Operators Need to Know Their Platforms Before AI

GR8_TECH's Chief Client Officer Kateryna Pozdnysheva says that the power of AI in iGaming operations depends less on how advanced the technology is and more on how well operators understand their existing platforms.

According to Pozdnysheva, AI does not decide anything on its own. Behind every output there is a human request, and the quality of the output is limited by the quality of that request. If the team does not know where its current reports, dashboards and data sit, or what they measure, it cannot ensure the model receives the right input or judge whether the answer it returns is accurate.

This leads to a common problem. Operators add AI while they have only partly explored their platform, and when the results fall short of expectations, they blame the tool. Yet according to Pozdnysheva, the source of the problem often lies in the problem itself.

The providers' share of the work is to make the platform understandable. This covers readable documentation, honesty about current limits, an onboarding process that teaches how the system works, and quick answers to questions from partners. The operators' share is to keep someone on the team who knows how the platform is actually configured, and to include that person at the table when decisions are made.