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SOLUTIONS

Reporting

Turn 100,000's hours of footage into clear, risk-driven reporting. Compare multiple sites with one consistent view, set targets from shift leaders to the board, and get to “where’s our risk trending?” in minutes.

Coca-Cola
Woolworths
Americold
Linfox
Twinings of London
Suntory Frucor
Mondiale Logistics
The Warehouse Group
NZ Post
Godfrey Hirst
Whittakers Chocolate
Freightways
Posthaste
Halls
MADE
Fletcher Placemakers
NXP
NZ Couriers
The Collective Yogurt
Briscoes
Vulcan
Foodstuffs
Hilton Haulage
Big Chill

Why choose inviol

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Built-in dashboards and BI integrations.
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Board-ready in minutes. Compress real data into a quick, confident read.
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Consistent multi-site reporting that highlights where to focus.
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Report on risk, not noise. Prioritise what could hurt people, not every safety breach is the same.

From lag to lead indicators

Most safety reporting is built on lag indicators: incident counts, lost time injury rates, workers’ compensation claims. These metrics are important, but they only tell you what already went wrong. By the time a lag indicator moves, someone has already been hurt, equipment has already been damaged, or an investigation is already underway.

inviol’s reporting is built on lead indicators: near-misses detected, unsafe behaviours observed, exclusion zone breaches logged, coaching completed. These are the early signals that tell you where risk is building before it turns into an incident. When you can see that near-miss events in a particular zone have increased 30% this month, you have the information to act now rather than waiting for the incident report.

This shift from lag to lead is one of the most significant changes computer vision AI brings to safety management. Traditional EHS systems are excellent at recording what happened. inviol helps you see what’s about to happen.

Book a demo
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What inviol reporting gives you

inviol’s reporting is designed to be useful at every level of the organization, from shift supervisors managing day-to-day risk through to board members who need a clear, confident read on safety performance across the business.

Board-ready reporting

Compress real operational data into a clear, concise read that leadership and board members can act on. No manual slide-building required.

Automated email reports

Get scheduled reports delivered to your inbox so you don’t need to log in to stay across your safety picture. Configured to show the data that matters for each recipient.

Trend reporting

Track risk trends over time by site, shift, policy type or detection category. See whether coaching interventions are working, whether seasonal patterns are emerging, and where the trajectory is heading.

Heatmaps

Visual overlays that show where risk concentrates on your site. Heatmaps reveal patterns that raw data tables can’t, like a particular intersection that generates a disproportionate number of near-misses, or a loading zone where events spike during shift changeover.

Multi-site comparison

Compare safety performance across multiple locations with one consistent view. Identify which sites are improving, which need attention, and where to focus resources.

Risk-driven dashboards

See events total, events coached, and overall risk rating across any combination of sites, policies, shifts or timeframes. Dashboards are customisable and update in real time.

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Reporting that drives action, not just dashboards

Good reporting answers two questions: “Where is our risk?” and “What should we do about it?”

inviol’s reporting is designed to drive action, not just display data. When a dashboard shows that a particular zone has a rising risk trend, the next step is already built into the platform: review events, assign coaching, track follow-up. When a heatmap reveals that a loading zone generates most of its near-misses during the afternoon shift, that’s a conversation starter for the team, not just a chart on a screen.

This is where inviol’s reporting connects back to the coaching workflow. The data identifies the patters. The coaching platform turns those patterns into conversations and behaviour change. And the reporting tracks whether those interventions are actually working over time. It’s a closed loop: detect, coach, measure, repeat.

For organisations running multiple sites, this loop is especially powerful. You can identify what’s working at your best-performing site and replicate it across the network, using data rather than anecdotes to drive consistency.

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What inviol can detect in your warehouse

Every warehouse has its own layout, policies and pressure points. inviol's computer vision AI adapts to your environment and detects the specific risks that matter most on your site. Common detection scenarios include:

Pedestrian-forklift proximity

The most dangerous moments in any warehouse happen when people and machines share space. inviol monitors pedestrian-forklift interactions in real time, flagging near-misses and close calls before they escalate. This is the single biggest source of serious warehouse injuries (and one that traditional reporting almost always misses).

Exclusion zone breaches

Whether it's a charging bay, a high-traffic loading lane or an area with overhead crane activity, inviol detects when someone enters a zone they shouldn't be in and logs the event with video evidence for follow-up coaching.

