Why iGaming Operators can no longer afford to ignore AI in customer service
The question of whether AI belongs in iGaming customer service has largely been answered. AI is no longer optional. The conversation has shifted to something more practical: which type of AI, how should it be deployed, and to what end? For C-suite leaders, that distinction matters more than it might appear.
What Agentic AI actually means in practice
The shift from virtual agents to agentic AI is more than a terminology update. Earlier automation tools could handle predictable, scripted interactions. Agentic systems go further. They connect across CRM platforms, KYC/AML APIs, payment systems, and compliance workflows, taking real action on the player’s behalf.
This means an agentic system can verify a document, update a player record, process a bonus claim and flag a responsible gaming concern; all within a single conversation, without a human agent in the loop unless genuinely needed.
Cutting support costs in half without limiting experience
The results from operators running agentic AI in production are broadly consistent, and for those managing high volumes across multiple markets, the operational differences are considerable. End-to-end automation rates of over 50 per cent for conversations are achievable, with support cost reductions in the same range. Return on investment also tends to exceed 200 per cent within the first year, whilst player satisfaction has held up well.
Between 60 and 80 per cent of inbound customer service traffic in iGaming consists of repetitive, process-driven interactions such as KYC queries. Agentic AI handles these end-to-end, freeing support teams to focus on interactions where human judgment genuinely adds value.
Support teams aren’t shrinking. They’re scaling
One framing that has aged poorly is the idea that AI automation primarily means reducing headcount. The evidence from operators who have deployed at scale tells a more nuanced story. Most are not running leaner teams at significantly higher capacity.
Conversation analysts and AI operations leads are emerging as distinct functions within customer service teams, whilst human agents are spending more time reviewing AI performance and handling the complex or sensitive interactions where empathy and context matter most.
200 per cent ROI and rising player satisfaction
Stanleybet Group offers one example of how this plays out in practice. Their AI solution, powered by EBO, a UK- and Malta-based technology company, automates over 50 per cent of customer conversations end-to-end across multiple languages, achieving 86 per cent customer satisfaction and a 97 per cent recognition rate.
EBO’s multilingual AI for iGaming helps operators automate high-volume player interactions while improving experience, compliance, and cost efficiency. The technology combines agentic AI, behavioural science, voice capabilities and real-time data insights to personalise interactions and ensure regulator-ready, auditable conversations. The solution can cut support costs by 50 per cent+ and generates a Return on Investment of up to 200 per cent.
Why some AI projects fail to deliver (and how to avoid it)
It is worth being clear-eyed about where implementation tends to fall short. Operators who deploy general-purpose AI tools without configuring them for iGaming-specific workflows, such as responsible gaming logic and compliance escalation paths, tend to see limited results.
The operators seeing the strongest outcomes are starting with well-defined, high-volume use cases rather than automating everything at once, and they have built in proper human oversight, escalation paths, and ongoing performance monitoring from the start.
The practical priority right now
The more useful questions to ask right now are: which workflows to prioritise, how to integrate AI into existing support infrastructure without disrupting service continuity, and how to structure the human-AI collaboration model to deliver the best outcomes for both players and teams.
Where and how to start
If you wish to learn more about how Agentic AI can help your igaming operations, reduce your operational costs, and increase staff capacity, download the guide to AI for iGaming here.
