Start with a defined task

“Use AI for safety” is too broad to govern. Name the task, the information used, the intended output, the person who reviews it and the consequence of error. A low-consequence drafting aid needs different controls from a system that influences an operational decision.

Tasks AI may support

Drafting and structuring
Organise supplied information into a consistent first draft, checklist or briefing. The reviewer checks accuracy, relevance and omissions.
Searching controlled information
Help authorised users find material in an approved knowledge set. Results should preserve source links and version information.
Pattern and theme review
Surface recurring terms or associations in incident, assurance or feedback data. Treat the output as a lead for investigation, not a causal finding.
Administrative workflow
Route tasks, prepare summaries or flag missing fields where the rules and exception handling are explicit.

Where errors become dangerous

  • The model lacks site, equipment, worker or task information that changes the risk.
  • Confident language hides uncertainty or an unsupported assumption.
  • Historical data reflects under-reporting, bias or changing work.
  • A generated control is generic, impracticable or lower in the hierarchy than a feasible alternative.
  • Users treat a polished document as evidence that consultation, observation or approval occurred.

Five controls for responsible use

Purpose
What defined task may the system perform, and what is prohibited?
Information
What data may be entered, where does it go and how long is it retained?
Evidence
Can a reviewer trace material statements to a source or user input?
Oversight
Who is competent and authorised to review, reject, approve or escalate?
Monitoring
How will errors, near misses, model changes and user workarounds be detected and addressed?

Worker privacy and participation

Monitoring, images, location, health information and free-text feedback can affect workers materially. Involve workers and relevant representatives early. Define necessity, proportionality, access, retention and the route to challenge or correction. Assess the privacy risks before processing begins, and complete a data protection impact assessment where required for the proposed processing.

Human oversight must change the outcome

A nominal approval click is not meaningful oversight. Reviewers need the competence, information, time and authority to question the output, inspect the work, seek contrary evidence and reject or escalate the result.

A practical adoption sequence

  1. Select one defined task and document the consequence of error.
  2. Confirm data, privacy, security and worker-participation requirements.
  3. Set evidence, review, approval and stop rules.
  4. Test representative and difficult cases before live use.
  5. Monitor outputs, user behaviour, incidents and model changes.
  6. Expand only when the evidence supports expansion.

Sources & scope

UK-focused guidance: HSE sources concern Great Britain; HSENI provides the Northern Ireland context. Apply the requirements relevant to the location and work; UK legal guidance must not be assumed to apply internationally.

Final source check: 25 September 2026.

  • HSE — Managing risks and risk assessment at work: Steps needed to manage risk

    Workplace context, worker involvement, controls, action ownership and review after change. Great Britain; practical risk-management guidance, not an AI validation standard.

  • HSE — Appoint a competent person

    Competent judgement, seeking professional help and responsibility remaining with the employer. Great Britain; employer responsibility and competence. Does not verify any named consultant or product.

  • HSENI — Five steps to risk assessment

    Northern Ireland context for worker involvement, practical controls, responsibility and review. Northern Ireland; current accessible official landing page and linked 2017 practical leaflet. Not a comprehensive statement of every applicable law.

  • ICO — Data protection and monitoring workers

    Worker privacy and participation: purpose, necessity, proportionality, transparency, retention and pre-processing impact assessment. UK personal-data processing. ICO marks this guidance under review following the Data (Use and Access) Act. Not a product privacy assessment.

  • ICO — How do we ensure individual rights in our AI systems?

    Human oversight must change the outcome: meaningful challenge, competence, authority and automation bias. UK data protection and meaningful oversight. Guidance is under review following legislative change; cited for practical oversight/automation-bias discussion only, not a definitive current Article 22 interpretation.

  • NCSC — The cloud security principles

    Five controls and adoption sequence: assess information handling, supplier evidence, access and operational security. Cloud/SaaS supplier assessment guidance; not evidence that any IntelliSafely product meets these principles.

  • NCSC — ChatGPT and large language models: what’s the risk?

    AI drafting limitations, convincing errors, uncertainty and caution with sensitive information. Official NCSC primary technical commentary dated 14 March 2023. Used only for enduring LLM error/bias and sensitive-input cautions, not its historical vendor/model or retention descriptions.

  • NCSC — Guidelines for secure AI system development

    Defined use, lifecycle risk assessment, monitoring and change management in the adoption sequence. AI-provider lifecycle security guidance; adapted as questions for buyers/risk owners, not proof of functional safety or product conformance.

The practical AI-use examples and review checklist are professional guidance, not claims that every AI tool performs these tasks or that the sources certify the method. Professional review is by the author, not independent peer review or legal advice.

How IntelliSafely describes its own use

IntelliSafely’s portfolio distinguishes AgentRG for broader OHS workflows, RiskGenix for focused AI-assisted risk assessment, and CultureRG for workforce listening. This article describes general professional guidance, not verified product features or technical controls. Software output is not automatically consultant-reviewed.

Compare applications for brief product positioning and links to their product websites.