Label Compliance Checker
Dramatised Label Compliance Checker demo for food-bev (fake data) — shows the pattern; a person approves each output.
realmindsai.com.au/theater/demos/food_label-compliance.html · sandbox · read-only
Open the live demo →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
Interactive demo of the Label Compliance Checker pattern for food-bev. Dramatised mockup (fake data) showing what the AI workflow looks like end to end, with a human approving each output.
What it would take to build
Estimated build: 3–4 weeks. Most of it is template work we've already done.
Estimated build time
3–4weeks
Diagnostic · build · soft launch · review.
Reused from template
~70%
Agent shell · retrieval · audit · deployment.
Bespoke to this skin
~30%
FSANZ labelling-rule encoding, label-field extraction.
stack · Claude vision · FSANZ rule set · review UI
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.