Evenbeter Adds AI Screening and Responsible-Gaming Markers to Back Office

The supplier’s new tools flag suspicious poker activity for human investigation while giving operators control over AI access and use.
Evenbeter Adds AI Screening and Responsible-Gaming Markers to Back Office
Key points
  • The screening layer flags suspicious poker hands and account connections without determining wrongdoing automatically.
  • It examines hand histories from the bubble stage onwards and uses shared-device and payment-connection signals while excluding names and IP addresses.
  • New tournament tools validate event settings and forecast cash-game and tournament demand before schedules are finalised.
  • The update also adds natural-language reporting functions, retention analytics and responsible-gaming behavioural markers.
  • Evenbeter said administrators can control individual AI functions, request limits, instructions and data access through existing permissions.

Evenbeter has added an AI-assisted screening layer and wider analytics tools to its back-office platform for poker and casino operators, designed to identify issues for staff rather than make automated misconduct findings.

The system flags suspicious poker hands and possible links between accounts for human review. It assesses player and tournament hand histories from the bubble stage onwards, using internal signals including shared devices and payment connections to surface potential multi-accounting or coordinated activity.

Names and IP addresses are excluded from the screening process. Alexander Tamplon, Evenbeter’s CTO, said the aim was to show operators what deserved attention and what to check next, while leaving decisions with the operator.

Administrators can independently switch AI functions on or off, set daily request limits and tailor the assistant’s instructions. The AI layer is also constrained by the back office’s existing permission structure, governing the data each user can access.

The release adds planning functions for tournament teams. Before an event goes live, they can validate expected participation, guarantees, payout structures, prize limits and possible schedule conflicts; analysis of historic performance can also identify underperforming time slots. Demand forecasts offer confidence ranges for future cash-game and tournament activity, helping teams consider schedules before committing to a guarantee.

Other additions include natural-language prompts that create filters for player, transaction and withdrawal lists, and AI-generated operational-report summaries with recommended next steps. Retention analytics are arranged by churn risk and player value, alongside cash-game stake-economics reporting.

The platform also introduces responsible-gaming behavioural markers benchmarked against both an individual player’s activity and population baselines, which Evenbeter said could assist operators with compliance requirements in regulated jurisdictions. More broadly, AI-based responsible-gambling tools use behavioural information to identify potential risk signals, but human compliance teams remain responsible for reviewing cases and making final decisions.

The emphasis on screening for investigation, rather than an automated verdict, parallels the human-review approach used in poker-integrity tools, as we reported Oct. 9 when AceGuardian published its superuser-detection code.

The Malta-based supplier announced the expansion on Oct. 14, two months after rebranding from EvenBet Gaming. It operates under an MGA B2B Critical Supply licence and says it supports more than 200 projects in 41 countries.