Less compliance review time
CashDirector reports that clustered profiles and fewer false positives help its compliance officers review cases faster.
Industries / iGaming
Screen supplied players and payout parties against configured sanctions, PEP, adverse-media, and watchlist sources, with controlled review and audit-ready evidence.
Screening, review, note, escalation, and outcome.
iGaming operations
Gaming operators need AML, sanctions, PEP, adverse media, and watchlist screening without turning every legitimate player interaction into a manual compliance delay. Checklynx supports player onboarding, withdrawal review, high-risk player checks, monitoring, and case evidence from one workflow.
Check players at signup, account review, high-risk trigger, source-of-funds escalation, or withdrawal review against sanctions, PEP, adverse media, and watchlist data.
Use screening and case context to review high-value withdrawals, new beneficiaries, PEP exposure, sanctions matches, and repeated false positives before payout release.
Preserve match sources, analyst rationale, notes, escalation history, decisions, and timestamps for compliance, MLRO, partner, and audit questions.
Screening journey
A player signup, withdrawal, PEP hit, sanctions match, or monitoring update becomes owned review work, with source context and decision evidence kept alongside the case.
| Stage | Screening context | Business outcome |
|---|---|---|
| Player signup | Name, date of birth, country, identifiers, sanctions, PEP, adverse media, or watchlist context | Risk is checked before approval or account activation. |
| Withdrawal requested | Payout recipient, payment details, high-value activity, PEP exposure, or sanctions context | Potential exposure is reviewed before funds leave the platform. |
| High-risk trigger | Large deposits, unusual play, new beneficiary, geography change, or source-of-funds escalation | Compliance receives a focused review task instead of scattered context. |
| Monitoring update | New sanctions listing, PEP change, adverse media event, or watchlist update | Approved players stay visible after signup. |
| Outcome recorded | Decision, rationale, reviewer, timestamp, attachments, and audit trail | The operator can explain who decided what and why. |
Review efficiency
Screening should not make analysts rebuild the same review packet every time a player deposits, withdraws, or triggers a risk review. Checklynx keeps decisions, source context, and monitoring history connected to the player and case.
Review sanctions, PEP, adverse media, and watchlist context with profile details, identifiers, payment details, and player history.
Screen high-value withdrawals, new payout recipients, unusual activity, and escalated player profiles before release.
Reuse prior decisions where appropriate so the same non-risk hit does not create repeated manual work.
Export source-backed evidence, decisions, notes, escalation events, and review history when governance teams ask for proof.
| Trigger | Handoff | Business outcome |
|---|---|---|
| Potential sanctions hit | Case review with source context | Analysts can decide before account approval or payout. |
| Withdrawal escalation | Screening and case handoff | Funds can be held, reviewed, or cleared with evidence. |
| Repeated non-risk match | Player-scoped decision memory | The same false positive does not keep returning as new work. |
| Governance request | Case evidence and immutable audit trail | Compliance can explain the decision record. |
Anonymous customer story
A Brazilian gaming operator uses Checklynx, integrated identity verification and SIGAP checks in its player-onboarding workflow.
Read the customer story →Use supplied player and payout-party data for onboarding, withdrawal, portfolio, and ongoing screening while keeping player-risk, source-of-funds, payment, and legal decisions with the operator.
Run configured checks at player registration, payout-recipient, withdrawal, or another approved event.
Explore 02CSV batch screeningReview a supplied player, affiliate, or partner population under one controlled configuration.
Explore 03Ongoing monitoringReturn relevant source or supplied-data changes for review after approval.
Explore 04Case managementGive authorised reviewers the player, payout, source, and decision context needed for a controlled outcome.
ExploreUse the player, beneficiary, identifier, and event data supplied by the gaming workflow.
Apply the enabled sanctions, PEP, watchlist, or other approved sources at the defined event.
Assess potential matches with the source and relationship context attached.
04Evidence and later reviewRetain the outcome and return relevant changes through the approved process.
CashDirector reports that clustered profiles and fewer false positives help its compliance officers review cases faster.
Shopware connects retained false-positive decisions, customer screening and ongoing monitoring.
Operators commonly screen players, payout recipients, beneficiaries, payment identifiers, high-risk events, PEP exposure, sanctions matches, adverse media, and watchlist records.
Screening can happen at signup, before withdrawal release, during high-risk player review, on source-of-funds escalation, during periodic review, and through ongoing monitoring after approval.
Yes. Checklynx supports API-based checks, reusable decisions, case review, and evidence capture so teams can focus manual review on matches and higher-risk events.
No. Checklynx supports screening, monitoring, case review, and audit evidence workflows. Legal obligations, policies, and final compliance decisions remain with the operator and depend on jurisdiction.
It supports configured screening of supplied players, payout recipients, beneficiaries, payment parties, and supported identifiers against enabled sources at the points defined by an operator's control model. Potential matches still require authorised review and do not replace the operator's AML programme or legal decisions.
No. Player and payout-party screening compares supplied people and identifiers with enabled sources. Behavioural transaction monitoring assesses patterns of activity. They can share evidence and case workflows but are separate controls with different ownership.