The rise of AI was expected to revolutionize customer service, promising a future where customers could access support at any hour with a knowledgeable AI agent ready to assist. However, many users still find their experiences lacking, often feeling that automated systems prioritize keeping them away from human agents rather than resolving their issues. When these frustrated customers resort to navigating lengthy FAQs or are simply redirected with no solution, it might still be considered a success by the service provider. This outcome can lead to repeated inquiries, customer loss, and in the gambling industry, it raises alarms about financial issues or responsible gambling practices, posing regulatory challenges.
Since its inception in 2019 as Conduet, New Jersey-based Raphie has emphasized effective resolution and “accountable automation” within its AI platform tailored for iGaming. With a foundation of over one million real interactions in the industry, Raphie's technology takes into account both industry knowledge and account histories to determine the necessary actions for inquiries.
Co-founder and CEO Justin Heath explains, "A big premise on which we have built Raphie is to completely avoid that situation where it feels as though you are talking to a robot that does not know what you are asking."
The effectiveness of Raphie's approach is evidenced by a U.S. sportsbook client that has achieved customer satisfaction scores exceeding 90% through its fully automated service. Such results, combined with Raphie's industry specialization, form the basis for its expansion ambitions into European markets.
Raphie's drive into Europe stems from findings indicating that generic AI systems often fall short of addressing the specific inquiries typical of iGaming operators. The company notes that around 90% of inquiries in this sector necessitate account-specific information, yet many players looking for updates on transactions or gameplay return only general information that fails to resolve their questions. Questions about bet settlements, bonuses, or specific game rounds often reveal a need for detailed knowledge that generic systems lack.
To bridge this gap, Raphie utilizes a "context layer" that integrates with operators' existing systems for account management, wagering, and customer service. This enables it to gather relevant information while adhering to the operator's procedures for responses.
While some operators may initially dismiss the necessity for specialized solutions, Heath highlights the significant disparity between the performance promised by generic AI tools and the reality. "Operators will tell us they are using Salesforce or Zendesk and already have an AI tool available," he states. "They expect the 70% or 80% automation advertised on the box, but then find it is more like 5% or 10%."
Raphie's platform offers an alternative that harmonizes automation and human intervention. Its system can be tailored to meet an operator's specific requirements, featuring options like Full Automation, which resolves interactions independently, to Co-Pilot functionalities that assist human agents with suggested responses. Additionally, operators can access Raphie's human agents for complex support needs from locations including Jersey City and the Philippines.
Through experience with clients like Arkansas sportsbook BetSaracen, which embraced Co-Pilot before implementing Full Automation, Raphie demonstrates the potential benefits of integrating its AI modes. In the first eight weeks after adopting Full Automation, BetSaracen achieved a 77% autonomous resolution rate and a response time reduction of over 55%, while maintaining customer satisfaction above 90%.
Unlike some platforms that measure success merely by counting concluded conversations, Raphie considers various factors, including customer satisfaction, agent intervention, and whether customers return with the same issue within 24 hours. To further ensure quality, it employs large-scale quality assurance practices to identify cases where conversations were abandoned prematurely, which Heath identifies as a negative outcome indicative of unresolved issues.
As the rollout of automation expands, Raphie suggests a controlled four-stage approach for operators. This starts with assessing inquiries and workflows before entering a shadow mode for response testing. Gradual introduction allows for continuous optimization as user behavior and product offerings evolve.
Heath notes, "We usually start with a narrow automation scope and then expand it as we prove the resolution and the human-like response."
Raphie's method supports a balance between automation and necessary human oversight, especially for sensitive inquiries or those that signal responsible gambling concerns. Heath explains, "If somebody asks about a pending withdrawal and then says they need the money to pay their rent, that type of flag is escalated straight through to the relevant team."
With its sights set on Europe, Raphie aims to adapt its strategies to the region's varied regulatory landscape, where compliance requirements and player protections can differ substantially from North America. European operators already possess sophisticated customer service frameworks, bolstered by experienced teams that understand local challenges. Nevertheless, pressures from rising gambling taxes are prompting these operators to rethink operational costs and the deployment of technology and personnel. Raphie's services offer a potential reduction in customer support costs by over 60%.
Heath remarks, "European markets are under far more cost pressure, so the desire to move quickly with AI seems to be there. We are seeing interest from small operators right through to some of the biggest globally."
Raphie's model promises to enhance problem-solving capabilities for iGaming operators while optimizing costs, reserving human expertise for genuinely complex cases. As a result, customers can anticipate more straightforward communication and, ultimately, effective resolutions rather than frustration.
