Modern HSE involves a huge amount of routine work: document management, reporting, preparation of training materials, and operational support for employees. According to statistics, specialists spend up to 80% of their time on repetitive tasks. The implementation of artificial intelligence-based tools is becoming a natural stage in the development of the industry, allowing these processes to be automated and freeing up time for real risk management and the development of a safety culture.
In his presentation, Rinat Fatkhutdinov, Director of iTechnoPro, analyzes practical ways to use neural networks to solve the everyday tasks of an HSE specialist. The speaker demonstrates by example how, using accessible tools, you can significantly reduce the time spent preparing materials without having any programming skills.
One of the most time-consuming processes is the preparation of HSE briefing texts. Traditionally, creating high-quality material for a single profession can take an entire working day. The speaker proposes automating this process by creating a custom Telegram bot.
The presentation details the process of setting up such a bot, which is capable of generating the structure and text of a briefing for a specific profession in just a few minutes, based on specified parameters and uploaded documents.
The briefing text is only half the battle. Visualization is necessary for effective training. Creating presentations in classic editors requires time and design skills. Rinat Fatkhutdinov demonstrates how to convert generated text into a ready-made presentation using specialized AI services.
This approach reduces the time spent preparing visual materials from several hours to a few minutes.
Despite its high efficiency, artificial intelligence is not a panacea. During the discussion, webinar participants rightly noted possible errors in image generation (e.g., unnatural details in pictures) and the risks of receiving inaccurate information.
The speaker emphasizes that AI is merely a tool, and the final decision always rests with the specialist. Neural networks can suggest options, analyze data, and speed up routine tasks, but a human is responsible for the correctness of the materials and workplace safety. Therefore, it is critically important to verify the generated content and adapt it to the actual conditions of the enterprise.