Technology provider IPS has outlined its roadmap for artificial intelligence in the gaming sector, presenting a comprehensive vision for multiagent AI systems at Expojoc 2026. The company's approach emphasizes moving beyond traditional data analysis toward AI that actively participates in operational decision-making.
Josep Prieto, Head of Project Implementation and Consulting at IPS, participated in the roundtable "Digital Trends: AI, Crypto-Casinos and the Proliferation of Illegal Gambling" where he shared the company's perspective on AI's evolving role in the gaming industry.
From Reactive Tools to Active Decision Partners
The gaming sector has undergone significant technological evolution, progressing through distinct phases of development. Initially focused on management and telemetry systems, the industry advanced through dashboards and alerts before reaching today's frontier: AI agents capable of analyzing information and proposing actions.
IPS argues that this represents a fundamental shift from AI as a reactive reporting tool to an active element in decision-making processes. The company's vision centers on abandoning traditional assistant-based or chatbot solutions in favor of multiagent AI models where specialized agents work in coordination.
Multiagent AI Architecture
Unlike single AI systems, multiagent architectures deploy specialized AI units that handle specific domains (fraud detection, customer service, technical diagnostics) while coordinating through a central management layer. Each agent develops expertise in its area while sharing insights across the network, creating redundancy and improved accuracy compared to monolithic AI solutions.
Comprehensive Operational Coverage
The proposed multiagent systems target core operational processes that define gaming operator efficiency. These include technical support and incident diagnosis, failure prioritization, accounting reconciliation, and commercial analysis and decisions on machines or contracts.
According to IPS, these integrated systems deliver measurable benefits: improved diagnosis capabilities, enhanced support scalability, and reduced operational burden. The technology creates a unified information view that facilitates more informed decision-making across all operational areas.
Speed and Intelligence as Competitive Advantages
IPS emphasizes that future competitive advantage will not derive from data volume alone but from the ability to make superior decisions in shorter timeframes. The company positions AI as an additional analytical and recommendation layer that operates under human supervision.
“The advantage will not belong to those who use more AI, but to those who use it with criteria.”
— Josep Prieto, Head of Project Implementation and Consulting at IPS
Three Pillars of Responsible AI Implementation
IPS outlined three fundamental pillars for responsible AI deployment in gaming operations. Data security ensures control over information usage and processing locations. Traceability provides the capacity to explain each recommendation generated by AI systems. Human supervision maintains the principle that technology proposes while final decisions remain with the company.
This framework addresses risks associated with uncontrolled AI usage, where recommendations without proper context can lead to erroneous decisions.
AI Audit Trail Best Practices
Operators should implement decision logging systems that capture AI recommendation timestamps, input data sources, confidence scores, and human override instances. This creates regulatory compliance documentation and helps identify AI bias patterns. Consider using blockchain-based immutable logs for high-stakes decisions to ensure audit trail integrity.
Strategic Positioning in Gaming Technology
Through this presentation, IPS reinforced its position as a technology company focused on delivering practical solutions to gaming operators. The approach represents a significant shift from traditional AI applications in analysis toward direct involvement in decision-making processes.
The company demonstrated its commitment to supporting operators through dedicated consulting teams that analyze and advise on implementing these advanced AI solutions.
Implications for Industry Evolution
IPS's multiagent AI vision suggests the gaming industry stands at a critical technological inflection point. The transition from data-driven reporting to AI-assisted decision-making could fundamentally reshape operational efficiency and competitive dynamics. Companies that successfully balance AI capabilities with human oversight may establish significant advantages in an increasingly complex regulatory environment.
According to AzarPlus.
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