ARTIFICIAL INTELLIGENCE
The fi rst AI agent the iGaming industry can actually test
On 1 June 2026, Tugi Tark launched a public demo environment that marked a fresh approach to how the iGaming industry evaluates technology. The launch lets any operator put its iGaming-native AI agent through the exact same player scenarios their customer support teams navigate every day.
O
perators can test the system against complex withdrawal queries, bonus disputes, gameplay technical issues, multilingual conversations, and Responsible Gaming fl ags.
With just a quick email verifi cation, the AI agent demo is live in front of you on desktop or mobile. It is a unique opportunity for the industry to test a true AI support agent against real iGaming scenarios in a public domain, offering immediate access and total hands-on transparency from day one.
TURNING OPERATIONAL PRESSURES INTO OPPORTUNITIES The iGaming industry is navigating a demanding operational landscape. Player acquisition costs continue to rise while regulatory oversight tightens across global jurisdictions. At the same time, player retention hinges on the speed and quality of the user experience. When a player encounters a payment hitch or a bonus discrepancy at 2am, they expect a quick and seamless resolution. They do not want to wait in long queues or interact with a rigid chatbot that does not understand basic casino terminology. In the past, bringing automation into an iGaming environment meant adapting generic, cross-industry software to fi t casino workfl ows. Because those horizontal platforms are built to serve a wide range of industries, they are not naturally wired for the complexities of iGaming. Without deep vertical customisation, standard tools simply lack the baseline logic needed to handle nuanced tasks like managing a self-exclusion fl ag or processing specialized compliance workfl ows.
Tugi Tark’s public demo addresses this industry-wide scepticism head-on. By opening the doors to a self-serve test environment, the company invites operators to move past the AI hype and audit the tangible operational value for themselves.
SEE WHAT IGAMING-NATIVE AI CAN DO
The demo environment is built around a fully simulated casino infrastructure. When an operator verifi es their email, the system assigns them a randomized, pre-loaded player profi le carrying its own unique player history. This profi le includes specifi c deposit and withdrawal
10 JUNE 2026 GIO
The AI agent
powering this demo is the exact same
technology used in Tugi Tark’s live production deployments
transactions, KYC verifi cation statuses, recent gameplay activity, and wallet balances. Operators can interact with the AI agent in the context of that specifi c profi le. You can ask it anything a real player would and watch how it responds in real time.
The AI agent powering this demo is the exact same technology used in Tugi Tark’s live production deployments. On average, Tugi Tark’s specialized vertical software delivers clear operational metrics: • Resolves more than 80% of player tickets without human intervention.
• Operates 18 times faster than a top-tier human support agent.
• Costs approximately one-fi fth as much per ticket compared to traditional staffi ng. Furthermore, the AI agent supports 249 languages natively. A player in Stockholm and a player in São Paulo receive immediate, localised support in their own language. The AI understands player slang and gambling terminology without any operational friction delays.
FOCUSING ON FIRST-CONTACT RESOLUTION
The focus for Tugi Tark is moving beyond simple message defl ection. Many automated tools are designed to push users away from support teams and into rigid frequently asked questions (FAQ) pages or generic loops that simply restate basic help centre text. Tugi Tark’s AI agent resolves player queries on
fi rst contact. In the demo, it retrieves information in real time from the simulated player profi le and from policy documents confi gured for the test casino to compose a specifi c, personalized answer. In live deployments, it does the same against the operator’s actual policies, procedures, and player data, backed by an iGaming knowledge base built on more than ten million historical tickets.
This architecture helps ensure accuracy by retrieving data directly from verifi ed sources instead of relying on static memorisation. In the demo, every information source the AI agent retrieves from is displayed transparently in the interface, allowing operators to easily audit each answer themselves.
Try this in the demo: Try making a mock deposit in the simulated casino. Some will succeed, keep going until it fails, and see what happens!
BUILT BY SUPPORT
PROFESSIONALS FOR SUPPORT PROFESSIONALS
The depth of the tool stems entirely from the practical background of its creators. For
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