Date: 20.10.2025

by Sebastian Warowny

How Betting Operators Detect and Respond to Player Addiction Risks?

Licensed betting operators across regulated markets are obliged to identify early signs of gambling harm and intervene before the situation worsens. But how do these policies translate into practice? What happens when a player shows signs of addiction, who makes the decision to block an account, and can artificial intelligence truly recognise when play becomes a problem?

How Regulation Reshaped Operator Behaviour?

On regulated markets, responsibility is no longer a matter of image. It is a regulatory requirement. Betting operators must detect risky behaviour, reach out to players showing signs of harm and take action when gambling stops being entertainment. Every major licence now includes detailed expectations on how companies should identify, document and respond to potential addiction.

These obligations are broadly similar across jurisdictions. Operators must monitor player activity, intervene when risk emerges and prove that their actions make a measurable difference. Regulators have made it clear that deposit limits or self-exclusion tools alone are not enough. Companies must actively prevent harm through continuous monitoring, staff training and documented follow-ups. Responsible gambling has become a core part of the operational model, not a marketing label.

Detecting When Play Becomes Risky

Detection begins with data. Every transaction, deposit and game session feeds into behavioural models designed to spot deviations from normal activity. Warning signs include longer sessions, frequent deposits, chasing losses or cancelled withdrawals. These signals trigger automated alerts reviewed by trained analysts.

At Betano, operated by Kaizen Gaming, data monitoring is powered by RG-AID, an AI-based system developed in-house to detect excessive playing patterns. The model analyses activity across all products and channels, flagging behaviour that exceeds safe thresholds. Once a risk is detected, responsible gaming representatives contact the player directly, offering personalised advice and suggesting practical limits.

bet365 follows a more human-first approach. Its responsible gaming team provides 24/7 live chat with trained specialists and partners with support organisations such as Gambling Therapy and Gamblers Anonymous. Players are encouraged to set deposit limits, time reminders and activity alerts, allowing them to maintain control before problems escalate.

These examples reflect a broader trend in the industry: technology identifies risk, but real protection depends on human interaction.

When the Operator Steps In?

Once risk is identified, regulated operators follow a structured intervention process. The first step is usually a soft message or reminder promoting responsible gambling tools. If the behaviour continues, the case is escalated to direct contact from a trained specialist.

At Entain, player protection is built around a global framework known as ARC, or Advanced Responsibility and Care. The system monitors player activity in real time and tailors interventions based on risk level. Some cases result in reminders or cooling-off messages, while others lead to temporary restrictions or full account suspension. The final decision always rests with responsible gaming or compliance staff. Every case is documented to ensure accountability and regulatory traceability.

Similar processes apply across the industry. Automation flags potential harm, but people decide on restrictions. Human oversight remains a safeguard and, in most markets, a legal requirement.

The Human Layer of a Digital Process

Technology enables early detection, but human judgement remains central to the process. Algorithms can analyse millions of data points, but they cannot interpret context. A spike in betting activity might suggest harm, or it could reflect a major sporting event. Understanding the difference requires experience.

Operators now invest heavily in training. Employees complete annual courses on recognising problem gambling and managing sensitive conversations. Customer-facing teams learn how to escalate cases and provide practical support. Kindred Group, for example, publishes annual reports showing the share of revenue linked to high-risk play and how this figure declines over time. The goal is transparency and measurable progress.

Every intervention is logged to prove that contact was made, action was taken and results were reviewed. This documentation has become part of regulatory compliance and internal accountability.

Artificial Intelligence and Its Limits

Artificial intelligence plays a growing role in player protection. AI models can detect subtle shifts in behaviour, rank players by probability of harm and predict relapse after self-exclusion. They can also tailor interventions automatically, adjusting messages and limits to each player’s risk profile.

Entain’s ARC system uses these capabilities to monitor betting activity and trigger preventive actions. The company reports that this approach has helped reduce the number of high-risk accounts across multiple markets. Kaizen’s RG-AID operates on the same principle, flagging concerning patterns across all channels and prompting human review.

Yet AI cannot diagnose addiction or decide on account closures. Regulators require human approval for any critical decision. The focus is on explainable AI, where systems show why a player was flagged and which behaviours triggered the alert. This transparency helps compliance teams verify accuracy and avoid false positives. Technology provides scale, but accountability remains human.

Gambling Addiction: Navigating the Path of Responsible Gambling

Measuring Impact

Responsible gambling is now a measurable area of performance. Operators must demonstrate that interventions lead to real behavioural change. Regulators increasingly request data showing how many players were identified, how many responded and what actions followed.

Publicly listed companies such as Entain, Kindred and Flutter now publish detailed responsible gambling data in their ESG reports. They disclose the number of interventions, follow-ups and reductions in high-risk play. For smaller operators, third-party technology providers offer monitoring and reporting tools that meet similar expectations.

This shift marks a move from policy-based compliance to performance-based responsibility.

The Challenge of the Grey Market

The progress achieved by regulated operators is overshadowed by the growth of the grey market. Unlicensed sites attract players with aggressive marketing, oversized bonuses and the promise of unrestricted play.

Behind that freedom lies the absence of any real protection. There are no responsible gaming policies, no deposit controls and no systems to detect when play turns harmful. When addiction develops, there is no intervention or support network. Complaints are ignored, winnings may go unpaid and players struggling with addiction are left entirely on their own.

This contrast defines the current state of the gambling industry. Licensed operators are building a system based on prevention, transparency and accountability, while unlicensed sites continue to operate outside any oversight. As Entain notes in its corporate responsibility statement, tackling the illegal market is critical to ensuring that regulatory goals are not undermined by black market operators who target the young and the vulnerable.

For the industry, this remains the central challenge. Technology, training and compliance can only protect those within the regulated system. The next step is to limit the space where no standards apply and where players facing addiction are left entirely on their own.