Risk Assessment and Review Assistant

Problem
Preparing structured reviews (HAZOP, Environmental Impact Assessments, pre-startup reviews) and risk assessments is time-consuming, often taking weeks or months due to manual data collection from scattered sources. Important aspects may be missed, leading to costly project revisions or safety incidents.

AI assistant can:
• Analyze internal or external standards, regulations, and past project reports for insights.
• Reduce subjectivity in risk assessments by suggesting objective metrics based on incident statistics (e.g., “12% of pump failures led to 7+ day downtimes”).
• Verify assumptions against industry norms (e.g., “Failure rate listed as 0.1%, but NORSOK standards for Arctic conditions suggest 0.3%”).
• Generate structured reports highlighting critical risks (e.g., “Top 3 compressor station risks: weld corrosion (18% likelihood), PLC misconfiguration (12%), pressure inconsistencies (9%)”).
• Create adaptive checklists for auditors tailored to project specifics.

Expected result
• Significant reduction in review preparation time: automation handles 50–90% of routine tasks.
• More comprehensive risk identification: cross-discipline data analysis improves risk detection.
• Reduced project delays: fewer unforeseen issues (~10–20 days saved annually per company).