AI in Safety: From Hype to Real-World Impact

How artificial intelligence is already improving safety inspections, reporting, and risk forecasting—and where it still falls short.

• By Naaman Shibi
• Jun 17, 2025

What’s real, what’s hype, and where artificial intelligence is making a difference:

• Artificial Intelligence (AI) is everywhere these days. Whether in boardrooms or on job sites, we’re constantly hearing that:
• “AI is transforming business”
• “Automation is the future.”
• “If you're not using AI, you're falling behind.”

But how much of this is happening in practice? More importantly, what can AI do right now to support safety and compliance in high-risk industries? And how should organizations approach it without getting swept up in the hype?

This short article explores where AI is already delivering results, where it still falls short, and how businesses can use it effectively and realistically.

From Manuals to Algorithms

Once, safety professionals relied on printed manuals and binders of procedures, standards, and SOPs. Then came the internet, which made information searchable and accessible. Now, AI promises to go one step further. It doesn't just find data, it interprets it, analyses it, and makes recommendations.

That potential is real, but it’s not without challenges. Many AI tools still require close review. They can generate results that sound convincing but are based on incomplete or unreliable data. In other words, AI can be helpful but only when used carefully.

Where AI is Already Making a Difference

Despite the hype, AI is showing clear value in certain parts of safety operations, especially where the tasks are routine, structured, and data-rich.

Image Analysis in Inspections AI can scan photos from inspections to detect cracks, corrosion, missing parts, or safety hazards. This saves time and helps identify issues that might go unnoticed during fast-paced visual checks.

Voice-to-Text and Verbal Tagging. Field workers can record voice notes instead of writing them down. AI transcribes these notes, summarizes the key points, and automatically includes them in reports. This cuts down on paperwork and improves consistency.

Predictive Maintenance and Risk Forecasting. By analyzing historical asset data, AI can help predict when equipment is likely to fail. This lets maintenance teams act early, reducing downtime and improving site safety.

Automated Reporting and recommendations, AI tools can instantly generate summaries, checklists & compliance reports based on

inspection data. This ensures consistent documentation and helps keep teams aligned.

Why These Use Cases Work

These examples succeed because they follow a pattern:

The tasks are repeatable and clearly defined

The data is clean and structured

AI supports human decision-making instead of replacing it

The goal is not to remove human expertise but to help teams work faster and more accurately.

What AI Still Can’t Do (Yet)

While AI is improving quickly, it still has real limitations. It cannot:

Understand complex safety environments without context

Replace physical inspections or professional risk assessments

Guarantee 100% accuracy without human review

For now, AI is best used as an assistant. It can process data quickly and highlight concerns, but people still need to make the final call.

How to Introduce AI into Safety Workflows

Getting started with AI doesn’t mean buying an expensive system or hiring a team of data scientists. The most successful implementations follow a few basic principles:

Start with clean, accurate data

Integrate AI into the tools you already use, like inspection platforms or ERPs

Set up clear workflows so insights turn into action

Train your team to review & understand AI output

Most importantly, begin with focused, manageable goals. Test, learn, and build confidence before expanding.

Looking Ahead & Final Thoughts

AI has huge potential in the safety world, but we’re still in the early days. Like the internet in the 1990s, the excitement is real, but so are the growing pains. Smart organizations are using AI in small, practical ways.They’re not waiting for perfect tools. They’re starting now, using AI to support specific tasks that benefit from automation and data insights.

AI will eventually change how we manage and report on safety. But it won’t happen all at once. The best approach today is to stay grounded. Start small. Focus on solving real problems.

In industries where safety is critical, accuracy and good judgment matter. AI can help you move faster and work smarter, but only if it’s implemented with purpose and oversight.

The future is promising, and with the right approach, it’s already beginning to make a difference.