See loss patterns and emerging risk, before they cost you.
Logincident turns your reports into intelligence, so you spot loss patterns early, quantify cost impact and act on emerging risk with confidence.
The full picture of risk.
Loss patterns
Recurring causes and clusters across every report you capture.
Emerging risk
Early signals and rising trends spotted before they turn into losses.
Cost impact
The price of loss quantified, so you can prioritise by what hurts most.
Hotspots
The sites, assets and activities driving your risk, ranked and visualised.
Turn reports into foresight
Every report feeds the analysis, so loss patterns and emerging risk are surfaced early, quantified by cost and put in front of the people who can act.
- Loss patterns and clusters across all your reports
- Emerging risk flagged early, before it becomes a loss
- Cost impact quantified to drive prioritisation
- Trends and hotspots surfaced by your dashboards and Logincident AI
A cluster of related losses flagged across three sites, with estimated cost impact. Draft insight, awaiting review.
Patterns and hotspots at a glance.
Reports by week
Example reporting volume across three categories
- Near miss 24
- Hazard 16
- Inspection finding 12
Show the data behind this chart
| Week beginning | Near miss | Hazard | Inspection finding | Total |
|---|---|---|---|---|
| 3 Aug | 3 | 2 | 1 | 6 |
| 10 Aug | 4 | 3 | 2 | 9 |
| 17 Aug | 3 | 2 | 2 | 7 |
| 24 Aug | 6 | 3 | 3 | 12 |
| 31 Aug | 4 | 3 | 3 | 10 |
| 7 Sep | 4 | 3 | 1 | 8 |
| Total | 24 | 16 | 12 | 52 |
Reports by site
Example concentrations across three sites
- Site A22 example reports
- Site B18 example reports
- Site C12 example reports
Three steps to sharper foresight.
Capture
Every report flows in from mobile or QR code, building one clean dataset.
Analyse
Your dashboards reveal loss patterns and cost, with Logincident AI sharpening the signal.
Act & prevent
Priorities are put in front of you, so you cut risk before it costs.
Part of one connected system.
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What does risk intelligence mean in practice?
Reading many reports together to see what no single report can show. One event tells you something happened. Several hundred, grouped by place, time, cause or type, can show where harm is becoming more likely while there is still time to do something about it.
Do we need Logincident AI for this?
No. Most of it is dashboards over data you already have: grouping, comparison and trend over time. Logincident AI goes further by connecting related events across records, but the ordinary version of this question is answered without it.
How do we compare sites fairly when they are different sizes?
By comparing rates rather than counts. A busy site will always produce more reports than a quiet one, so raw numbers reward under-reporting and punish honesty. Normalising by hours worked, headcount or throughput is what makes the comparison mean anything.
Make every report count.
Tell us what your team reports and we will show you how it works in Logincident.
Contact us