppression, case, and webhook actions that follow.
| Stage | Enterprise context | Outcome |
|---|---|---|
| Customer population | Imported records, synced customers, selected customer IDs | A current base for monitoring. |
| Cohort scope | Named groups for risk tiers, remediation, reviews, or MLRO-selected checks | A clear population to screen. |
| Screening depth | Reusable profiles for sanctions, PEP, watchlist, wanted, and adverse media coverage | Controls matched to customer risk. |
| Monitoring run | Manual batch run or policy-driven scheduled screening | Checks happen when required. |
| Decision memory | Customer-level false-positive suppression | Known non-risk matches stay quiet. |
| Case handoff | Cases, hit review, notes, escalation, outcome, and timeline | Actionable changes become owned work. |
| System handoff | Webhook events for screening, case, status, and resolution changes | Operational systems stay aligned. |
Why teams choose it
The commercial value is not only running another screen. It is knowing who was monitored, why that scope was chosen, which policy applied, what changed, and how the business responded.
Use cohorts to make monitoring intentional: high-risk customers, remediation populations, periodic reviews, or specific groups selected by compliance leadership.
Apply different screening profiles and cadences based on the customer population, so higher-risk groups receive stronger controls without overloading every review cycle.
A resolved false positive should not return as a new alert every cycle. Suppression keeps analysts focused while preserving the decision context.
Actionable changes become cases with ownership and evidence. Webhooks keep CRM, risk, data, and operations systems synchronized with review outcomes.
| Trigger | Handoff | Business outcome |
|---|---|---|
| Defined cohort | Manual run or recurring policy | Monitoring starts from a clear scope. |
| Risk profile | Source coverage and cadence | Controls match the customer population. |
| New signal | Case review | Analysts receive owned work with context. |
| Resolved non-match | Suppression | Repeated false positives stay out of the queue. |
| Review outcome | Webhook and evidence trail | Systems and audit history stay aligned. |