Today
Reports are stored but rarely read across the corpus
- Reports are filed under predefined hazard codes.
- Free text stays difficult to analyze at scale.
- Crews rarely see what their reports changed.
The reports go in.The learning has to come back.
Mining operations collect near-miss and incident reports, but free-text records quickly become too numerous to review by hand. INSUS analyzes the reporting corpus to surface recurring hazard conditions and return relevant past events to the people facing similar situations. Safety professionals keep interpretation and action.
01
Grouped by what the report describes, not only the code picked.
02
Patterns in reported conditions, not accident prediction.
03
Conditions and tasks, never individual worker monitoring.
The problem
The precursors are reported.Then what?
Near-miss reporting only creates value when the information is reviewed, connected and returned to the operation. As volumes grow, free-text records become hard to analyze across locations, tasks, equipment and shifts. Precursor patterns can stay buried until a serious event forces a retrospective review.
01Free-text reports accumulate
02Recurring conditions stay hidden
03Learning never reaches the crew
- 01Free-text reports accumulate
- 02Recurring conditions stay hidden
- 03Learning never reaches the crew
The shift
From a reporting archiveto a learning loop.
The goal is not to collect more reports. It is to turn the reports already being submitted into visible patterns, relevant prior events and learning that can be measured.
With INSUS
Reports become a continuous source of learning
- Reports are grouped by the conditions actually described.
- Recurring and rising patterns become visible for review.
- Relevant past near-misses are retrievable for similar work.
How it works
From free textto recurring hazard patterns.
Delivered through ExpertFlow AI as document intelligence over the safety reports your operation already generates. It surfaces patterns for review. It does not predict accidents or monitor individual workers.
Connect
Bring the reporting corpus together
Connect near-miss and hazard reports, incident investigations, corrective-action records, task and location context, equipment identifiers where they exist, and relevant safety procedures.
Understand
Analyze what the reports actually describe
Group report text by the conditions described, not only by the category the reporter selected. Location, task, equipment and shift add operational meaning.
Detect
Surface recurring and rising conditions
Surface recurring and rising clusters for the safety team to review. This identifies patterns in reported conditions. It does not predict when an individual incident will occur.
Advise
Give relevant experience back to the crew
When similar conditions come up, retrieve previous near-misses and incident records for supervisors and crews, and connect corrective actions to the hazard patterns they were meant to address.
Verify
Measure whether the pattern changed
Track whether clusters decline after corrective action and whether reporting stays sustained, so an action marked complete can be checked against whether the condition actually changed.
Getting started
Start with the reportsyou already collect.
For mining operations that already hold near-miss, hazard and incident records in EHS workflows. Delivered through ExpertFlow AI as document intelligence over the reporting corpus. Expert Services can help with discovery and validation. Safety professionals remain responsible for interpretation and action. No new sensors. No individual worker monitoring.
- What we need. Ideally two years or more of near-miss and hazard reports with free text, incident investigations, corrective-action history, and available task, location, equipment and shift context. Read-only integration with your EHS platform.
- What you see first. A retrospective analysis of one operation's existing corpus. The safety team reviews the resulting clusters, and historical review shows whether meaningful precursor conditions were visible in the record.
- How it grows. Once clusters are validated, reports can be analyzed as they arrive and past events retrieved on demand. Success is measured by sustained reporting and by whether actioned clusters stop recurring.
Related for mining
Other miningstarting points
Near-miss learning sits beside permitting compliance and tailings monitoring on the same mine site.
- 01EU Mining Permitting & ComplianceTurn permits, conditions and correspondence into a searchable obligation layer with answers traceable to source.
- 02Tailings Geotechnical Signal IntegrationTime-align piezometer, radar, survey and InSAR streams into one reviewable record with joint anomaly flags.
- 03Mining industryThe wider picture for mine sites: tailings monitoring, permitting and compliance, and incident learning.
Questions mining safety teams ask us
Large volumes of free-text near-miss and incident reports are hard to review across tasks, locations and equipment. This use case groups reports by the conditions they describe and returns relevant past events for learning.
No. It identifies recurring and rising patterns in reported conditions. It does not predict individual incidents or claim to determine when an accident will occur.
No. Analysis is built around conditions and patterns in reports, not individual worker monitoring, scoring or behavioural assessment.
Ideally at least two years of near-miss and incident reports with free text, investigation records, corrective-action history and available task, location and equipment context. No new sensors.
No. Safety professionals validate patterns, interpret their operational significance and decide what action is appropriate. The system provides analytical support, not automated safety decisions.
Through ExpertFlow AI as document intelligence over the safety reporting corpus. Expert Services can support discovery, integration and validation with your safety team.
It can only analyze conditions that are reported. It cannot create a reporting culture or generate missing data. Text quality also varies across languages and reporting styles.
Safety and incident learning
Your crews already told you what happened.
Start with the near-miss and incident reports your operation has already collected. If the recurring patterns are meaningful to your safety team, they become the foundation for a stronger learning loop.