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“We [recently] started asking, ‘What does this mean for the customer? What can the customer actually do with this?’ And I think we would have continued looking for that answer if the customer hadn’t come to us and said: ‘Can we let our AI agent deal with your data streams and use your platform?'”
One customer built its own casino landing page and wanted to use Cubeia’s APIs to make it work with the platform. “Another wanted to use Cubeia’s player account management system to build its own functionality, including personalised bonuses,” Grenstad recalls.
The idea is less about Cubeia providing another AI tool than making its platform and data accessible to AI infrastructure customers are already building themselves. Cubeia is now running a pilot based on the landing-page use case.
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That impact, he argues, comes from preparation as much as product. Splash Tech works with partners to establish expectations and benchmark performance against relevant KPIs before launch. On the free-to-play side, the picture is similarly collaborative rather than automatic.
“Wherever there is investment from the operator or the platform in properly investing in the infrastructure needed to maximise the output of the product, we have seen great returns, ROI, on that investment,” Wilson says.
In other words, there is no magic “engagement” button. There are tools, expertise and an operator willing to put both to work.
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The framework also urged companies to implement rollback mechanisms and “kill-switch” controls for higher-impact systems.
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.