Information and Knowledge Management
AI-powered knowledge for daily operations
Smart RDM uses artificial intelligence not only for predictive analytics and process automation, but also for building and managing knowledge within an organization. The platform transforms industrial data, documentation, and employee notes into a practical knowledge base accessible through an intelligent assistant (AI agent) that supports users at every stage of their work. This gives operators, engineers, production supervisors, and managers quick access to the right information, contextual recommendations, and step-by-step prompts. The result is faster response times, higher efficiency, and more accurate business decisions.
The Smart RDM AI assistant is:
Knowledge building
AI consolidates technical documentation, reports, procedures, notes, and employee experience in a single, dedicated module.
Natural language interaction
With Smart Chat, users ask questions by typing or speaking in Polish, English, Chinese, or any other language, and the system responds contextually and based on the data available to the user.
Operational recommendations
AI suggests what actions to take, explains the causes of problems, and guides you step by step through the process of solving them.
Key features of the AI assistant in Smart RDM
Organizational knowledge management
Consolidation of technical documentation, reports, procedures, and employee experience in a single module.
Smart Chat
Asking questions in natural language, including voice; answers generated based on data, documentation, and procedures available to the user.
Zero hallucinations
The assistant provides answers based only on verified sources, with a link to the document or data. Ability to block incorrect content.
Integration with CDR
Recommendations linked to data from the central repository and relevant forms.
Practical operational support
Identification of causes of downtime, suggested corrective actions, transition to the source of information.
Reduced response time
Quick access to knowledge without searching through documentation.
Culture of continuous learning
Sharing experiences, creating a digital memory of the organization.
Industrial knowledge management in practice
The knowledge management module in Smart RDM translates scattered information – technical documentation, procedures, instructions, training materials, and employee knowledge – into uniform, easily accessible resources that support everyday work. Thanks to integration with an AI assistant and a central data repository, the organization creates a structured, constantly updated “digital operational memory.” The following examples show how Smart RDM improves access to knowledge in various areas of activity.
Health and safety information in one place
Up-to-date instructions, procedures, and policies always at your fingertips – an important part of safety and compliance.
Continuous improvement and training
Access to training materials supports the development of competencies throughout the organization.
Workstation instructions
Operators can immediately open the current documentation for equipment in the relevant process context.
Search engine and subscriptions
Built-in search and notification mechanisms ensure access to the right information at the right time.
Cloud integration
Support for Google Drive, OneDrive, and network repositories allows your organization to leverage existing resources.
Process history
Access to an archive of events and processes allows you to analyze their evolution over time.
Advanced analytics and predictive models that support management decisions – from maintenance prioritization to energy optimization – without requiring in-house data science teams.
Smart RDM turns data, documents, and experience into practical operational support.
When an event occurs, the system:
- indicates possible causes,
- suggests corrective actions,
- guides the user through the process step by step,
- records all actions to ensure full auditability.
This allows the organization to operate faster and more reliably – and knowledge is not scattered, but available exactly when it is most needed.
Security and data access management
Implementing artificial intelligence in industry requires not only effective algorithms, but above all, complete data security. Smart RDM has been designed in accordance with cybersecurity standards to ensure complete control over who has access to what data and when.
Full security control – roles, zones, and permissions
Smart RDM provides a granular, hierarchical permission model that includes:
- User roles (operator, shift supervisor, manager, business administrator)
- Context-restricted access zones (instructions, procedures, customer data, etc.)
- Data and documentation permissions – each user sees only the data to which they have been granted access by the organization
- Permissions for AI models and recommendations – the Assistant responds only based on data from areas to which the user has access
AI that does not leak data and does not hallucinate
The Smart RDM Assistant operates in a “zero trust” and “zero hallucination” model:
- AI has no access to any data other than that within the scope assigned to the user
- responses are generated solely on the basis of verified sources, documents, and data from the CDR
- Each response contains a link to the source – full auditability
- no data exchange outside the customer instance (no use of public models for training)
Data isolation and compliance with European regulations
The platform operates in an architecture compliant with:
- NIS2, ISO 27001, GDPR
- Data Governance Act and AI Act
- critical infrastructure security standards
- Customer data is processed exclusively within the organization’s environment (on-premise or European cloud compliant with EU requirements). No data transfer to entities outside the EU.