OEE Booster – AI System That Reduces Downtime and Increases Machine Reliability

Challenges in Maintenance – Why Traditional Approaches Fall Short

In manufacturing plants, every machine downtime translates into real costs – delivery delays, lost productivity, and often quality issues. Even with preventive maintenance, unexpected breakdowns still occur and require fast intervention.

Traditional diagnostics often rely on the experience of engineers or verbally shared knowledge within the team. Vendor documentation and past incident reports tend to be scattered, and finding them in a crisis consumes time—something that’s always in short supply during a breakdown. When an experienced technician leaves the company, their practical knowledge often leaves with them. New employees have to learn from scratch, often relying on the limited number of experts available during their shift.

Shift work further complicates things, as knowledge doesn’t always transfer seamlessly between operators and maintenance staff.

The result? Longer repair times (MTTR), lower machine availability, and rising costs for the company.

How Does OEE Booster Work?

OEE Booster is an intelligent assistant powered by artificial intelligence and Retrieval-Augmented Generation (RAG). It supports engineers and operators in resolving technical issues faster. The system does not replace existing tools such as ERP, MES or CMMS. Instead, it provides an intelligent layer for accessing and using the knowledge available within these systems.

Access to Knowledge in Seconds

The system analyzes manufacturer documentation, failure history, technician notes, and internal safety procedures. OEE Booster supports a wide range of file formats, including PDF, Word, Excel, text files, exported procedures, as well as scanned documents and images through built-in OCR capabilities. This allows engineers to ask questions in natural language and receive precise answers based only on verified sources. Users can always see which document the answer is based on and verify the information themselves. Minimizing the risk of AI “hallucination.”

Queries can be submitted in any language. The system responds in the user’s preferred language, even if the source documentation is written in another language. This is particularly valuable for multinational manufacturing teams, where technical documentation is often provided by international machine manufacturers.

Reducing MTTR and Increasing MTBF with AI

OEE Booster shortens diagnosis and repair times (MTTR – Mean Time to Repair) while extending the mean time between failures (MTBF). The result: greater equipment availability, fewer downtimes, and real savings in maintenance operations. The system is machine-agnostic and works equally well with packaging machines, cartoners and any other production equipment, provided that the relevant technical documentation is available.

Key Performance Indicators (KPIs)

During the system pilot, the following results were achieved:

• MTTR – Repair time reduced by an average of 25–30%
• MTBF – Time between failures extended by 15%
• Technician time savings – Up to 40% less time spent searching for information
• Faster onboarding – 30% reduction in training time for new employees
• The project becomes profitable with as little as a 10% reduction in downtime. In practice, the results achieved typically exceed this threshold by a significant margin.

These numbers show that OEE Booster isn’t just another theoretical tool—it’s a real, practical support system for maintenance teams.

Pilot Results – Benefits for Technicians and Operators

Technicians appreciated the ability to instantly refer to past cases and proven solutions. Operators—especially those on night shifts—gained 24/7 access to expert knowledge, even when specialists weren’t on-site. Every shift has immediate access to the knowledge and activity history of the previous shift. This eliminates information gaps between shift changes.

In some cases, repair times were reduced from around an hour to just a few minutes. When the system didn’t have a ready answer, it clearly stated “I don’t know,” allowing teams to consult manuals or contact OEM support promptly. This transparency made the entire incident response process faster and more efficient.

As a result, not only did the speed of troubleshooting improve, but also the sense of autonomy and confidence among production line staff. Operators can resolve up to 40% of equipment failures on their own without involving the maintenance department. This reduces the workload of maintenance engineers and allows them to focus on more complex tasks.

The system is now being deployed at a larger scale across more departments, progressively expanding benefits and boosting operational efficiency. Experience from the first implementations shows that the key to success is involving both maintenance specialists and machine operators from the pilot phase onward.

Business Benefits for Managers

For production and maintenance managers, OEE Booster delivers:

• Reduced downtime costs through faster repairs
• Better machine utilization
• More efficient planning of service resources
• Shorter onboarding time for new operators
• Unified knowledge across teams—regardless of shifts or staff turnover

Additionally, the system is highly flexible: it can be deployed on-premise or in the cloud (Azure, AWS, GCP), and integrated with MS Teams or other communication platforms. In the cloud deployment model, both the infrastructure and data processing are located within Europe. This meets the security requirements of regulated industries such as pharmaceuticals and food manufacturing.

OEE Booster in Practice – More Than Just Maintenance

Although initial implementations focused on supporting maintenance departments, OEE Booster also proves valuable across other business areas:

• Training – automatic generation of tests and educational materials. It also enables faster onboarding of new employees by providing immediate access to procedures and operating instructions.
• IT project management – instant access to documentation and tickets
• Construction – verification of contracts and handover protocols
• Finance & Controlling – fast search across reports and case studies

OEE Booster Security – Full Control Over Your Data

Implementing AI solutions in manufacturing and maintenance environments requires the highest standards of data security. OEE Booster is designed to ensure maximum information protection and eliminate risks associated with AI use in industrial settings. The system does not use the internet or external knowledge sources. It generates responses exclusively from documents provided by the customer.

Security

• The system operates exclusively on pre-approved data sources (manufacturer documentation, internal procedures, failure logs). This eliminates the risk of random AI “hallucinations” and guarantees full control over outputs.
• In on-premise mode, all data remains entirely within the client’s infrastructure—no risk of external leakage.
• In the cloud version (Azure, AWS, GCP), OEE Booster offers enterprise-grade security, high availability, and native integration with communication tools such as MS Teams. The cloud infrastructure is located within Europe, ensuring compliance with data processing regulations.
• The knowledge base updates automatically—the system detects new or modified files and makes them instantly searchable. When a new version of a procedure is uploaded, the previous version is automatically replaced, ensuring that users always work with the latest documentation. Automatic synchronisation with the company’s document repositories, including SharePoint, DMS and CMMS, is also supported.
• Access to the system is controlled through roles and permissions. Separate views can be configured for operators, maintenance technicians and maintenance engineers. Each user role sees exactly the information needed to perform its tasks.

Our 4D Methodology – The Foundation of Successful Deployments

OEE Booster is developed and scaled using our proven 4D implementation framework:

1. Discovery
   Identify challenges, analyze needs, and define business goals.
2. Definition
   Design the solution architecture, define risks, and estimate costs.
3. Delivery
   Deploy, test, and launch the system smoothly.
4. Direction
   Strategically support the client long-term: evolve the product, drive innovation, and scale operations.

This approach makes OEE Booster more than a tool—it becomes a long-term partner in boosting operational efficiency.

Long-Term Support and Growth Strategy

The greatest value of OEE Booster lies not only in providing rapid support during breakdowns, but also in its strategic contribution to production development. The system continuously learns from new cases and automatically updates its knowledge base. With each passing month, it becomes more effective and valuable.

OEE Booster is not a one-time implementation—it grows alongside your organization. As your company evolves, you can:

• Scale the system to new production lines, departments, or entire plants
• Integrate it with other systems (ERP, CMMS, MES, quality systems) for a complete production data ecosystem
• Expand its applications – from maintenance to quality control, reporting, and financial analytics
• Introduce AI-powered innovations supporting predictive maintenance and automated resource planning

Want to see how OEE Booster performed in practice? Read our case study, where we describe the process and results of the implementation at our client. You can find more about the solution itself on the OEE Booster product page.

If you want to see how OEE Booster can improve machine reliability and reduce downtime costs in your plant, get in touch with us – we’ll show you how it works in practice.