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.