AI is transforming traditional health and safety practices. It’s showing up in the everyday reality of workplaces all over the world – helping teams to spot risks earlier, learn faster from incidents, and spend less time buried in admin.
But not all AI health and safety tools are the same. Some sit inside full safety management platforms, some watch your workplace through cameras, and some are general assistants that can supercharge the work you already do.
This practical guide outlines seven of the best AI tools for health and safety and how to use them.
Why AI matters for health and safety teams
If you’re managing health and safety, you’re likely juggling a familiar set of pressures including continuous operational demands and the weight of legal compliance.
AI tools can support your everyday work by doing what computers are good at: pattern-spotting, summarising, predicting, and monitoring continuously. That doesn’t replace your judgement – it augments it. Think of AI as a co-pilot that handles the heavy lifting so you can focus on strategic prevention, engagement, and improvement.
Imagine if you could generate reports, summaries, and safety briefings with the click of a button. Or uncover hidden patterns in your safety data that might otherwise go unnoticed. Or generate ideas for risk mitigation in just a few clicks. AI can dramatically reduce the manual effort involved in all of these tasks. It can cut costs and help you improve and reinforce the importance of safety across your whole organisation.
So, read on for our breakdown of the best AI tools in health and safety.
What are the best AI tools for health and safety?
We’ve split the tools into three categories based on their use: AI-powered safety management platforms, computer vision AI, and general AI assistants.
AI-powered safety management platforms
These are full health and safety management systems with AI integrated into the platform.
1.) Incident Management Assist powered by Notify Spark AI
What is it?
Notify Spark is an AI-powered companion that converts your incident and investigation data into high-quality insights and ready-to-share outputs.
How it helps
Imagine a serious incident happens. Everyone’s safe, but it’s an injury which could have had severe consequences. You need to:
- Brief the executive team
- Prepare a safety briefing
- Document findings for your monthly review
- Produce actions and uncover root causes
- Write a toolbox talk to help prevent recurrence
That’s usually a long, admin-heavy set of tasks.
With Notify Spark, once your incident is logged, the AI companion can instantly generate:
- Concise incident summaries
- Executive updates
- Suggested root-causes
- Action recommendations
- Structured toolbox talk scripts
All you need to do is review, tweak, and send – saving you hours of work.
2.) Cority Applied AI
What is it?
Cority is an EHS platform with AI capabilities focused on predictive risk analytics.
How it helps
Cority uses AI models trained on your historical data (including incidents, near misses, operational information, and inspections) to:
- Predict where incidents are most likely to occur
- Identify risk hotspots by site, process, time, or task
- Prioritise interventions before harm happens
Some organisations also integrate AI-enabled ergonomic or video analytics into Cority workflows to reduce musculoskeletal injuries and unsafe behaviours.
Computer vision AI
Computer vision tools use AI to interpret video feeds from CCTV or dedicated cameras. Think of them as a 24/7 digital safety observer that can spot risks that humans may miss.
These are among the fastest-growing areas of AI health and safety technology.
3.) Intenseye
What is it?
Intenseye is a computer-vision safety platform designed for industrial and high-risk workplaces. It turns video feeds into real-time safety insights through effective hazard detection.
How it helps
Intenseye can automatically detect things like:
- PPE non-compliance
- Unsafe proximity to moving equipment
- People in restricted areas
- Unsafe manual handling behaviours
- Near miss events that aren’t reported
It then flags patterns and sends alerts so you can intervene early.
4.) Protex AI
What is it?
Protex AI uses computer vision to monitor workplaces via existing CCTV and identify unsafe acts or conditions in real time.
How it helps
Protex can detect events such as:
- Slips, trips, and falls
- Incorrect lifting
- Vehicles entering pedestrian zones
- Unsafe machine interaction
It also layers on a generative-AI copilot to summarise trends and produce actionable reporting for safety teams.
General AI assistants
These tools aren’t built specifically for safety, but they can be incredibly powerful for health and safety teams if they’re prompted well and outputs are reviewed carefully.
