CoR-Evidence Monitor | Real Minds AI
Agriculture & Primary IndustryDocument processinglive

CoR-Evidence Monitor

Watches the driver logs, telematics, and maintenance records where Chain of Responsibility evidence lands, flags a fatigue, mass, or work-hour breach before an inspection finds it, and assembles an audit-ready evidence pack against the Heavy Vehicle National Law — surfacing exceptions for the compliance manager, never signing off on its own.

realmindsai.com.au/theater/demos/logistics_cor-evidence-monitor.html · sandbox · read-only
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How it would work

One agent, grounded in your library, with citations on every paragraph.

01 · input
Member question
02 · agent
Your agent
03 · output
Cited answer or escalation
The problem it solves

Driver fatigue hours, rest breaks, mass declarations, and maintenance records have to be audit-ready at any moment, with directors personally exposed and corporate penalties reaching into the millions under the Heavy Vehicle National Law. The mechanism is consistent: in most operations these records sit scattered across driver logs, telematics, and email, and get pulled together only when an inspection forces it — assembled after the fact, under pressure.

This pattern captures the records as the work happens, checks each against the HVNL work, rest-hour, and mass thresholds, and flags a breach or near-miss with the specific provision named before an inspection finds it. It keeps the evidence pack continuously current, with a trail showing how every figure was reached. Exceptions route to the compliance manager. The sign-off stays with a named person.

TA
Tracy Anthony · Co-Founder & CEO · wrote up this design
What it would take to build

Estimated build: 3–5 weeks. Most of it is template work we've already done.

Estimated build time
3–5weeks
Diagnostic · build · soft launch · review.
Reused from template
~70%
Agent shell · retrieval · audit · deployment.
Bespoke to this skin
~30%
HVNL rule encoding, record-source mapping, evidence-pack template.
stack · Power Platform · Dataverse · telematics API · LLM extraction
What it would cost for your org

Fixed scope, fixed price, fixed dates.

The cost band reflects the engagement shape, not a per-feature line item. We work on fixed scope, fixed price, fixed dates — see the services catalogue for what falls inside each band.

Engagement band
A bite-sized first piece → pilot build → embedded support. Start small, scale on proof — most builds land in the pilot band.

Considering this for your org?

The honest place to start is a bite-sized first piece — one contained change, low risk. Tell us where it hurts; we’ll play it back, scope it, and show you what’s possible.

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