
In this training on Job Safety Analysis, we will take a deep dive into the tasks that a person in a particular job performs in the course of their duties. Some key focus points int his session:
- AI-Assisted Task Analysis: Velo AI interprets task steps entered in the JSA and automatically identifies key risk elements, prompting users with overlooked steps, clarifying ambiguous entries, and strengthening the overall accuracy of the task breakdown.
- AI-Assisted Hazard Identification: Demonstrate how Velo AI analyzes task descriptions and automatically suggests potential hazards, ensuring more consistent and comprehensive identification during JSA creation.
- AI-Generated Control Recommendations: Highlight how the system proposes relevant controls based on recognized hazards, helping users close gaps in risk mitigation and strengthening overall control effectiveness.
- Enhanced Reporting & Insights: Show how AI outputs feed into Operational Risk and JSA reports—surfacing trends, common hazards, weak controls, and improvement opportunities across sites or job types.
- Workflow Efficiency & User Experience: Emphasize reduced time to completion, improved guidance for non-experts, and better data quality, enabling organizations to make more informed decisions with less manual effort.