5.) ChatGPT
Where it helps health and safety teams:
Drafting policies and procedures
Creating policies often isn’t the most exciting task, and traditionally, it takes a lot of time and effort. Now, you can use tools like ChatGPT to produce a strong first draft in seconds. Remember, AI doesn’t know your organisation’s unique workflows, so use professional judgement to refine any outputs.
Use-case example – drafting a policy, with a sample prompt relevant to a health and safety leader in manufacturing:
You are a specialist health and safety policy writer with experience applying UK HSE best practice and relevant UK regulations to manufacturing sites. Your task is to draft a complete, ready-to-implement safety policy and supporting implementation package for a manufacturing site, so the site’s working operations are demonstrably safe and compliant with HSE guidance.
Before you begin, ask any clarifying questions you need about the site. If the user does not provide specifics, produce a well‑reasoned, adaptable policy for a typical UK manufacturing facility and clearly mark any assumptions you make (e.g., number of employees, shift patterns, presence of hazardous substances, types of equipment, presence of lifting/hoisting, confined spaces).
Required inputs (user will supply or confirm; request if missing)
- Site name and primary manufacturing activity (e.g., metal fabrication, food production, plastics moulding)
- Site size: number of employees, number of shifts
- Presence of hazardous materials, hot works, high-noise processes, confined spaces, high-voltage equipment, lifting operations
- Whether the site is part of a larger group with existing corporate H&S requirements
- Any existing certifications (ISO 45001, etc.)
- Any specific concerns or recent incidents to address
Deliverables and structure (produce all of the following)
1. Policy statement
- One-page concise senior management safety policy statement signed by site manager/MD (clear commitments and responsibilities)
2. Full safety policy document (clear headers and numbered clauses) covering:
- Purpose and scope (which activities, areas, personnel and contractors are covered)
- Legal and HSE framework referenced (e.g., Management of Health and Safety at Work Regulations, COSHH, PUWER, LOLER, Confined Spaces Regulations, Fire Safety, HSE guidance documents) — include specific HSE guidance titles and webpage links where relevant
- Roles and responsibilities (board/senior management, site manager, supervisors, safety officer, employees, contractors)
- Risk assessment approach and frequency (methodology, risk matrix, hierarchy of controls)
- Key control measures by hazard area (machine guarding, isolation/lockout-tagout, PPE, COSHH controls, ventilation, manual handling controls, noise control, electrical safety)
- Permit-to-work and hot-work procedures
- Contractor management and permit/induction requirements
- Training and competence (induction, refresher training, job-specific competence, record keeping)
- Health surveillance and occupational health arrangements
- Incident reporting, investigation and root cause analysis process (including RIDDOR reporting requirements)
- Emergency arrangements (fire, spill, medical emergency, evacuation, emergency contacts)
- Monitoring, inspection and audit arrangements (daily checks, monthly inspections, annual audits)
- Performance measurement and KPIs (leading and lagging indicators), targets and tolerances
- Worker involvement and consultation (safety reps, toolbox talks, safety committee)
- Document control, record retention and review frequency (policy review cycle, revision control)
- Disciplinary and non-compliance handling
3. Implementation plan (practical, time‑bounded)
- 90‑day, 6‑month and 12‑month action plans with responsible persons and milestone dates
- Resource estimate (training hours, equipment, staffing or contractor needs
4. Practical templates and tools (ready to use)
- Blank site risk assessment template and a completed example for 2 common hazards at the site
- Permit-to-work template (hot works/isolation)
- Toolbox talk checklist and 5 sample toolbox talk topics
- Incident report form and investigation checklist
- Inspection checklist (daily/weekly) for the shop floor
- Training matrix template
- Simple KPI dashboard (table) with suggested targets and data sources
- Sample signage and PPE matrix (what PPE for which tasks)
5. Risk register excerpt
- Top 10 site risks with current controls, residual risk rating, recommended further actions and target completion dates
6. Communication pack
- One-page staff briefing note summarising the new policy and key actions for employees
- One-slide (text) summary for senior management showing commitments, costs and key milestones
7. Audit and review schedule
- Suggested frequency and scope for internal audits, external reviews and management reviews
Presentation and style requirements
