Job
Collection and delivery commitments, freight properties and customer constraints.
Transport operations
Airon agents match the job, vehicle, driver and route; test the governing constraints; and send only material exceptions to the dispatcher — while proof of delivery and the compliance record stay with every job.
Dispatch-risk clearance
Collection and delivery commitments, freight properties and customer constraints.
Vehicle availability, payload, equipment state, driver competency and service history.
Access, permits, operating windows, fatigue position and freight-specific rules.
Human resolution for material exceptions, then an evidence-backed dispatch record.
Exception handling
When capacity, access, fatigue or freight rules conflict, the dispatcher receives the issue, source evidence and available resolution paths together.
Traceability
The dispatch record retains the checks, documents, exceptions and approvals behind release without asking the team to reconstruct them later.
The engagement
Define today's exception rate and dispatch effort, prove the clearance loop against your real records in four to six weeks, then make the keep-or-stop call on numbers — no platform rollout, no open-ended implementation program.
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.