Generative BI, AI Agents and MES: The New Operational Intelligence for Manufacturing

Business Intelligence in manufacturing is undergoing a major evolution.

For years, production data analysis has relied on static reports, preconfigured dashboards and manual data extractions. These tools are useful, but they are often not aligned with the speed of decision-making required in today’s industrial environments.

With the integration of Generative BI, AI Agents and the MES, this paradigm changes significantly.

The goal is no longer just to collect and visualize data, but to make it immediately accessible, understandable and actionable within factory operational processes.

Business Intelligence Integrated with the MES

The MES is the informational core of production. It collects data on work order progress, machine status, downtime, line performance, cycle times, scrap, OEE and many other key indicators for managing operations.

By integrating a Generative BI system directly with the MES, it becomes possible to query this data through a conversational interface using natural language.

Instead of navigating through reports, filters or different screens, production managers, operations managers and shop floor teams can simply ask the system questions such as:

“What were the main causes of machine downtime over the last month?”

“What is the progress of work orders compared to the production plan?”

“Which lines are experiencing the highest inefficiencies?”

“Show me OEE by department, shift and machine.”

“Which orders are delayed compared to the schedule?”

The system interprets the request, accesses MES data, aggregates the relevant information and returns answers, analyses and dynamic dashboards updated in real time.

The Role of AI Agents

The added value of this architecture comes from its integration with specialized AI Agents.

AI Agents do not simply generate text-based responses. They support the entire process of interpreting, orchestrating and analysing data.

They can understand the context of the request, select the most appropriate data sources, apply aggregation logic, compare time periods, highlight anomalies and generate operational insights aligned with the user’s needs.

In this way, Business Intelligence becomes closer to how people actually work in production: through questions, rapid analysis, targeted checks and decisions that need to be made quickly.

Real-Time Dynamic Dashboards

One of the most relevant elements of Generative BI integrated with the MES is the ability to create real-time dynamic dashboards.

Dashboards are no longer only predefined tools to be consulted periodically. They become views generated according to a specific information need.

A user can request an analysis on a machine, line, department, work order or specific time interval. The system generates an updated representation of the data, making it easier to monitor performance and identify critical issues promptly.

This accelerates operational analysis and reduces the time required to move from data to decision.

From Industrial Data to Operational Insight

In an increasingly complex production environment, data availability alone is no longer enough.

True value comes from the ability to quickly transform industrial data into usable information: understanding why a line is losing efficiency, which downtime causes are having the greatest impact on productivity, which work orders are at risk of delay or where deviations from the production plan are occurring.

Generative BI integrated with the MES makes this information immediately accessible, reducing reliance on manual analysis and improving decision-making speed.

Benefits for Manufacturing and Operations

The integration of Generative BI, AI Agents and the MES enables a new model of operational intelligence, delivering concrete benefits for industrial organizations:

• greater visibility into production KPIs;

• reduced analysis time;

• easier access to MES data;

• real-time performance monitoring;

• faster identification of inefficiencies and anomalies;

• support for operational and managerial decision-making;

• stronger alignment between production, operations and management.

The result is a more transparent, responsive and data-driven factory.

Towards a Conversational Factory

The smart factory is not only a connected factory.

It is a factory capable of making data understandable, contextualized and available exactly when it is needed.

With Generative BI integrated with the MES and supported by AI Agents, interaction with production data becomes more natural, immediate and action-oriented.

It is a new way to experience Business Intelligence in manufacturing: no longer as a tool separated from operational processes, but as intelligence embedded in the daily work of operations.

The future of manufacturing will be increasingly conversational, data-driven and integrated.