- Use plain, practical English suitable for site managers, supervisors and safety reps
- Use headings, numbered lists and tables to present information clearly. Include short, actionable sentences and measurable targets where possible
- For all procedures and templates, include “who, what, when, where, how” and file storage location suggestions
- Clearly mark any assumption or where site‑specific data is required
Regulatory and guidance alignment
- Explicitly reference relevant HSE guidance and Approved Codes of Practice. Where you cite guidance, provide the HSE document title and (if possible) a link or web reference
- Where appropriate, align policy language with ISO 45001 clauses (context, leadership, planning, support, operation, performance evaluation, improvement) to aid certification if required
Quality checks and outputs
- Provide a one‑paragraph executive summary that explains the main safety risks and the single most important action the site should take first
- Highlight three quick wins that can be implemented within 30 days with low cost
- Provide a short checklist for management to use in the first 30 days to demonstrate commitment and visibility
- Ask at least three clarifying questions (if any site details are missing) before finalising the policy
Output formats
- Provide the policy and all templates in reproducible text (easy to copy into Word or Google Docs)
- Include tables for the KPI dashboard, risk register excerpt, and implementation plan
Tone and constraints
- Do not provide legal advice; instead, state facts about HSE guidance and recommend obtaining legal or specialist occupational health advice for complex matters
- Keep the final policy practical and enforceable — avoid overly academic wording
Example starter instruction for the assistant you will be prompting (to be used exactly as written at the top of the prompt you generate to a policy-writing model).
“You are an expert UK health & safety policy writer with practical experience implementing HSE guidance in manufacturing. Draft a complete site safety policy and implementation package as described below. Ask clarifying questions if any site details (activity type, workforce size, hazardous processes) are missing. Produce all deliverables in plain English, using headings, tables and templates suitable for direct use.”
End by listing the clarifying questions the assistant should ask the user if site specifics are not yet provided (at least 5).
Summarising Safety Data Sheets (SDS)
Technical documents are often filled with jargon and complex language, making them hard to interpret quickly. AI can turn these documents into clear summaries that highlight essential information.
Use-case example – summarise an SDS for hydrochloric acid in plain language for shop-floor teams, including hazards, required PPE, and first-aid steps.
Creating audit checklists and mock questions
Using AI to support audits can reduce preparation time and help ensure nothing gets overlooked. It can assist with internal audits, identify gaps before external assessments, and train teams on what to expect during certification visits. This can mean fewer non-conformances and more confidence going into audits.
Use case example – Create an ISO 45001 internal audit checklist for a manufacturing SME, including possible auditor questions.
Breaking down communication barriers
ChatGPT can help you communicate with diverse teams who speak different languages or have varying literacy levels, ensuring important information lands clearly.
Use case examples –
1.) Translate a critical safety alert into French, Polish, and German.
2.) Simplify a safety checklist into clear, actionable instructions.
6.) Microsoft Copilot
Copilot is especially helpful if your organisation uses Outlook, Teams, Word, and Excel heavily.
Great use cases:
- Turning meeting notes into action logs
- Drafting safety briefs based on Word documents and email threads
- Analysing accident trends in Excel
- Creating slide decks for board reporting quickly
Tip: Keep sensitive incident data secure and check your IT settings on data handling.
7.) Google Gemini
Gemini is similar to Copilot, but it is built to excel in Google Docs, Google Sheets, and Google Drive.
Helpful use cases:
- Turning site inspection notes into structured reports
- Summarising long documents quickly
- Drafting training communications
- Interrogating spreadsheets (e.g., ‘find hotspots by shift/time/site’)
Tip: Use it to speed up first drafts, then apply your safety judgement before issuing anything.
Emerging AI health and safety tools to watch
Beyond the seven tools we’ve covered that are actively being used today, three areas of AI are accelerating fast. These aren’t ‘must-buys’ for everyone yet, but they’re worth keeping an eye on.
1. Wearables and smart PPE
AI-enabled helmets and vests can monitor fatigue, heart rate, heat stress, and falls – and alert supervisors in real time. These have great potential for lone working and high-risk environments.
