UC-694
Turn Near-Miss Reports into early warnings to prevent serious incidents
Reads near-miss narratives across assets, detects recurring precursors and alerts the accountable team before the pattern becomes an incident.
TBDBuild Duration
XXXXIndicative ROI
XXXXBuild Cost
XXXXValue
The Challenge
Near misses are recorded in free text and reviewed locally, which makes weak signals across assets hard to recognise before a more serious event occurs.
How It Works
- Ingests near-miss reports, incident records, observations, work context and corrective actions.
- Normalises the narratives into hazards, tasks, equipment, conditions and precursor patterns with links to the original report.
- Issues a ranked leading-indicator view with the affected assets, evidence, confidence and accountable action owner.
What It Removes
- Near-miss learning trapped within one asset
- Manual coding that hides recurring precursors
- Corrective action that starts after an incident
Input Data RequirementsNear-miss reports, incident records, safety observations, task and equipment context, corrective-action logs
Output FormatLeading-indicator dashboard with recurring precursors, affected assets, confidence and actions
“Which weak signals are repeating across our assets before somebody gets hurt?”