Most iGaming operators exploring automation ask the same question: where do we even begin? The data has a clear answer – and it’s not what most people expect.
Across iGaming operators, roughly four ticket types make up the overwhelming majority of support volume: payments, bonuses, verification, and account requests. None of them are particularly complex. All of them are repetitive. And that combination makes them the ideal starting point for iGaming AI customer support.
What to automate first?
Here are the three main categories that iGaming companies must consider when automation their customer support:
- Payments: The Biggest Queue, The Simplest Fix
Withdrawals and deposits alone account for over 40% of tickets, and almost all of them boil down to one question: “where is it, and why is it delayed?” Players don’t need a conversation – they need a fast, accurate status update. This is exactly the kind of query AI player support resolves instantly, pulling live transaction data instead of making players wait in a queue for an answer a system already knows.
- Bonuses: Confusion, Not Frustration
Bonuses are the single largest category by ticket count – close to 30% of all volume. Unlike payment queries, these aren’t urgent; they’re confused. Players don’t always understand wagering requirements or eligibility, which makes bonus tickets a near-perfect fit for self-service, plain-language automation rather than reactive support.
- Verification and Account Requests
Verification tickets are a smaller slice of the pie but carry disproportionate back-and-forth – players often don’t know what’s needed or where their submission stands. Account requests (closures, reopens, lockouts, contact updates) follow standardised rules with little ambiguity. Both are low-risk, high-friction categories that iGaming AI support can resolve in a single guided interaction instead of a multi-day email chain.
Where Humans Still Matter
Automating these four categories doesn’t mean removing people from support. Fraud disputes, responsible gambling escalations, and VIP interactions still need human judgment – and always will. The point of AI customer support isn’t replacing that judgment. It’s clearing away the repetitive volume so human agents only handle the interactions that actually need them.
Cevro AI: Built to Start Where the Data Points
Cevro AI is designed around exactly this logic. Instead of a blanket automation rollout, Cevro identifies the highest-volume, lowest-complexity ticket categories for each operator and automates them first – typically resolving up to 90% of support volume across payments, bonuses, KYC, and account requests, while routing anything sensitive straight to a human. Operators don’t need to redesign their support strategy to see results. They just need to start where the data already points.
