IPS outlines multi-agent AI vision for gaming at Expojoc 2026

IPS has outlined its strategic vision for implementing secure, multi-agent artificial intelligence systems in the gaming sector during its participation at Expojoc 2026. The company's approach centers on developing next-generation systems capable of real-time analysis, coordination, and decision recommendations under strict human supervision and control.

From Reactive Tools to Active Decision Partners

Josep Prieto, Head of Project Implementation and Consulting at IPS, participated in the roundtable This is a direct quote, should not be changed where he presented the company's perspective on AI's evolving role in the industry.

During his presentation, Prieto emphasized how the gaming sector is transitioning from data-based systems and reporting toward a new phase where AI transforms from a reactive tool into an active decision-making component. The industry has already progressed through several technological phases – from management and telemetry systems, through dashboards and alerts, to the current scenario where AI agents can analyze information and propose specific actions.

Multi-Agent Systems Replace Single Assistants

IPS proposes a fundamental paradigm shift: moving from assistant or chatbot-based solutions to multi-agent AI models where specialized agents work in coordinated fashion. This approach addresses key operational processes for gaming operators, including:

According to the presentation, these systems enable improved diagnostics, scaled support capabilities, and reduced operational burden by integrating information into a comprehensive view that facilitates decision-making.

Speed and Quality in Decision-Making

A central message from the presentation focused on competitive advantage shifting beyond data volume to decision quality and speed. IPS advocates for a model where AI functions as an additional analysis and recommendation layer, always operating under human supervision.

"La ventaja no la tendrá quien use más IA, sino quien la use con criterio"

— Josep Prieto, Responsable de implantación de proyectos y consultoría at IPS

Three Pillars of Responsible AI Implementation

IPS emphasized the critical importance of implementing AI responsibly, establishing three fundamental pillars:

Data Security: Controlling what information is used and where it is processed, ensuring operators maintain oversight of their sensitive gaming data.

Traceability: Maintaining the ability to explain each AI-generated recommendation, providing transparency in automated decision-making processes.

Human Supervision: Technology proposes solutions, but final decisions remain with the company, preserving human judgment in critical operations.

This framework addresses risks associated with uncontrolled AI usage, where recommendations lacking proper context could lead to operational errors.

Strategic Positioning for Industry Evolution

Through this proposal, IPS reinforces its positioning as a technology company focused on delivering practical solutions to gaming operators, expanding AI applications from analysis into decision-making domains.

The company demonstrated this commitment through its exhibition presence, where representatives engaged with industry professionals about implementing these advanced AI solutions in gaming operations.

Industry Impact and Future Applications

This multi-agent AI framework positions gaming operators to leverage artificial intelligence for enhanced operational efficiency while maintaining regulatory compliance and operational control. The approach addresses growing industry demands for automated yet supervised decision-making in critical gaming operations, similar to how iGaming talent acquisition now emphasizes AI literacy alongside remote hiring capabilities. IPS has made its technical team available to operators interested in analyzing and implementing these AI solutions within their operational frameworks.

According to AzarPlus.