How to reduce the workload of production managers? Practical application of AI and automation

What do the tools commonly used by production managers in many organizations look like? In the best case scenario, they have access to properly prepared and formatted Excel spreadsheets, into which they regularly enter data. In the worst case, they can count on a supply of paper and pens and a folder in which to keep their documentation. This way of managing work definitely does not allow production managers to be relieved of their workload.

The lack of central management generates numerous problems:

Reduced productivity, lack of team commitment, clutter and errors in files, high employee turnover, stress before audits, and constant complaints from superiors and subordinates—all this means that a production manager burdened with tasks, instead of effectively managing the team and operations, is constantly putting out fires. Fortunately, there is another way to work!

Digitization of production allows for the intelligent use of collected data. At noSilo, we have created AI assistants that significantly reduce the workload of production managers by speeding up and facilitating the execution of repetitive tasks. How does AI support managers in their daily work?

Onboarding new production employees is extremely important for safety, quality, and continuity of work. Industry reports clearly show that organizations with effective onboarding programs achieve faster integration of new employees and better alignment of their responsibilities with the organization’s requirements, which translates into lower turnover. In practice, however, onboarding often falls on the shoulders of the production manager and the most experienced operators. They are the ones who answer questions, explain procedures, and correct mistakes. The result? Overloading key people on the production floor and slowing down the team’s work.

Automating onboarding with AI allows you to change this model. The manager’s assistant supports the planning of the onboarding path: it assigns competencies, training, and development stages, and the manager has constant insight into the employee’s progress. In turn, the Knowledge Assistant available to production employees allows them to quickly get answers to their questions without having to search through documentation or involve their superiors. Here, too, a single chat query is enough for the AI assistant to search the Knowledge Base for information. The employee clears up doubts in seconds, and the production manager regains the time previously spent on repetitive explanations.

Let’s imagine the following scenario. Marek is the most experienced operator – he has been working for the company for 15 years and has not only seen but also participated in process optimization. He has grown with the organization, knows every bottleneck in the production line, and has always been a support for new employees. Unfortunately, the protagonist of our story had an accident and broke his leg, which resulted in him being on sick leave for three months. In this situation, the company has two problems. The first is, of course, the absence of a good employee. The second is the lack of access to his knowledge – until now, in difficult cases, the company relied solely on the competence of Marek, who was always present at work. The company did not ensure the replaceability of employees, which led to a decrease in production efficiency.

Cross training, which involves preparing employees to perform more than one role or operate different machines, is a common solution in manufacturing. The problem is that in many organizations, such interchangeability exists only on paper. Digital competency matrices change this approach. Managers gain immediate insight into who actually has the required skills, at what level, and where the gaps are. Competency matrices also enable early planning of cross-training, just in case of unexpected events.

This solution significantly reduces the workload of production managers. What would our scenario look like if the company used noSilo digital competency matrices? When the manager receives information on Monday morning that Marek has broken his leg and is on long-term sick leave, he will not panic and look for a way out of the situation, but will ask his AI assistant which employee present on the floor has the competence to take over the role of the main operator – and all this will take place without any decrease in the efficiency of other processes.

Efficient communication is one of the most underestimated factors affecting production efficiency. Changes, information about failures, schedule changes, or audit results are often communicated verbally or in scattered notes. As a result, information is lost, interpreted in different ways, or arrives late.

It is worth remembering that real-time access to information for employees leads to higher productivity, motivation, and a sense of loyalty to the organization. That is why it is so important to create a central place for communication. In noSilo, this place is the News module, which acts as an internal bulletin board, familiar to employees from social media. The production manager can publish messages about shift changes, breakdowns, or tasks to be performed, and employees have immediate access to up-to-date information – also directly at their workstations. With the ability to confirm reading and comment on posts, communication becomes two-way and transparent. The manager no longer has to answer the same questions repeatedly, and the risk of misunderstandings is significantly reduced.

Production audits are always stressful. However, thanks to AI and automation, this stress can be significantly reduced. Centralized management of competencies, training, and communication ensures that all information is always up to date and accessible. The production manager does not need to prepare specifically for the audit, as the system keeps track of deadlines, authorizations, and data completeness on an ongoing basis. In addition, the AI Assistant helps to quickly generate summaries and reports that previously required many hours of manual work. In the digital reality, the audit becomes merely a confirmation that the organization is operating exactly as it should.

Relieving production managers of their burden does not mean taking away their responsibilities, but rather equipping them with tools that eliminate chaos, automate analysis, and support decision-making. Using AI and automation for this purpose allows managers to regain time that they can devote to building relationships with their team.

Bibliography:

https://www.researchgate.net/publication/379689942_An_Exploration_Of_Effective_Onboarding_On_Employee_Engagement_And_Retention_In_Work_Organizations; https://www.cornerstone-staffing.com/2025/11/13/how-cross-training-employees-can-improve-productivity-and-flexibility;
https://www.researchgate.net/publication/325090162_Importance_of_internal_communication_Impact_on_employee_engagement_in_organizations.