In Development

Safety Manager

Incident reporting, hazard tracking, safety observations, and compliance management in one unified platform.

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The Problem

Why Safety Manager?

Safety incidents are under-reported because reporting is cumbersome. Paper forms, complex systems, and fear of blame create barriers. Without easy reporting and data-driven insights, organisations react to incidents instead of preventing them.

Key Features

What Safety Manager Delivers

Incident Reporting

Simple, mobile-first incident reporting. Capture details, photos, and witness statements in minutes.

Hazard Tracking

Identify, assess, and control hazards systematically. Risk matrices and control hierarchies built in.

Safety Observations

Encourage proactive safety culture with behavioural safety observations. Track positive and at-risk behaviours.

Compliance Dashboard

Track regulatory compliance, training requirements, and audit findings in one place.

See It In Action

Safety Manager Demo

Preview the Safety Manager experience. Full interactive demos will be available when the service launches.

safety-manager.oplytics.digital
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Safety ManagerLive Demo

Safety Dashboard — Middleton Plant

Real-time safety performance and incident tracking

Days Since LTI9
Near Misses (MTD)0
Observations (MTD)5
Open Actions0
Recent Incidents
2/19Near MissForklift near-miss at loading bayClosed
2/14First AidMinor cut — packaging areaClosed
2/10Near MissSpill near curing oven exitClosed
2/03Near MissLoose guard on conveyor beltClosed
1/28LTISlip injury — wet floorClosed
Incidents per Month (12-month)
2
J
1
F
3
M
0
A
2
M
1
J
3
J
1
A
2
S
0
O
1
N
3
D

Incident Report — Quick Capture

Mobile-first reporting in under 2 minutes

Incident Type—
Date & Time—
Location—
Description—
Immediate Action Taken—
Witnesses—
Severity Assessment—
Submit Report
Save Draft

Risk Matrix — Hazard Assessment

5×5 risk matrix with inherent and residual risk plotting

Risk Matrix
Rare
Unlikely
Possible
Likely
Almost Certain
Catastrophic
Major
Moderate
Minor
Negligible
Inherent
Residual
Top Hazards
Forklift collision
Inherent:12
→
Residual:8
-33%
Chemical spill
Inherent:6
→
Residual:3
-50%
Slip/trip/fall
Inherent:8
→
Residual:4
-50%
Noise exposure
Inherent:10
→
Residual:6
-40%
Manual handling
Inherent:12
→
Residual:6
-50%

Safety Observations — Behavioural Safety

Positive: 4At-Risk: 3Ratio: 1.3:1
DateObserverAreaTypeCategoryDescription
3/03Mike J.AssemblySafePPECorrect PPE worn in designated area
3/03Lisa P.Foam PressAt-RiskGuardingOperator bypassed guard interlock
3/02David K.WarehouseSafeHousekeepingGood housekeeping in aisle 4
3/02James W.QuiltingSafeErgonomicsCorrect lifting technique observed
3/01Paul C.PackingAt-RiskFire SafetyFire exit partially blocked by pallets
3/01Lisa P.Chemical StoreSafeCOSHHCOSHH sheets up to date and visible
2/28Mike J.CNC AreaAt-RiskPPENo hearing protection worn
Dashboard
20s remaining
How It Works

Getting Started with Safety Manager

1

Report Incidents Easily

Mobile-first incident reporting. Capture details, photos, and witness statements in minutes from any device.

2

Track Hazards

Identify, assess, and control hazards systematically. Risk matrices and control hierarchies built in.

3

Encourage Observations

Behavioural safety observation programme. Track positive and at-risk behaviours to build a proactive culture.

4

Analyse and Prevent

AI-powered risk prediction identifies high-risk areas. Compliance dashboards ensure regulatory requirements are met.

Expected Outcomes

What You Can Expect

All metrics are clearly labelled by evidence tier. We only publish claims we can substantiate.

Increased

Incident and near-miss reporting through simplified capture

Proactive

Safety culture driven by observations and leading indicators

Improved

Regulatory compliance through centralised tracking

Data-driven

Risk identification replacing reactive incident management

Built-In AI

Intelligence at Every Layer

AI is not an add-on. It is woven into the core of every service, working behind the scenes to surface insights and automate decisions.

AI Risk Prediction

Predictive models analyse incident history, near-miss data, and environmental factors to forecast high-risk areas and times.

Smart Observation Analysis

Natural language processing categorises safety observations and extracts actionable insights from free-text reports.

Works Great With

Related Solutions

Ready to see it in action?

Get in touch with our team. Tell us about your operation and we will show you how Safety Manager can help.

Personalised demo with your data
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Response within 24 hours