explitia.Whisp – AI assistant for manufacturing
Production knowledge available directly in the Production Portal
explitia.Whisp is a module that supports access to production knowledge by using artificial intelligence to search through company documentation. The user asks a question in natural language, while the system finds related document fragments and prepares an answer based on them.
Combined with the organisation’s knowledge base, Whisp helps reduce the time spent manually searching through instructions, procedures and other files. As a result, technical and operational knowledge becomes easier to access for operators, production leaders, technologists, maintenance teams, quality control and other Production Portal users.
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AI assistant for manufacturing: what does explitia.Whisp offer from the user’s perspective?
If your goal is to access the knowledge needed in daily work faster, explitia.Whisp supports you through:
Semantic search across company documentation
Generating answers based on relevant document fragments
Preserving conversation history and the context of follow-up questions
Support for TXT, Markdown, PDF, Word and Excel files
The ability to create scenarios that define the assistant’s role and response style
The use of locally running AI models
Whisp shortens the path from a question to the required information, reducing the need to manually search multiple files or involve experts in repetitive queries.
What is explitia.Whisp?
explitia.Whisp is an AI assistant available in the Production Portal that helps users work with knowledge stored in the organisation’s documentation.
It combines a language model with a knowledge base built from company documents. After a question is asked, the system searches for fragments that are semantically related to the query, considers the conversation history and then uses the retrieved context to prepare an answer.
Whisp therefore does not work only as a general-purpose AI chat. Its answers can take into account knowledge specific to a given plant and stored in instructions, procedures, spreadsheets and other files.
The approach:
- is based on documents added to the company knowledge base,
- uses semantic search to find related information,
- takes into account conversation history and the context of follow-up questions,
- helps users access knowledge without having to know the exact name of a document.
Whisp does not replace approved procedures or the decisions of employees. It extends access to organisational knowledge and helps users reach the information required for further action faster.
explitia.Whisp and traditional information search
Traditional search helps users find a document, while Whisp helps them reach the information they actually need.
Combining a company knowledge base with an AI assistant makes it possible to:
| Reduce manual browsing through multiple documents, |
| Find information without knowing the exact file name, |
| Reach the relevant sections of extensive instructions more easily, |
| Continue an analysis through follow-up questions within the same conversation. |
Whisp supports everyday work with production knowledge instead of functioning only as a catalogue or a traditional document search engine.
How does explitia.Whisp work?
Building the company knowledge base
Documents that are to serve as a source of information for the assistant are added to the system. The knowledge base may include, among others, instructions, technical documentation, procedures, spreadsheets and other materials describing processes and the way the plant operates.
Minimum implementation requirements:
- preparing and organising the documentation,
- adding selected materials to the knowledge base,
- configuring scenarios and the AI model used.
Semantic information search
Documents are processed in a way that allows the system to find fragments semantically related to the user’s question. This means it does not have to rely solely on exact keywords.
Generating answers using context
After a question is asked, the system selects related document fragments, combines them with the conversation history and passes them to the AI model.
The model then generates an answer based on the knowledge available in the database.
Conversation history and scenarios
The system stores the course of the conversation, allowing users to ask follow-up questions without having to describe the entire situation again each time.
Scenarios make it possible to define the role of the assistant, the way answers are prepared and the model configuration for a specific use case.
The most common problems explitia.Whisp helps solve
| Time-consuming searches through documentation |
| Knowledge dispersed across multiple files and people |
| Difficulty finding the right section in an extensive document |
| Dependence on the availability of technologists, leaders and other experts |
| Repetitive questions concerning the same instructions and procedures |
Whisp makes it possible to use accumulated knowledge through a conversation with the assistant and shorten the time required to reach the relevant information.
explitia.Whisp as part of the Production Portal
The Whisp module operates within the Production Portal environment, so users can access the assistant in the same place where they carry out their other tasks.
The solution includes:
Company knowledge base
You get a solution based on your own documents.
Scenarios
Scenarios allow you to tailor the assistant’s role and the way answers are prepared to specific use cases.
Conversation history
The system preserves the conversation history and the context of follow-up questions.
At present, the module focuses on knowledge contained in prepared documents. It does not automatically retrieve live machine data, independently monitor production or perform operations on equipment.
Check out other modules and functionalities of the Production Portal
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Business benefits of implementing explitia.Whisp
| Faster access to knowledge | Users can start with a question instead of manually browsing folders, instructions and other files. |
| Better use of organisational knowledge | Information stored in documentation becomes easier to access for employees who need it in their daily work. |
| Less dependence on expert availability | Some repetitive questions can be handled on the basis of knowledge stored in the system without having to involve a specialist every time. |
| Knowledge and AI in one environment | Integration with the Production Portal reduces the need to switch between systems and allows users to work with the assistant directly in their existing environment. |
What does the implementation of explitia.Whisp look like?
Organising and selecting documentation for the knowledge base
Adding documents and preparing them for search
Configuring scenarios and the AI model
Testing answers to user questions
Making the assistant available in the Production Portal environment
The quality of Whisp’s answers is directly related to the quality and up-to-dateness of the knowledge made available to the system, which is why proper preparation of company documentation is an important part of the implementation process.
Start using AI to make production knowledge easier to access
Schedule a consultation and see how the explitia.Whisp AI assistant can help organise access to documentation, reduce the time required to search for information and make production knowledge available directly in the Production Portal.