Industry path

Occupational safety: AI needs domain accountability.

Potential areas: risk assessments, training, inspection notes and actions. Named accountable roles: safety professional and accountable manager.

WERKVERSTAND / CONNECTING INTELLIGENCE

The essential answer

In occupational safety, AI can initially assist with risk assessments, training, inspection notes and actions. Professional, legal and safety-critical decisions remain human.

01 / FIT

A good fit when

  • document and communication work is substantial
  • domain rules and approvals can be named
  • a real process owner supports the pilot

02 / LIMITS

Not the first choice when

  • AI is expected to replace a statutory or professional role
  • sensitive data is processed without classification
  • outputs affect external parties without review

Suitable entry points

Suitable entry points are structuring and preparatory tasks involving risk assessments, training, inspection notes and actions. A pilot tests whether completeness, preparation time and traceability actually improve against the baseline.

  • Consolidate and classify information
  • Prepare drafts with visible sources
  • Make deadlines, owners and exceptions explicit

The control boundary

Named accountable roles for decision and approval: safety professional and accountable manager. The workflow must enforce that approval technically, not merely mention it in a policy.

When sources conflict, data is unknown or people and contracts are affected, automation stops and records the reason.

Pilot with real edge cases

The pilot deliberately includes normal cases, incomplete inputs and critical exceptions. Rollout follows only after the manual fallback, permissions and review rate have proved workable.

Keep it verifiable

Primary sources

The next sensible step

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