What is an LLM and why is it used in HSE?
An LLM (Large Language Model) is an artificial intelligence trained on massive volumes of textual data to understand, generate, and reformulate natural language. Clearly, an LLM is able to read, summarize, interpret and produce text with almost the fluidity of a human.
LLM: concretely, how does it work?
These models have been trained on billions of words : books, reports, articles, professional documents,... They identify patterns and patterns, understand the nuances of human language, identify logical relationships, and can provide information in a relevant way.
In other words, they are genuine smart assistants, capable of summarizing complex documents, generating coherent reports, answering business technical questions in simple language, translating content or even writing a professional email.
Applied to QHSE, this means that AI can become a real assistant, at the service of managers, QHSE managers and general managers:
- Automate the writing QHSE reports and synthesize them;
- FacilitateSSE event analysis (health, safety, environment);
- Determine the direct causes and immediate to the event;
- Produce contextualized action plans from a simple incident declaration to prevent the recurrence of the event.
👉 To better understand the foundations of AI applied to QHSE, we invite you to read our article: Artificial intelligence in QHSE: myth or revolution in progress?
LLM QHSE: a strategic shift for businesses
The integration of artificial intelligence into QHSE tools makes it possible to go even further than automation. It's a transformation in the role and importance of data. This makes it possible to gain in:
- Responsiveness : less typing, more analysis
- Reliability : fewer manual errors, more accuracy
- Performance : better targeted actions, better anticipated risks
Concrete use cases in your QHSE & ESG tools
Chez Symalean, LLMs are at the heart of innovation. We integrated this technology into Sym Ai, our smart assistant embedded in our Dyo and Regensy tools.
In Dyo: automatic analysis of SSE events
Faced with an HSE (Health, Safety, Environment) incident or event, our AI supports our customers at each stage:
- Automated summary of the event, to get to the point
- Analysis of the causes with identification of contributing factors
- Determining the direct causes, to target the right levers of action
- Generation of QHSE action plans, adapted to the context of the company
Result?
Our customers and their teams spend less time writing and more time act effectively. They can now focus on tasks with higher added value: such as the implementation of prevention strategies, for example.
In Regensy: improving ESG governance
In a growing regulatory context in terms of sustainability, LLMs applied to CSR can allow you to:
- Facilitate the writing of sustainability reports,
- Standardize multi-entity analyses,
- Make information auditable and understandable.
These uses show that theGenerative AI applied to QHSE/ESG is not a gimmick, but a structuring, compliance and strategy accelerator.
👉 To deepen the differences between AIs, and better understand how they are used in our tools, we invite you to read our blog article: Weak, strong, symbolic AI: what are the differences? What are the uses for QHSE and ESG management?
A powerful AI, but above all ethical
At Symalean, we have chosen a Ethical, transparent and responsible AI. That is the whole meaning of our AI ethical charter that guides the development of our tools, and guarantees respect for fundamental principles, such as:
- Human and machine complementarity,
- Data protection and anonymization of texts and images,
- Digital sobriety.
This charter is not a poster or just another marketing document: it is a concrete commitment to guarantee our customers a Trusted AI, at the service of their mission and their challenges.
Do you want to find out more about Sym Ai? Book your 30-minute slot with our team.
