AI

Our founder and CEO Tane van der Boon recently joined Dave on the Keep On Moving podcast (part of the NZ Trucking Media family) for what turned out to be a pretty wide-ranging conversation. They started with how inviol works and ended up deep in the philosophical weeds of AI, automation, and what the future of work actually looks like. If you work in logistics, warehousing, or transport (or anywhere people and machines share space, really), it's worth a listen. Dave asks the

About The Warehouse Group The Warehouse Group is one of New Zealand's largest and most iconic retailers. Founded by Sir Stephen Tindall in 1982, it operates three beloved Kiwi brands: The Warehouse, Warehouse Stationery, and Noel Leeming. The Group serves customers nationwide across hundreds of stores, supported by a large and complex distribution network. Its North Island Distribution Centre is one of the biggest DCs in New Zealand, handling everything from general merchand

If you work in logistics, you already know the score. Forklifts moving at pace, trucks reversing into loading bays, pedestrians crossing zones they shouldn't, fatigue creeping in on a long shift. The risk is everywhere, and it's constant. Health and safety in logistics isn't just a compliance box to tick, it's genuinely hard work. And despite the best intentions, traditional approaches often fall short when the environment is this fast-moving. That's starting to change, thank

Workplace safety is in the middle of its biggest technological shift in decades. Not a gradual evolution. A genuine step change in how organisations detect risk, coach their teams, and prove compliance. If you're an EHS leader, you're already feeling this. The tools are changing. The expectations are changing. And the organisations that move early are pulling ahead in ways that will be difficult to catch up to. Here are five AI-driven trends that are reshaping workplace safet

If you've ever done a safety walk, you know the routine. Grab the clipboard (or the tablet, if you've gone digital). Walk the floor. Check the usual spots. Note what you see. File the report. Repeat next week. Safety walks are one of the most established practices in workplace health and safety. They're recommended by OSHA , required under New Zealand's Health and Safety at Work Act (HSWA) as part of proactive risk management, and endorsed by Safe Work Australia as a core e

When we talk to safety leaders about computer vision AI, the conversations are almost always positive. They understand the technology, they see the value, and they're keen to explore it. But when it comes to rolling the technology out to the wider workforce, a different set of conversations begins. Workers have questions. Concerns. And sometimes, deeply held beliefs about what AI cameras do that simply aren't accurate. These misconceptions aren't unreasonable. Headlines about

There's a lot of content out there about what computer vision AI can do for workplace safety. Less gets written about what it actually feels like to use it. What does a Monday morning look like when your site is running real-time AI monitoring? What happens when an alert fires at 2am? How does the data flow from camera to dashboard to coaching conversation? If you're considering computer vision AI for your operation and want to understand how it fits into daily workflows (n

One of the most common questions we hear from EHS professionals evaluating computer vision AI is: "How does this fit with the systems we already use?" It's a smart question. Most organisations have already invested in an EHS platform — tools like ecoPortal, SafetyCulture (iAuditor), Cority, VelocityEHS, Intelex, or Benchmark Gensuite — to manage their incident reports, audits, training records, and compliance workflows. The last thing anyone wants is another disconnected tool

In traditional safety management, the word "incident" usually means something bad happened — someone got injured, equipment was damaged, or work had to stop. But the most important events for preventing future injuries are the ones where nothing bad happened yet . The near misses. The close calls. The risky interactions that nobody noticed or nobody reported. In the world of computer vision AI, these moments have a name: safety events . Understanding what a safety event is —

If you mention AI cameras in a room full of warehouse workers, the first question won't be about detection accuracy or dashboard features. It'll be: "Is this going to be used to watch us?" It's a fair question. And how you answer it will determine whether your computer vision AI deployment succeeds or fails — not technically, but culturally. Because even the most sophisticated safety platform won't deliver results if the people it's designed to protect don't trust it. Privacy

Let's talk about money. Not because safety is fundamentally a financial issue — it isn't. It's a human one. But if you're the person building a business case for computer vision AI, you need to know the numbers. And the numbers are compelling. The conversation about safety ROI has traditionally been framed around cost avoidance: how much did we save by not having an injury? That's a valid lens, but it's incomplete. Computer vision AI delivers return across multiple categories

See how Epicurean Dairy used inviol on existing CCTV to reduce risk 48%.

If you've spent any time in EHS, you've heard the terms "leading indicators" and "lagging indicators" more times than you can count. They come up in every safety conference, every board report, and every conversation about how to measure whether your safety programme is actually working. But here's the thing: most organisations still rely almost entirely on lagging indicators — even though everyone agrees that leading indicators are more valuable. And the reason isn't a lack

Here's something most people in the computer vision AI space don't talk about enough: detection is the easy part. The hard part — the part that actually reduces injuries and saves lives — is what happens after the AI flags a safety event. Does it sit in a dashboard nobody opens? Does it trigger an alert that gets dismissed? Or does it become a meaningful conversation between a supervisor and a team member — one that changes how that person approaches their work tomorrow? Thi

It's one of the first questions every operations or EHS leader asks when they start looking at computer vision AI for workplace safety: "Do I need to buy new cameras?" The short answer is almost always no. Most industrial and commercial facilities already have CCTV cameras installed. If those cameras are modern IP (Internet Protocol) cameras — and the vast majority installed in the last decade are — they're almost certainly compatible with a computer vision AI platform like i

Your safety team is dedicated, experienced, and genuinely cares about getting people home safely. But even the best safety professionals have a fundamental limitation: they can only be in one place at one time. A single supervisor responsible for a warehouse floor, a loading dock, and a yard can't simultaneously watch every camera angle, every aisle, every intersection — 24 hours a day, 7 days a week. And yet the risks don't take breaks either. According to the National Safet

If you're an EHS professional evaluating safety technology, you've likely come across two distinct categories of software that sound like they do similar things. On one side, there's traditional EHS software — platforms like Cority, Intelex, VelocityEHS, or SafetyCulture that help you manage incidents, audits, compliance, and training. On the other, there's a newer category: AI safety software, which uses computer vision and machine learning to detect hazards directly from ca

New Zealand’s workplace health and safety record remains stubbornly poor – costing lives and billions of dollars each year. A recent Taskforce report has laid down five urgent recommendations to drive real change. Industry voices must now push for action, while solutions like AI can deliver immediate safety improvements on the ground.

You don't need to be a machine learning engineer to understand how computer vision keeps people safe at work. But if you're an EHS leader, operations manager, or safety professional evaluating this technology, understanding the basics is genuinely useful. It helps you ask better questions, set realistic expectations, and make a more confident decision about whether it's right for your site. So let's strip away the jargon and walk through exactly how computer vision works for

Every year, roughly 395 million workers around the world are injured on the job. In the United States alone, businesses absorb more than $50 billion annually in costs tied to the most serious workplace injuries. Behind every one of those numbers is a person — someone who went to work expecting to come home safely. For decades, EHS (Environment, Health, and Safety) teams have worked hard to prevent these outcomes. They've built safety systems, run audits, delivered toolbox tal