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For AI-powered customer support and chat, operators are encouraged to set clear parameters for when conversations should be moved to a human member of staff. These include repeated low-confidence responses, unresolved queries, indications of distress, or a customer simply asking to speak to a human.

The MGA said the charter will be reviewed periodically as technology and regulation develops.

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Its findings contained an all-too-familiar combination of ineffective systems, delayed interventions and inadequate source-of-funds controls. One customer placed approximately 4,800 bets in one day and 7,000 the next without being flagged. Another, whose payslips showed monthly earnings of about £2,000, deposited and lost £9,000 in four days.

“What is striking here is the level of activity that apparently failed to trigger effective intervention,” Williams says. “These were obvious indicators requiring further scrutiny, and it is difficult to understand why they did not result in more effective intervention.”

He adds that the recurring weakness is often not an absence of policies but a failure to ensure “technology, algorithms and operational processes actually work in practice”. Some of the QuinnBet issues followed a platform migration, underlining the need to retest controls whenever systems change.

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Of the KSA’s update, Fuchs said: “If you [as an operator] have a clean sheet, there are some hoops, but for various modules you can just send a declaration which states that you’re compliant.”

He emphasised the new system would make burdens less demanding than before, but the new ‘exit plan’ requirement and sharper duty‑of‑care definitions do bring some added complexity.

The KSA said that applicants were previously required to detail corrective actions taken to address previous breaches and outline measures to prevent future violations.