In high-risk industries, AI creates value when it augments the process loop (summarising, prioritising, active nudges and highlighting patterns), not when it pretends to replace it. Good data in, better decisions out.
The promise and the trap.
Currently there are many shiny AI pitches suggesting that their systems will “do safety” or “run operations.” However, these products have little substance, and their confident claims with only thin inputs, will soon become expensive distractions for you.
What good AI looks like.
- Summarises long notes into crisp exceptions a supervisor can scan in 30 seconds.
- Prioritises actions by severity, ageing and proximity to critical work.
- Nudges owners before a job starts if a related control is weak.
- Highlights patterns across sites to focus next week’s improvements.
Working examples:
- Refinery/Chemicals: Suggests a likely owner and due date when a permit finding references a control with recent re-opens; flag re-inspection automatically.
- Aviation/Transport: Surface patterns in ground-equipment checks or load-restraint exceptions by route/shift; nudge before the next turn or dispatch.
- FMCG: Summarise sanitation deviations and prioritise actions ahead of allergen-sensitive runs.
Where Unifii fits into your operations.
Unifii with its rich capture (photos, context, control references), owned actions and verified closure workflows, uses AI to help you get the work done with suggestion prompts, triage, surface patterns… alongside data capture that you can trust, and closures you can evidence. Provenance is logged; people stay in control.
What we like to ask of every AI promise is: “will this speed the loop from finding, to action, to verified close?” If the sanswers 'yes', we pilot it on one area for with human confirmation on critical steps; if not, it’s just another shiny, but useless dashboard.
Lead well and be safe.
Paul