2. AI-enhanced training
Virtual Reality (VR) and Augmented Reality (AR) can create immersive, scenario-based simulations, such as an evacuation, in a safe environment. These help improve retention because they’re far more effective than one-size-fits-all slide decks.
3. AI-powered robotics
Robots and drones fitted with AI can perform high-risk tasks, such as investigating confined spaces, significantly reducing human exposure to danger.
How to pick the best AI tool for your organisation
Selecting the right AI tool is about matching what the tool can do with what you and your organisation actually needs.
Define your requirements: Start with your pain points. What do you want the tool to solve, and what outcomes are you aiming for? Make these requirements specific, measurable, achievable, relevant, and time-bound (SMART). Involve the people who will use the tool day-to-day so decisions are based on real workflows, not assumptions.
Research options: Use sources like Google, G2, and trusted AI platforms to find tools that align with your requirements. Keep a shortlist focused on the problems you’re trying to solve rather than on ‘nice-to-have’ features.
Evaluate technical and operational fit: Book demos with shortlisted vendors and ask them to show how the tool handles your real scenarios. Look at:
Integration: Will it work smoothly with your existing systems and data?
Scalability: Can it grow with you as needs expand?
Usability: Is it intuitive for end users, with minimal training required?
Support and security: What onboarding, ongoing support, and security standards are in place?
We know that researching, scoping, and implementing new software can feel complex. That’s why we’ve created a short online course that walks through the full process. While it’s designed for health and safety software, many of the same steps apply when selecting AI tools.
Using AI responsibly
AI can be transformative, but only if used with care. It’s important to use it as a copilot, not an autopilot.
Key principles:
- Always review AI outputs. AI drafts can be great, but they can also be wrong.
- Maintain human accountability. Decisions sit with your safety leadership team, not the model. If something goes wrong, blaming AI won’t get you anywhere.
- Create clear policies. Define where AI is allowed, what it can be used for, and the approval steps.
- Bring IT in from day one. Especially for data privacy and vendor security.
- Be transparent with workers. Any monitoring tech (especially vision AI) must be explained with purpose, boundaries, and safeguards.
How Notify uses AI to help you manage health and safety effectively
Notify uses AI to take the heavy lifting out of incident and investigation management. This empowers health and safety teams to spend less time on admin and more time preventing harm.
With Notify Spark, the details captured in your incident reports are turned into clear, consistent outputs in seconds – from post-incident summaries and investigation write-ups to leadership-ready overviews. This standardisation helps improve data quality across sites, reduces the risk of inconsistent reporting, and makes it quicker to understand what happened, why it happened, and what actions are needed next.
Beyond reporting, Notify Spark helps safety managers move faster from learning to prevention. Spark informs root-cause analysis by highlighting likely contributing factors and potential corrective actions, then translating those insights into practical communications, such as plain-language safety briefings and tailored toolbox talks. The result is quicker, more scalable learning across the frontline, earlier visibility of emerging risk patterns for leadership, and a more proactive safety programme that’s driven by evidence.
Final thoughts
AI is no longer a futuristic idea in health and safety. It’s already helping teams work smarter.
Different AI tools solve different problems. AI-powered safety management platforms, like Notify Spark and Cority Applied AI, help you reduce admin, improve investigation quality, and uncover trends that support prevention. Computer vision tools, such as Intenseye and Protex AI, act as constant safety observers, spotting hazards and unsafe behaviours in real time. And general AI assistants, including ChatGPT, Microsoft Copilot, and Google Gemini, can speed up everyday tasks like drafting policies, summarising documents, preparing audits, and improving communication – as long as outputs are reviewed carefully.
To get started, focus on your biggest pain points first. Ask: where are we losing time or missing insight? Then shortlist tools that match those needs, test them against real scenarios, and involve end users early so adoption is smooth.
Finally, use AI responsibly. Review outputs, keep humans accountable, involve IT on data security, and be transparent with workers. Done well, AI helps you move faster from data to action, and from reaction to prevention.