Alerts your RG team can actually action.
SafePlay reduces alert volume by an order of magnitude while catching more real cases — and produces the audit trail UK, Swedish, Dutch and MGA reviews ask for.
Rule-based RG systems generate noise: 100–200+ alerts per day for a mid-size operator, most of them false positives. The RG team triages, gets exhausted, and the real cases — the ones that produce fines and reputational damage — slip through with the rest.
The cost shows up as regulatory exposure (fines, license risk, mandatory remediation programs) and as manual cost (triage time, compliance reporting, internal audit cycles).
Queue volume falls sharply (≈200/day → ~25/day in production) so the RG team can act.
Behaviour + language fusion finds cases rule engines miss.
UK / SE / NL / MGA report templates built in. Every decision auditable.
Proactive intervention before the regulator's review window.
SafePlay fuses two signal families: a structured LLM evaluation of player communications (chat, complaints) and behavioural aggregates (deposit velocity, session shape, chasing-loss patterns). Schema-Guided Reasoning keeps the LLM output structured and auditable.
The two signal families combine into a per-player risk score with categorised reasoning. Output: a tiered queue with full context and recommended intervention. Every decision carries a reasoning trace for compliance review.
"Player at risk → caught in real time → RG officer sees the case with full context."
30 minutes. We look at your alert volume, your intervention rate and your last regulator interaction, and tell you honestly where SafePlay would move the needle.
Or write: hello@arctura.eu