News & Open Positions

Most iGaming operators now treat AI as a core capability rather than an experiment, using it to reduce churn, personalise incentives, and improve player lifetime value. That has turned an old question into an urgent one: should an operator build AI capability in-house, buy it from a specialist provider, or combine both? There is no universal answer. The right choice depends on data maturity, in-house data science capacity, time-to-value requirements, and how central AI-driven decisioning is to the operator’s competitive strategy. This guide sets out the trade-offs of each path and a simple framework for choosing between them.

CRM platforms and AI Decision Layers are often discussed as competitors, but they solve different problems. A CRM platform executes player communications. An AI Decision Layer determines what those communications should be, and whether they should be sent at all. Understanding this distinction matters because operators frequently ask whether adopting AI-driven decisioning means replacing their CRM. It doesn’t — the two are designed to work together.

An AI Decision Layer is a software layer that sits between an operator’s player data and its operational systems, using predictive analytics and decision intelligence to determine the next best action for every player in real time. It doesn’t replace CRM platforms or marketing automation – it improves the decisions those systems execute, continuously adapting as player behaviour changes.

Decision Intelligence is the practice of combining data, predictive models, AI, and business objectives to determine what action should be taken — not just what has happened or what might happen next. For iGaming operators processing constant streams of deposit, wagering, and engagement data, Decision Intelligence is what turns that data into a specific, individual recommendation: the next best action for each player.

Next Best Action (NBA) is an AI-driven approach that determines the single most appropriate action for an individual player, based on their behaviour, predicted outcomes, and the operator’s business objectives.
Instead of asking which campaign a segment should receive, NBA asks a narrower and more useful question: what is the best action for this specific player, right now — including the option to take no action at all.

CRM platforms have anchored iGaming marketing for years, helping operators segment audiences, automate campaigns, and reach players across channels. Those capabilities remain essential. But as player behaviour becomes more dynamic and competition intensifies, many operators are finding that rule-based CRM logic — fixed if/then conditions applied to segments — can no longer keep pace on its own.