Read
Tender drawings, schedules, addenda and scopes enter one indexed working set.
Construction operations
Price the work. Control the work. Keep the evidence.
Airon agents support two high-consequence workflows: building a defensible estimate before award, and turning site observations into governed safety action during delivery.
Use case 01 · Estimating agent
A first estimate built from the work you have already delivered.
Gauge turns the tender pack, current commercial evidence and delivered-job history into a reviewable draft without hiding the assumptions that need an estimator.
Compare
Delivered projects, current rates and supplier evidence are retrieved against the new work.
Challenge
Loose scope, latent conditions, exclusions and margin-sensitive assumptions are raised.
Draft
The estimator receives a traceable first estimate and keeps the final judgement.
Use case 02 · Work safety agent
Turn a site signal into an accountable response.
A hazard report comes in from site. Marshal pulls up the SWMS that applies, the current site conditions and the person responsible, and waits for their call. The corrective action lands in the same record, still current when the review asks for it.
Observe
Preserve the original field observation with place, time and site context.
Check
Retrieve the relevant SWMS, procedure, role, permit and current site condition.
Approve
Route the proposed response to the person accountable for the work.
Close
Track acknowledgement and corrective work in the same reviewable record.
The engagement
Four to six weeks. One workflow. Your evidence.
No platform rollout or open-ended implementation program — a working agent on the loop you choose, estimating or site safety, governed from day one, with a clean keep-or-stop decision at the end.
Map · Inference Audit
One workflow, mapped end to end, and a straight answer: where AI belongs, and where it doesn't. The map is yours either way.
Prove · Governed Pilot
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.
Place · Private Deployment
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.
Run · Managed Operations
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.