Capture the signal
Preserve time, place, equipment and the original field observation.
Mining operations
When something happens on shift, the controller shouldn't be hunting for the procedure. Airon agents put the procedures, current conditions and prior events in front of the person making the call, then keep the record as the response unfolds — ready for assurance and client reporting.
Governed response loop
Preserve time, place, equipment and the original field observation.
Retrieve current procedures, conditions, rosters, permits and related events.
Show evidence and conflicts to the person accountable for the response.
Keep approvals, acknowledgements and corrective work in one reviewable trail.
Working example
In the sandbox, Marshal receives a field event, retrieves the governing material, surfaces the decision to the controller, and tracks the approved response through acknowledgement and review.
The engagement
No platform rollout or open-ended implementation program — a working agent inside one response or readiness loop, governed from day one, with a clean keep-or-stop decision at the end and a record your assurance reviews can stand on.
One workflow, mapped end to end, and a straight answer: where AI belongs, and where it doesn't. The map is yours either way.
Four to six weeks. A working agent in the real workflow, measured against a baseline agreed up front. At the end, a number — and the keep-or-stop call made on it.
The proven agent moves to production — on-premise, the airon appliance, or approved cloud where you allow it, decided by what its records require. It runs alongside the AI you already use.
After go-live we keep watch on quality, cost and model behaviour as the work changes. The audit record stays current, ready for your clients to inspect. When the numbers support it, the next workflow gets mapped.
The first conversation is about the work, not the technology. If an audit is the right next step, we scope one. If it is not, we say so.