Problem There is large volume of data on HSE and industrial safety incidents. Reports, investigation documents, risk assessments, and other records are stored across various platforms (portals, repositories, local files). It’s challenging for HSE specialists or any other responsible parties to quickly find relevant information, identify patterns in recurring incidents, and generate reports for management or regulatory bodies. Manual analysis of these documents is time-consuming and may result in missing critical safety details.
AI assistant can: • Process free-form queries, e.g., “List common causes of fall-related injuries” or “Show all incidents involving chemical leaks in the past year.” • Quickly retrieve and summarize data from different sources, categorizing incidents by type, cause, corrective actions, and investigation outcomes. • Identify recurring issues (e.g., similar causes across different sites) and detect conflicting information in reports and risk assessments. • Generate clear reports with statistics, diagrams, recommendations, and references to regulatory or internal documents. • Provide safety improvement suggestions based on identified trends and best practices (e.g., updating procedures, enhancing control measures in specific areas).
Expected result • Significant reduction in incident data analysis time: ready-to-use overviews and analytics generated in minutes instead of hours of manual work. • Quick detection of recurring problems: the chatbot identifies trends in seconds, enabling timely implementation of corrective and preventive actions. • Improved safety performance: continuous monitoring and centralized data analysis help HSE teams and management respond swiftly to emerging risks. • Enhanced operational efficiency: less manual effort spent on data processing, freeing up time for decision-making and proactive risk management.