Live sport is continuous, attention shifts quickly, and players expect something that feels more relevant to what is happening in the moment. Adam Lewis, CEO at AxiumAI, explores how operators are starting to look beyond traditional loyalty models and towards more dynamic ways of engaging players, supported by AI agents that can operate in the moment.
from pre-match through to in-play and post-settlement. By connecting players with relevant content at the right moment, engagement becomes continuous rather than episodic, increasing session length, retention and overall player value.
At the core of this is continuous optimisation. Tese systems do not rely on static rules or predefined segments; they learn and adapt in real time. Every interaction feeds back into the model, refining future decisioning and compounding performance over time. Tis creates a dynamic system where engagement improves with scale and usage.
Tere are, however, important considerations as this capability evolves. Greater sophistication introduces the risk of complexity, particularly if experiences become less intuitive for players. Maintaining clarity and coherence in the user experience remains critical.
Equally, the application of behavioural intelligence must be handled carefully. Te same data that enables highly personalised interaction also provides a deeper understanding of player behaviour, creating an opportunity, and responsibility, to support more informed, sustainable and responsible engagement strategies.
Operationally, this represents a fundamental shift. Engagement is moving away from scheduled campaigns and manual workflows towards continuous, real-time systems. AI agents interpret context, make decisions, and execute actions in parallel - coordinating across channels and moments rather than operating in isolation.
Tis marks a transition from fragmented, sequential processes to a unified control layer, where multiple agents operate simultaneously, share context, and act in real time. Te outcome is not just more
effective engagement, but a fundamentally different operating model - one that is faster, more adaptive, and structurally more aligned with how sport and player behaviour actually unfold.
AI-DRIVEN OPERATING MODELS
So, are loyalty programmes still fit for purpose? Tey continue to play a role, particularly in rewarding ongoing activity and supporting baseline retention. However, they are no longer the only way to drive engagement. Increasingly, they are being complemented by real- time, personalised engagement that operates across every touchpoint. Loyalty is no longer defined only by points or tiers. It is shaped by how relevant, timely and connected the experience feels throughout the player journey.
As AI agents become more embedded across sportsbook operations, they begin to form a more coordinated operating model, where risk, payments and customer experience are no longer siloed functions but part of a connected system. In this model, AI is no longer just informing decisions, but executing them, with agents capable of interpreting context, taking action, and collaborating with other systems without relying on manual orchestration.
So, with the industry continually evolving, the combination of structured loyalty and real-time, context-aware engagement is likely to play a major part in how operators interact with players and drive value moving forward.
Over time, this moves sportsbooks towards a more unified intelligence layer, where sustained interest and loyalty are not managed in isolation, but continuously optimised as part of a wider, connected ecosystem of AI agents.
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