How the platform enforces Responsible Gaming

Introduction

The online casino platform plays a key role in protecting gamblers from excessive gambling. Responsible Gaming (RG) is implemented at the level of back-end and front-end modules, combining preventive mechanisms, real-time monitoring and automatic intervention.

1. Self-Exclusion and Locks

1. Global and local self-exclusion

Global: A player can apply for a complete disconnect from all of the chain's brands; the platform stores the 'isSelfExcluded' flag in the profile and blocks any login or registration attempts.
Local: selective rejection of one site or type of games; 'excludedGames' flag in PMS.
2. Feed interface

In UI, the "Responsible Gaming" button → a form with a choice of failure level and term (from 24 hours to forever).
After confirmation, the flag is immediately written to Redis (TTL by date), synchronized with the main profile.

2. Deposit and rate limits

Set up limits

Daily/Weekly/Monthly: Maximum amount of deposits, bets or losses.
Allows you to enter thresholds manually in your personal account and through the admin panel.
Enforcement

Middleware at the PaymentService and BetService levels checks before any operation:
  • ```pseudo
  • if (sumDeposits(period) + newDeposit > depositLimit) reject
  • if (sumBets(period) + newBet > betLimit) reject
  • ```
  • Automatic reminders

When the 80% limit is reached, the system sends email/SMS via NotificationService.

3. Timeouts and reminders

Forced Breaks

Upon reaching cumulative play time per day (for example, 4 hours), mandatory modal is shown with quarantine for 15 minutes.
Periodic reminders

Every N minutes of playing in the active window - a pop-up notification "You have been playing for X hours. It's time to rest"

4. Behavior monitoring and automated intervention

Real-time scoring activity

Functions:
  • Rate frequency (velocity),
  • The size of the rates relative to the balance,
  • Interleaving win/loss.
  • The ML model or rule-engine in the AntiFraud Service assigns a'riskRG 'label.
  • Automatic measures

Soft Warning at 'riskRG> threshold1': A one-time pop-up offering to cut rates.
Hard Intervention at 'riskRG> threshold2': temporarily blocking the ability to bet, requesting confirmation of'I'm fine' via captcha.

5. Content filtering and communication

Static blocks в UI

Responsible Gaming pages with rules, links to support and hotlines (Gambling Help Line).
Dynamic banners

Activated after certain scenarios (input under the influence of A/B tests, when loss-limit is reached).
External links

Icons and links to independent support services (GamCare, Gamblers Anonymous).

6. Reporting and Analytics

Regular reports

Batch jobs form CSV/XML: statistics on self-exceptions, limits, warnings and locks for the period.
Auto-delivery to regulators via SFTP.
Dashboards

Grafana-dashboard: number of active self-excluded, average time-out, count warnings vs interventions.
Metrics:
  • `rg_selfexclusions_total`,
  • `rg_limit_violations_total`,
  • `rg_forced_breaks_total`.

7. Support Integration

Case-management

If the player requests help, a ticket is created in the system (Zendesk/Jira) with the label RG.
Live chat escalation

In critical incidents (riskRG> high), the chatbot or operator offers a conversation with a consultant.
Follow-up

A status survey and additional resources are sent 24 hours after the intervention.

Conclusion

To comply with the principles of Responsible Gaming, the platform must combine self-exclusion, flexible limits, real-time behavior monitoring, automatic alerts and locks, as well as effective reporting and integration with support services. Only a comprehensive microservices architecture and sound business rules will ensure player protection and compliance.