The riskiest moment in your venue happens in ten seconds at the cash desk: large sums, a queue, and a staff member who is also pouring beers. ComplyIQ moves the control out of the policy binder and into the payout itself, so identification, due diligence, and management oversight are applied automatically when a threshold is met, not when someone remembers.
Staff rely on memory to know when ID, due diligence or escalation applies, under exactly the time pressure where memory fails.
Checks are applied inconsistently. Some payouts are documented, many are not, and there is no way to prove which.
Sub-threshold structuring goes unnoticed because no one aggregates a patron’s payouts across the day or across venues.
Source-of-funds enquiries happen verbally, if at all, and leave no evidence trail behind them.
When a regulator asks “show me”, there is no decision record to produce, just a payout ledger.
When a payout meets an identification or due diligence threshold, the workflow stops and prompts the required step before the transaction can proceed. Not when someone remembers, every time.
ID, due diligence and oversight applied automatically at threshold
Payout halts until the required check is completed
Thresholds configurable per venue and inherited from the group program
No payout proceeds undocumented
Unusual gaming and payout behaviour is surfaced the moment it occurs, with automated system monitoring combined with structured staff observations captured in a few taps.
Bill stuffing and minimal-play or high-turnover detection
Ticket transfers between patrons flagged
Inconsistent gambling patterns surfaced
Staff observations captured at the point of concern
When elevated risk is detected, staff are walked through clear operational steps: what to ask, what to record, and when to escalate. The observation is logged automatically, with no training recall required at the counter.
Step-by-step prompts at the payout window
Clear escalation pathway to management
Observation documented automatically
Consistent handling regardless of who is on shift
Customers assessed as high risk are subject to structured management review before transactions proceed, so the riskiest payouts never rest on a single staff member’s call.
High-risk customers reviewed before the payout proceeds
Documented management rationale for the decision
Escalation routed to the compliance officer queue
Outcome recorded against the customer profile
Source-of-funds and source-of-wealth enquiries are captured and retained directly in the customer record, building the evidence trail enhanced due diligence requires, not a verbal exchange that leaves no trace.
SoF and SoW enquiries captured in the customer record
Retained for the seven-year AUSTRAC period
Feeds the enhanced due diligence workflow
Available for independent review and audit
CDD and EDD requirements apply automatically when regulatory thresholds or elevated risk indicators arise, consistently, every time, across every venue in the group.
CDD and EDD triggered automatically at thresholds
Consistent application across all venues
Ties directly into the patron risk score
Group-wide visibility for the compliance officer
A typical payout, from the moment a ticket is presented through to a documented decision. The check happens at the counter; the compliance work is captured in the system.
A patron presents a $6,000 ticket at the cash desk.
The amount hits the ID threshold. A recent pattern, three sub-threshold payouts this week, is detected.
Staff are prompted to verify ID and log a source-of-funds question.
The aggregated pattern raises a management-review flag before the payout proceeds.
Decision, evidence and outcome are saved to the profile. SMR-ready if needed, audit-ready if not.
Floor staff see only what they need to act on: identification status, risk tier and escalation instruction, without seeing the underlying flags that drove it.
SMR-linked records sit behind a structural containment boundary enforced by the platform, not by staff discretion. Staff do not make tipping-off calls because they are never put in that position.
When a control changes the payout step, the patron-facing language is uniform and policy-based: “our policy on payouts of this size is to confirm a few details”. The patron cannot infer they have been flagged.
Gaming and Cash Controls feed the same customer profile and risk score as the rest of the platform. The control applied at the payout reads patron context from CDD, escalates patterns into monitoring, and seeds the SMR workflow when a payout turns suspicious. One lifecycle, not seven disconnected tools.
Identification and risk tier provide the patron context the payout control applies.
Payout patterns feed continuous monitoring and the patron risk score.
A suspicious payout seeds the SMR draft with the supporting transactions attached.
The controls applied here are defined and governed in your AML/CTF program.
No. ComplyIQ applies the threshold automatically and stops the payout until the required check is done. The control does not depend on staff recall at the counter.
Bill stuffing, minimal play with high turnover, ticket transfers between patrons, source-of-funds concerns, and inconsistent gambling patterns, combining system signals with staff observations.
Yes. Consolidated customer visibility links all activity to one profile, including where identification happens later in the process, so the full pattern is assessed rather than a single transaction.
No. Checks only trigger at thresholds or on elevated risk, and staff are guided through them in a few taps, not by digging through a manual or calling a manager from memory.
It aggregates a patron’s payouts across the day and across venues in the group, so clustering of amounts that each sit below the cap is detected as a single pattern. This is exactly how structuring is designed to hide.
Book a demo to watch ComplyIQ apply the right check at the right moment: threshold-based ID and due diligence, structured escalation, and a complete decision record, built into the payout, not bolted onto it.