PPE compliance

Hard hats, high-vis vests, safety footwear. inviol detects missing PPE in defined areas and captures the moment on video (with blurred faces), so coaching conversations are grounded in real situations, rather than assumptions. 

Loading and unloading zone activity

Dock areas are consistently high-risk zones due to the mix of reversing vehicles, pedestrians, uneven surfaces and time pressure. inviol monitors these areas continuously and flags unsafe interactions that supervisors would otherwise never see.

Speeding and unsafe vehicle behaviour

A forklift travelling too fast through a blind corner or intersection is one of those risks everyone knows about but nobody sees consistently. inviol tracks vehicle speed across defined zones, giving you data on where and when speeding actually happens (not just where you think it happens).

Manual handling and ergonomic risk

Repeated unsafe lifting practices contribute to musculoskeletal injuries, which remain one of the most common and costly warehouse injury types. inviol can flag manual handling events for review, helping identify patterns before they become chronic issues.

Explore our AI-powered safety detection scenarios

No Mobile

Dock loading

Dock loading safety detectors, including people machine and drive off risk.

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We take security seriously

Visit our trust center for more detailed information and our certifications

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We’re proud to be SOC2, GDPR and ISO 27001 certified, demonstrating our commitment to the highest standards of data security, privacy, and integrity.

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Security built in

We've engineered every component with advanced safeguards and continuous monitoring, ensuring your data remains protected.

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Identity protection

Being GDPR compliant, our platform offers optional facial blurring, giving you greater control over personal data and visual anonymity.

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We take security seriously

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SOC 2 Type II Certified

We’re proud to be SOC 2 compliant, demonstrating our commitment to the highest standards of data security, privacy, and operational integrity.

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Security built in 

We've engineered every component with advanced safeguards and continuous monitoring, ensuring your data remains protected.

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Identity protection

Being GDPR compliant, our platform offers optional facial blurring, giving you greater control over personal data and visual anonymity.

Unified reporting at your fingertips

Customisable, automated real-time risk reporting across any policy, site(s) or timeframe built for site leaders and the board.

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Coach your team with AI-powered safety training

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At your next safety huddle, focus conversations on keeping fall zones clear around both sides of the truck. 

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Introducing invi

Your health and safety side-kick. invi is your very own AI agent who learns about your sites, trucks, risk profile and intelligently manages your safety events in real-time. Making sure you see the right stuff!

High risk
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Low risk
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Wooooah! This is a High Risk event! Drivers should be in the safe zone.

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The driver is a safe distance from the forklift but can still see how it's getting loaded - nice! 

How it works

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AI device & camera installed on a truck or in a warehouse
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Custom H&S policies configured
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Camera monitored 24/7 in real time
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AI identifies policy breaches
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Notifications sent to appropriate people
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Coach and train the team in our platform
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Track and analyse all the data with our detailed reporting
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ai-device.png
AI device & camera installed on a truck or in a warehouse
custom.png
Custom H&S policies configured
camera.png
Camera monitored 24/7 in real time
identification.png
AI identifies policy breaches
notification.png
Notifications sent to appropriate people
coach.png
Coach and train the team in our platform
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Track and analyse all the data with our detailed reporting

How it works

What customers say
about inviol

“The kicker, it reduced our Health & Safety risk by 60% in just two months!”

Graham Nelson — Head of Continuous Improvement
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“inviol has changed the H&S conversation. I don't know how I'd do my job without it”

Sajal Saha — Health, Safety & Environment Advisor
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“80% reduction of risk that involves vehicles & plant machinery on site.”

Tracey Crookston — Branch Manager, New Lynn
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“It's a system that

helps us understand

what good looks like”

Rex Middelbeek — GM Safety & Wellbeing
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Related reading

7 February 2026 at 9:00:00 am

5 myths about AI safety cameras in the workplace

5 December 2025 at 9:00:00 am

Benchmarking safety performance across multiple sites

13 November 2025 at 9:00:00 am

From data to action: closing the loop between detection and improvement

21 October 2025 at 9:00:00 am

Safety heatmaps: visualising risk across your facility

29 September 2025 at 9:00:00 am

Shift-by-shift safety comparison: what the data reveals

6 September 2025 at 9:00:00 am

Near-miss reporting: why your current system probably underreports by 90%

View More

Frequently asked questions

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