AIJU participates in this project aimed at promoting agentic AI for industrial decision-making. All of this will enable improvements in quality management, production, and intralogistics through supervised autonomous systems.

Digital transformation has enabled industrial companies to access large volumes of data from management systems, sensors, and monitoring platforms. However, converting this information into efficient operational decisions remains one of the industry’s main challenges. In this context, AGENTIC-CORE emerges as a project led by AIJU together with AIDIMME and ITENE, focused on the development of an agentic artificial intelligence framework for industrial environments, capable of safely closing the data-decision-action cycle through supervised intelligent agents.

Problem to be solved

Currently, industrial companies use tools such as ERP, MES, WMS, and IoT systems that provide valuable information for managing their processes. Nevertheless, decision-making continues to depend largely on operators’ experience and the manual interpretation of available data.

This situation generates significant limitations related to:

• Speed of response to incidents.
• Coordination between areas such as quality, logistics, and production.
• Traceability of decisions made.
• Efficiency in resource management.
• Adaptation to changes in demand or operating conditions.

Given this scenario, it is necessary to develop new solutions based on industrial artificial intelligence, capable of analyzing the operational context, generating justified recommendations, and facilitating the controlled execution of actions.

General objective

The main objective of AGENTIC-CORE is to develop and validate a trustworthy agentic AI architecture for industrial operations, capable of integrating information from different business and production systems to improve decision-making through mechanisms of supervised autonomy, traceability, explainability, and cybersecurity.

The solution will be aligned with the principles of Industry 5.0, promoting efficient collaboration between people and intelligent systems.

Specific objectives

• Design a common agentic artificial intelligence framework applicable to different industrial environments.
• Develop contextual reasoning mechanisms for data-driven decision-making.
• Incorporate Human-in-the-Loop (HITL) models that allow human supervision of the actions proposed by intelligent agents.
• Ensure the traceability and explainability of the decisions made by the system.
• Integrate cybersecurity and operational control measures by design.
• Validate the technology through industrial pilots in the fields of quality, production, and intralogistics.
• Facilitate knowledge transfer and the adoption of advanced AI technologies by the business sector.

File and execution period

Project Reference Number: IMIDSA/2026/16
Start Date: 01/07/2026

Duration: 18 months
Status: Ongoing
Grant Amount: €138,046.08

COORDINATION CONTACT

Name: Sergio Rozas
Telephone: +34 96 555 4475 (Ext-497)
Email: sergiorozas@aiju.es