Identify which health and safety document types are suited to generative AI drafting.
Occupational Health & Safety
Using Generative AI to Draft and Review Health and Safety Documents
Teaches safety professionals to draft and review risk assessments, method statements and policies with generative AI while checking outputs for accuracy, currency and legal defensibility.
🗓️Duration5 training days
📚Content4 modules · 8 sessions
🎓On completionAccredited attendance certificate
About the programme
Course Overview
A generative AI tool can produce a first draft of a risk assessment or a method statement in seconds, but a document that reads fluently is not the same as one that reflects the actual task, the current legislation or the hazards on a specific site. This course teaches safety professionals how to use generative AI to draft and review health and safety documents without handing over judgement the role still requires. Participants learn which document types suit AI drafting, risk assessments, method statements, policies and toolbox talk scripts, and how to write prompts that produce site-specific rather than generic content. The course covers checking AI outputs against current legislation, standards and site data, recognising hallucinated requirements that sound plausible but do not exist, and managing the residual risk of an unverified document reaching a work site. Sessions address data protection and confidentiality when incident details or site information are entered into an AI tool, and the review, sign-off and audit trail a document still needs before anyone relies on it. The course closes with building a prompt library and document templates that let a safety team scale AI-assisted drafting while keeping a competent human accountable for every document issued.
Expected Learning Outcomes
Write prompts that produce site-specific, usable first drafts rather than generic content.
Check AI-drafted documents against current legislation, standards and site-specific hazards.
Recognise hallucinated requirements or citations that an AI tool has generated incorrectly.
Apply data protection and confidentiality controls when using AI tools with incident or site data.
Establish review, sign-off and audit trail requirements for AI-assisted safety documents.
Build a prompt library and template set that scales AI-assisted drafting across a safety team.
Who Should Attend
Health and safety advisers and managers drafting risk assessments and method statements.
Safety document reviewers responsible for sign-off before work proceeds.
EHS team leads considering generative AI tools to speed up documentation.
Consultants producing safety documentation across multiple client sites.
Contractors preparing method statements and RAMS packs for principal contractors.
IT and data protection staff assessing AI tool use within a safety function.
Course Modules
Select any module to see its sessions and points.
01Where Generative AI Fits in Safety Documentation
2 sessions · 8 points
Session 1Mapping Suitable Document Types
- Assess which document types, from risk assessments to toolbox talks, suit AI-assisted drafting.
- Identify documents where AI drafting saves the most time without raising unacceptable risk.
- Distinguish drafting support from decisions that must remain with a competent person.
- Set boundaries on document types an organisation chooses not to draft with AI at all.
Session 2Prompt Design for Site-Specific Content
- Structure prompts that include task, environment, equipment and known hazards for accurate drafting.
- Provide reference material within a prompt so outputs reflect the organisation's actual procedures.
- Iterate a draft through follow-up prompts rather than accepting the first output as final.
- Avoid prompts that invite generic, templated language disconnected from the real task.
02Verification, Accuracy and Legal Currency
2 sessions · 8 points
Session 1Checking Outputs Against Legislation and Standards
- Cross-check AI-cited legislation, standards or codes against current, verified sources.
- Confirm that control measures proposed by the AI tool are practical for the actual site.
- Check numerical values, such as exposure limits or distances, against authoritative references.
- Flag any AI-generated content that cannot be traced back to a verifiable source.
Session 2Identifying Hallucinated Requirements
- Recognise confidently worded but incorrect requirements that an AI tool has fabricated.
- Test suspect claims by asking the tool to cite its source and checking that source independently.
- Maintain a log of AI drafting errors found during review to sharpen future prompt design.
- Treat every AI-drafted figure or citation as unverified until a competent person confirms it.
03Governance, Confidentiality and Accountability
2 sessions · 8 points
Session 1Data Protection When Using AI Tools
- Assess which incident, personal or site data must never be entered into a public AI tool.
- Apply anonymisation or redaction before using incident narratives to prompt document drafts.
- Choose AI tools and data-handling settings appropriate to the sensitivity of site information.
- Document the organisation's rules on AI tool use for safety documentation in a short policy.
Session 2Review, Sign-Off and Audit Trail
- Route every AI-assisted document through the same competent-person review as a manually drafted one.
- Record which sections of a document were AI-drafted to focus review attention appropriately.
- Maintain version control that shows how a document changed between AI draft and final sign-off.
- Assign clear accountability so a named individual, not the AI tool, owns each issued document.
04Scaling AI-Assisted Documentation
2 sessions · 8 points
Session 1Building Prompt Libraries and Templates
- Create a shared library of tested prompts for common document types across the safety team.
- Standardise templates that guide the AI tool towards the organisation's preferred structure and tone.
- Update the prompt library as reviewers identify recurring gaps or errors in AI output.
- Train new team members to use approved prompts rather than improvising from scratch.
Session 2Measuring Quality, Speed and Consistency
- Track drafting time saved against the review time AI-assisted documents still require.
- Compare error rates between AI-assisted and manually drafted documents over a review period.
- Assess whether AI assistance improves consistency of terminology and structure across documents.
- Report drafting efficiency and quality outcomes to justify continued or expanded AI tool use.
What the participant receives
4 course modules
A structured syllabus
8 training sessions
across 5 days
32 detailed points
Applied, detailed content
Accredited attendance certificate
On completing the programme
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