SAFETY DATA SOLUTIONS:
Safety Assistant
Improve safety capture to drive informed insights
Libero AI’s Safety Assistant provides a smarter way to capture safety observations, hazard reports, and incident details - right at the point of entry.
Using a simple interface integrated with your existing Environment, Safety, and Health (ESH) software, it provides built-in tips, AI-driven checklists, real-time feedback, and a re-write feature to help users confidently provide clear and concise information.
It automatically detects hazards, identifies behaviours, and categorises observation or incident types at the point of capture - instantly ready for meaningful analysis.
No more training sessions on how to write “perfect” reports or tedious data cleansing afterward. You can trust the reports to make sense, drive organisational change, and help maintain a safer workplace.
Key benefits:
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Data completeness and consistency
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Data-drive, preventive safety culture
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Actionable insights for efficiency
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Scalable, integrated solution
THE POWER OF SAFETY ASSISTANT
The foundational technology of Safety Assistant is IBM's watsonx. This enterprise-grade technology provides the integrated ecosystem for developing, training and deploying AI-driven solutions and enables the following features:
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Seamless integration with ESH systems
Provides an intuitive interface that guides users through each step of data entry.
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Automated data collection
Classifies reports in real-time significantly boosting accuracy and consistency across all incident, hazard and observation reporting.
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Real-time Language Processing
Monitors user input for clarity and prompts for additional details for corrections to ensure high-quality, actionable safety information.
Guided data entry
Offers targeted suggestions to help users capture all relevant risk details while reducing the burden of manual input.
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Contextual hazard detection
AI-driven analysis is used to identify subtle safety concerns - such as changing operational conditions or emerging risk and behaviours.
Scalable, enterprise-ready platform
Smooth deployment and expansion to new sites or use cases, ensuring robust AI-driven support.
SAFETY DATA QUALITY IN NUMBERS
The quality of safety reports for a typical mining client shows:
38%
of Safety Reports
are considered poor quality
84%
of poor quality reports had no identifiable hazard
26%
of Observation Reports were categorised incorrectly
