PaddockPro | Real Minds AI
Agriculture & Primary Industry /Customer-service agent live field guide · 8 min

PaddockPro

Answers ~60% of member helpline calls without escalation, with every answer traceable to a source document.

theater/demos/agri_paddockpro.html · sandbox · read-only
Open
FIG. 1

The live demo, running on fabricated data. Open it to step through the full flow — every output is shown for a person to approve before anything happens.

How it would work

Reads each inbound grower enquiry, classifies and routes it, drafts a reply grounded in your own approved material with the source cited, and hands every chemical-safety item to an agronomist to sign off before anything is sent.

Input 01
The enquiry + your library

An inbound message — helpline note, email, portal enquiry — alongside your indexed library: product labels, position statements, technical notes, spray-diary guides, and prior helpline answers.

Agent 02
Reads, routes, drafts

Detects the signals — product named, chemical-safety wording, account — classifies intent and urgency, routes to the right desk, and drafts a reply that quotes the relevant source document and section.

Output 03
A cited draft, held for sign-off

A drafted reply with its source citation shown, plus a confidence read. Routine enquiries wait for staff approval; anything touching chemicals, withholding periods or livestock is escalated to an agronomist to sign off before it is sent.

Where it works well

It answers the thirty recurring questions every time, with the source attached, so staff stop repeating themselves.

  • Best for a grower body, ag retailer or co-op fielding a high volume of recurring enquiries against a small technical team.
  • At the routine end — stock, delivery, "where do I find" — a cited draft lands in seconds instead of pulling a technical officer off advisory work.
  • The recaptured hours go back into the genuinely novel queries and the field visits, not the phones.

The invisible cost of a member helpline is repetition — the same withholding, label and stock questions, answered from memory, twelve hours a day, while the answer already sits in a position statement or a product label nobody re-reads.

Where it works badly

It is confidently wrong when the source it quotes is out of date — and a cited reply reads as more authoritative than the document behind it.

  • Weak on chemical-safety questions — grazing withholding periods, label rates, residue rules — where the label is the legal source and a stale copy is dangerous, not just untidy.
  • Weak where an enquiry needs an agronomic judgement call rather than a lookup; it should escalate, not improvise.
  • If your library is a folder of undated PDFs nobody owns, the draft inherits every gap in it.
The honest test

If you cannot say, right now, that the product label and position statement in the library are the versions in force today, this tool makes your wrong answer faster and better-cited, not safer.

Point it at a superseded product label or last season's position statement and it drafts a clean, sourced answer carrying a withholding period or a rate that no longer holds. The citation makes the wrong answer look checked. That is the trap.

What it doesn't do — and shouldn't

It drafts and cites. A person approves — and on chemical safety, an agronomist does. That boundary is deliberate.

WHAT IT DOES
Quotes the source document and section it drafted the answer from
Flags chemical-safety, withholding-period and livestock enquiries for agronomist sign-off
Shows a confidence read and routes low-confidence items to a human
WHAT IT WON’T
Send any reply on its own say-so
Confirm a withholding period or label rate as current
Make the agronomic judgement call on a novel query

A wrong withholding period or label-rate answer can put residues into produce or livestock and breaches the APVMA-registered label, with consequences for the grower's saleable produce and the adviser's standing. State chemical-use law requires records to be made promptly and kept, so the accountable person — the agronomist — stays on the answer because the consequence lands on them, not the tool.

What your data has to look like

Your published material, dated and current — above all the product labels and any withholding rules in force today.

44%
Typical readiness
across orgs we see, before the first job
Product labels and permits, current versions
Needs shaping
Position statements and technical notes, dated
Usual weak point
Prior helpline answers, captured and searchable
Needs shaping
A routing map of which enquiry types go to which desk
Usual weak point
Member / account records to attach context
Usually ready
The real first job

The product labels and withholding rules are the weak point — held as a drawer of PDFs of unknown vintage. Getting your published material into a dated, current, searchable library — and naming who keeps the labels current — is usually the real first job, bigger and more valuable than the drafting layer on top. Once the library is clean and current, every cited answer after that is right by default.

Right fit if…
You run a grower helpline or member advisory line with a small technical team
The same thirty questions recur daily — stock, labels, withholding, delivery
You can point to the current, in-force version of each product label today
Your position statements and technical notes are dated and owned
Walk away if…
Most enquiries are one-off agronomic judgement calls, not lookups
Your product labels live as undated PDFs nobody owns
You want it to confirm withholding periods as current without an agronomist
Prior answers exist only in officers' heads, with nothing to index
Open questions

The worried-buyer questions, answered straight

It can draft a wrong withholding period — which is exactly why chemical-safety enquiries are escalated to an agronomist before anything is sent. In Australia the APVMA-registered product label is the legal source for grazing and harvest withholding periods, and they differ by product, use and market. The tool quotes the label section it drafted from and flags the item; the agronomist confirms the label is current and signs off. The tool surfaces the answer; the person stands behind it.
It works from your indexed library, so a draft is only as current as the document it quotes. If that folder holds a superseded product label, the tool will cite it confidently and be wrong. Getting your labels, permits and position statements into a dated, current, searchable library — and naming who keeps the labels current — is usually the first piece of work, and the piece that pays off across every answer after.
No. It takes the thirty recurring lookups off them — the withholding, label and stock questions answered from memory all day — so they spend their time on the genuinely novel queries and field advisory work. Chemical-safety answers still go to an agronomist to sign off. The advice stays theirs; the capacity it frees goes back into the work only they can do.
Current to the versions in force today. Product labels are reissued and permits lapse, and a position statement can be revised at any time — point the tool at a superseded label and it drafts a confidently wrong withholding period. The honest test: can you say, today, that each product label in the library is the version currently registered with the APVMA?
Member details, account history and enquiry content are your commercial and personal data under the Privacy Act. Any deployment runs against your own systems and document library, not a shared pool — we scope where the data sits and who can see it as part of the build. The demo here runs entirely on fabricated data; Dave Thompson and Thompson Bros are not real growers.
It drafts and routes them — a stock or delivery enquiry goes to the front counter or logistics with a drafted reply, a billing query to accounts — but a person still approves before it sends. The escalation rules are yours: which enquiry types a human signs off, and which must reach an agronomist. The tool gets the draft most of the way; the accountable person closes the gap.
What it takes to build
3–4 weeks · 4 phases
Reused from template~70%
Bespoke to this skin~30%
stack · Claude · retrieval (RAG) · Slack · review UI
What it would cost

Fixed scope, fixed price, fixed dates.

01
Bite-sized first piece
One contained change, low risk
02
Pilot build
Most builds land here
03
Embedded support
Scale on proof

Considering this for your grower body or retail team?

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

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