Knowledge Management with LLMs

Smart knowledge, right where you need it.

We’ve developed an AI-powered knowledge management platform based on large language models (LLMs) and Retrieval-Augmented Generation (RAG) architecture. It integrates with your operational systems, ERP/CRM, and internal communication tools. The platform supports maintenance, sales, and communication – whether on the shop floor, in the office, or in the cloud – providing fast access to operational knowledge and documentation, regardless of the user’s experience level.

Why does this solution matter?

In many organizations, operational knowledge is fragmented and difficult to use in daily work. Technical documentation exists in multiple formats and locations – from PDFs and paper manuals to network folders. The history of previous failures may be stored in isolated systems with limited access, while valuable employee knowledge often resides only in memory or private notes. In practice, this means that access to critical information is slow and inconsistent, and decision-making is often based on intuition or incomplete data.

Our AI knowledge platform centralizes key resources — documentation, logs, service tickets, and notes — and makes them instantly accessible. Thanks to natural language queries and real-time responses, employees get precise answers backed by verified sources. The result: faster problem-solving, better operational decisions, and fewer repeated mistakes. The organization becomes more efficient, predictable, and resilient.

What challenges do clients face before implementing this solution?

Searching across multiple formats and systems

technical documentation is stored in PDFs, scans, directories, etc., increasing the time needed to find relevant data

Intuition-driven maintenance and emergency response

in critical moments, teams often rely on the experience of one person, increasing repair time and risk

Loss of operational knowledge due to staff turnover

much of the expertise is not formally documented, leading to a “knowledge drain” when employees leave

Data silos and lack of integrated access

incident history, machine logs, procedures, and documentation live in separate systems, delaying decisions and actions

What are the benefits of an AI-powered knowledge management platform with LLM?

Real-time access to knowledge – users can ask questions in natural language and receive instant, contextual answers with clear sources.
Preservation and archiving of operational knowledge – team know-how is retained despite staff turnover; all solutions are documented for future reference.
Scalability and reduced downtime – an integrated knowledge base and faster diagnostics help reduce machine downtime and boost operational efficiency.
Smart data integration – the system connects technical documentation, service history, machine logs, notes, and checklists — eliminating manual searching.
24/7 availability and ease of use – accessible across all shifts, regardless of user experience; the interface requires no advanced IT skills.
Data security and control – the platform runs in a client-controlled environment, processing only selected internal data; it can be deployed on-premises or in the cloud.

4D Implementation Model of the AI Platform

We work with the client to map processes, data sources, existing infrastructure, and key challenges.

We define the integration architecture (ERP, CRM, HMI systems, machine logs), agent roles, knowledge scope, and security protocols.

We carry out system integration, platform configuration, knowledge migration, testing, user training, and solution piloting.

After launch, we monitor performance, optimize agents, expand the knowledge base, and scale the platform to new departments or functions.

What do you gain by working with us?

Significant reduction in repair time (MTTR) and operational downtime.
Retention of operational knowledge and better information accessibility – even during employee turnover.
Increased productivity of technical and operational teams – fewer errors, less time spent searching for information.
Scalable implementation – the platform can be extended to new areas without major infrastructure overhauls.
Better operational decisions thanks to real-time data access, system integration, and a complete data view.

Where is an AI knowledge platform essential?

Industrial manufacturing plants – e.g. pharmaceutical production lines, where downtime is costly; the AI agent supports maintenance, diagnostics, and access to machine documentation.

Sectors with complex technical infrastructure – such as logistics, energy, or heavy industry, where documentation, incident history, and knowledge access are vital for uptime and safety.

Sales and customer service teams – especially B2B companies with complex product knowledge, aiming to speed up responses, lead qualification, and CRM/ERP integration.

Multi-site or international organizations – operating in multiple locations, systems, and languages; the platform works globally or on-premise, delivering consistent knowledge across the company.

Organizations undergoing digital transformation – investing in back-office automation, knowledge-sharing across teams and systems, and transferring know-how from employees to a shared, searchable platform.

An LLM-powered AI knowledge platform transforms operational knowledge and documentation into a strategic asset — accessible to every user, at any time. With integration into ERP/CRM systems, operational tools, and natural language interaction, your organization gains flexibility, faster responses, and a lasting operational edge.

FAQ

Our platform is an intelligent solution based on language models (LLM) and RAG (Retrieval‑Augmented Generation) architecture that enables fast, contextual access to operational knowledge within an enterprise. It integrates with ERP, CRM, operational and communication systems to provide users with answers to questions posed in natural language — regardless of location, shift, or experience level. This makes knowledge stored in documentation, logs, tickets, and notes immediately available and useful in daily operations.

Deploying our platform significantly shortens time to information and accelerates operational decision‑making. By centralizing knowledge and providing a natural language interface, users can get answers quickly without having to search through multiple systems and documents. The platform prevents knowledge loss associated with employee turnover, reduces downtime, improves team efficiency, and increases the predictability of organizational performance.

We apply a proven 4D methodology consisting of four stages. We begin with Discovery, where we analyze processes, knowledge sources, and IT infrastructure. Next, in the Definition phase, we design the integration architecture, determine the scope of knowledge, and define the platform roles. In Delivery, we implement integrations, configure the platform, migrate data, and train users. The final stage, Direction, involves monitoring system performance, expanding the knowledge base, and scaling the solution to additional departments or locations. The implementation is fully tailored to the organization’s specifics.

Yes, the platform is designed for integration with a client’s existing systems. It works with ERP, CRM, HMI systems, machine logs, documentation repositories, and other data sources. It does not require system replacements or major infrastructure overhauls.

Our solution is technically flexible. To run it, you need a server environment or access to cloud infrastructure and interfaces that enable integration with key systems (ERP, CRM, etc.). We provide full support for configuration, security, data migration, and testing. The platform can operate entirely on‑premise if internal security policies require it, or as a cloud‑based solution — depending on the client’s preferences.

Data security is our priority. The system operates only on the data specified by the organization — it neither collects nor processes information outside the client’s environment. We can deploy it on‑premise or in the cloud according to IT policy. Access to knowledge and documents is controlled at the user level, and every operation can be logged and audited in line with compliance requirements.

Yes, we offer the option to run the platform within a pilot phase. Together with the client, we choose a specific department or knowledge area, configure the system, integrate it with selected data sources, and allow users to test features in practice. This phase allows you to assess the real value of the solution before full implementation.

After deployment, we provide ongoing technical and functional support. We monitor system performance, adapt search models to changing organizational needs, and help expand the knowledge base. We can also train new users, build integrations with additional systems, and advise on scaling the solution to new business areas.

By using our platform, you will see significant reductions in repair times (MTTR), reduced downtime, and increases in operational efficiency. With knowledge retention, you won’t lose key information even with employee turnover. Teams work faster, make fewer errors, and make better decisions because they have a full view of real‑time data. The platform helps transform scattered knowledge into a strategic asset that enhances your company’s competitiveness.

Our solution is especially useful in manufacturing plants, technical industries with extensive infrastructure (e.g., logistics, heavy industry, energy), as well as international companies and organizations with multiple locations. It also works well in sales and customer service departments and anywhere fast, precise access to knowledge is critical — such as responding to customer inquiries, diagnosing issues, or managing documentation.

Usługi AI

Usługi

Produkty dla produkcji

Wszystkie Case Study

Wszystkie Blogi