Player Protection
Strumenti di Protezione

Protecting our players—through the identification of problematic behaviors and the implementation of protection and prevention measures for vulnerable groups—is one of the core pillars of Sisal’s Responsible Gaming strategy.

Thanks to the research conducted on our online and retail customer base, we are able to anticipate and understand how our players’ behavior patterns evolve, allowing us to develop customized player protection actions aligned with their specific risk levels, leveraging technological innovation.

Consapevolezza nello sviluppo dei giochi

Since 2010, we have been monitoring the risk level of our games with GAM-GaRD, a tool that makes it possible to precisely calculate the social risk of each new game before its potential launch on the market.

In our sales outlets

We have update information material on the topic of Responsible Gaming by inserting a QR code that allows players to check their own risk profile.  

Aware of the central role of the sales network as first contact with customers, we offer to the staff of the entire Sisal network continuous training on Responsible Gaming to raise awarness of the risks associated with gaming and orient distressed customers towards expert support centres.

Artificial intelligence: new frontiers for game monitoring

Sisal has a proven track record in protecting its players with information initiatives, as well as problem gaming prevention measures, education for Responsible Gaming behaviour and support for gaming-related issues.

Sisal aims to act promptly to protect players through the application of innovative advanced artificial intelligence systems that allow data from the various platforms to be analyzed and processed in real time.

Thanks to the technology available for analysing data originating from the different platforms, and the ability to process them in real-time by leveraging artificial intelligence, Sisal is strengthening its protection of players through innovative AI-supported systems.

 

All of Sisal’s online products allow for gaming and spending limits thanks to specific artificial-intelligence enabled tools that can identify problem gaming behaviour in real-time and intervene with suitable protection actions.

GAM-GaRD is a tool created by the Canadian company GamRes which analyses the dynamics of the game in order to develop effective measures and strategies for implementing the Responsible Gaming Program and identifying any underlying communication strategies.

It was developed by a team of international psychologists and researchers who investigate the structural characteristics of the game (duration, highest winnings, frequency of prizes, etc.) and other elements (accessibility to the gaming venues, opening hours, etc.) according to criteria that have been identified and tested by a panel of world-leading experts. 

The aim is to define protection measures and criteria for players and to implement risk-minimisation strategies.

Research and studies for analysis and monitoring

Sisal has always conducted and supported research and studies to analyse and monitor the perception and awareness around Responsible Gaming topics.

 

The results of these investigations are essential for delivering suitable solutions for the problem gaming phenomenon and fully understanding how players’ behaviour patterns can change. Within this process, a central role is played by Mystery Inspector analyses, with the aim of monitoring the respect of the high standards on Responsible Gaming in Sisal’s physical sales network.

 

An integrated monitoring project for problem gaming has been launched, with the aim of:

  • engaging in dialogue with players on Responsible Gaming topics,
  • monitoring players’ behaviour in our online portals, and
  • implementing player protection actions in line with the risk level of our players.

 

The monitoring is carried out through the distribution of questionnaires addressed to the entire customer base, centred on the strict international standards outlined in the Problem Gambling Severity Index (PGSI), combined with a background analysis of sociodemographic questions.