Real-time or Redundant: Why AI is Driving the Next Phase of Risk Management Tools

Giorgi Samkharadze, Director at Broadway Platform, discusses the importance of AI as a building block for creating risk management and player protection tools that identify and crucially act on real time issues.  

As an industry, there are very few globally that can match iGaming for one that makes so much noise about customer protection, AI adoption, and innovation. Debates on the topic can be found in news announcements, panel discussions, and talking head interviews in every jurisdiction from Alberta to Australia, and everything in between. However, when it comes to actually creating tools that  are either innovative, use AI, or add to customer protection, this is oftenlacking – especially in combination. 

The world today is filled with millions of data points, giving an incredibly clear picture on user behaviours, preferences, risk indicators, and so much more. However, often these data points either go uncollected, or sit in a CRM framework where the power they contain is  left unutilised. 

Building platforms with AI at their core is what turns risk management from a reporting exercise into a tool that sets operators apart. Legacy tools rely on static rules and after-the-fact reviews, which means threats are only caught once damage is already done. AI-first platforms instead process dozens of behavioural signals simultaneously, in real time, spotting the subtle patterns such as timing, device, deposit rhythm, session behaviour, and more, that precede fraud, bonus abuse, or player harm long before a human analyst could connect the dots manually. In an industry facing sharper regulatory scrutiny and more sophisticated bad actors, AI is a key tool in the arsenal to identify and act on this.

Broadway Platform’s Broadguard is a risk management tool built from the ground up, using AI-first methodology to rapidly analyse more than 60 parameters and touchpoints to deliver real-time risk profiling, behavioural insights, and reporting to empower operators across their ecosystem.

In an age of more complexbonus abuse, multi-accounting, and increased fraud risk, as well as a much brighter spotlight on player protection, having a tool built into your infrastructure that proactively combats this, with deeper visibility, automated risk detection, and actionable insights, gives a true advantage over competitors leveraging legacy platforms and manually accumulating data to deliver lacklustre reporting. 

The modern world where speed is now everything, from the loading process of a slot to the time taken for a withdrawal to hit your bank account, having a tool that reliably delivers real-time updates seamlessly across an ecosystem, and transformed into actionable insights, can be the key difference between re-engaging players with push notifications, or flagging destructive behaviour, and ensuring the key steps are taken and clear paths to optimal resolution are delivered. 

That is ultimately the philosophy behind Broadguard. It's easy to say a platform is AI-powered, but proving that on a daily basis, and highlighting the consistent work where AI is doing genuine, continuous work across dozens of data points, at scale, is a lot rarer. As the industry's regulatory and competitive pressures intensify in equal measure, the operators who treat data as a living, actionable asset in real time will be the ones who stay ahead. Broadway Platform built Broadguard on that premise, and it's one we believe the rest of the industry will need to catch up to.