AI + Automation in HSE

Artificial Intelligence as an Exoskeleton for the Specialist's Brain

The profession of an HSE specialist is often associated with high levels of stress and burnout. As Rinat Fatkhutdinov notes, up to 80% of working time can be spent on routine tasks, meetings, and maintaining regulations, leaving minimal resources for actual safety management. The implementation of digital products without an intellectual component often only increases bureaucracy, requiring constant manual data entry. In this context, artificial intelligence (AI) becomes not just a fashionable trend, but a necessary tool — an "exoskeleton for the brain" that takes over routine information processing and allows the specialist to focus on analysis and managerial decision-making.

Practical Cases of Process Automation

During the presentation, the speaker examined in detail several scenarios for applying AI, implemented in practice by participants of a specialized training.

Automating the Collection and Analysis of Near Misses

• Data collection via messengers: Using AI assistants in Telegram allows workers to record hazardous situations in 10 seconds (photo + voice message), which radically lowers the barrier for personnel involvement.
• Root cause analysis: The AI agent automatically processes the incoming data, applying the "Five Whys" method to identify the true causes of the incident and suggesting preventive measures without the risk of "hallucinations" (inventing facts).
• Robotic Process Automation (RPA): A software robot takes the analyzed data and automatically generates reports for management, eliminating the HSE specialist from the chain of manual document forwarding.

Smart Search in the Regulatory Database (Hybrid RAG)

Traditional keyword search in voluminous documents is often inefficient. The speaker shows, using the example of a hybrid RAG (Retrieval-Augmented Generation) system, how AI can find exact answers to questions formulated in natural language, relying exclusively on the uploaded corporate knowledge base and regulations. The accuracy of such systems reaches 99.9%, which allows for quick navigation of legal requirements and internal instructions.

Assistance in Incident Investigation

AI can act as an independent methodologist in incident investigations. With proper prompting, a specialist can instruct the neural network to build a root cause tree, analyze alternative scenarios of events, and even prepare talking points for conducting a "safety minute" with the team following the investigation.

Gamification and Engagement in Training

Standard briefings are often perceived formally. Using AI to generate video, animation, and interactive quests allows for the creation of engaging content that is better remembered by workers. The presentation demonstrated an example of a short video created using AI, which conveys the importance of using PPE in an unconventional and humorous way.

What you will learn from this webinar:

• How to transition from reactive firefighting to proactive safety management using data?
• What AI tools allow automating the collection and analysis of Near Miss information?
• How to set up a smart search in the corporate regulatory database to get accurate answers without neural network "hallucinations"?
• How to use AI to build a root cause tree during incident investigations?
• How to use neural networks to create engaging and interesting materials for briefings and personnel training?