# Introduction Bettor Sense is a part of the Responsible Gaming Product. The aim of this service is **early detection of problematic gambling powered by artificial intelligence (AI).** **There are several benefits of using Bettor Sense as an operator, to name only a few:** * **Earlier and more accurate detection:** respond faster to early warning signs with the flexibility offered by AI. * **Personalise your interventions:** let data-driven insights guide your interactions with at-risk customers. * **Easy onboarding:** get up and running in as little as a few weeks. * **Protect your business:** meet increasing regulatory compliance requirements that demand more sophisticated RG solutions and avoid severe penalties. Our advanced algorithm is looking at player's betting behavior, financial data and other available behavioural patterns to help you better assess and manage players who are at risk of problematic gambling. By integrating with Bettor Sense you will be able to receive **up-to-date risk scores for active players** within your database along with their **risk categories and different areas that contributed to the scores**. This will allow you to **trigger actions within your existing system** based on regularly updated risk scores and adapt the communication to the severity of the player's risk score. With an **AI-powered predictive approach you can prevent harmful actions** from happening rather than react to them when it's already too late. #### Developed by Experts * Bettor Sense is an innovation project supported by Innosuisse. * Sportradar: AI unit with extensive experience in developing models for the gambling industry. * Zurich University of Applied Sciences: established track record of academic and applied research in computation, data-oriented projects --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.sportradar.com/bettor-sense/introduction-1.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.