NFAS Audit Evidence Hub | Real Minds AI
Feedlots /Document processing live field guide · 9 min

NFAS Audit Evidence Hub

Continuously assembles your NFAS accreditation evidence — SOPs, treatment and HGP records, CVDs and ration records, NLIS movements, environmental monitoring — into a time-stamped, audit-ready pack and flags the gaps against the Modules and Elements before the annual audit arrives.

theater/demos/feedlot_audit-evidence-assembler.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

Watches where the feedlot's records land year-round, resolves each NFAS Element to evidence-on-file or gap, and lays out a complete pack with every open gap owned and dated for the QA manager to close and sign off before AUS-MEAT arrives.

Input 01
The records, where they land

The Quality Manual and SOPs, chute-side treatment and HGP records, commodity vendor declarations and ration records, NLIS and eNVD movements, LPA currency, and environmental monitoring — saved where they normally are across the yard, mill, hospital pen and office.

Agent 02
Resolves each Element

Reads each record as it arrives, pulls the dates, batch numbers and declaration references, and resolves every NFAS Element across the five Modules to evidence-on-file or gap — tracking expiry on certifications and overdue periodic obligations like quarterly bore sampling.

Output 03
A pack, with its gaps owned

A time-stamped, cross-referenced evidence pack with each open gap raised to an owner with a due date, for the QA manager to close and sign off before the pack is submitted to the auditor.

Where it works well

It turns audit week from a fire drill into the review of a pack that was already complete.

  • Done by hand, audit week pulls the QA manager and half the office off the yard to hunt a year of evidence across multiple systems — and the periodic obligations are the first thing missed until the auditor counts them.
  • Best for a mid-sized NFAS-accredited feedlot where evidence is scattered across the yard, the mill, the hospital pen and the office, and grain-fed market eligibility depends on holding accreditation.
  • The recaptured days go back into running the yard and closing real gaps early — not into another fortnight of pre-audit document hunting.

The slow, invisible cost is the discovery: you only learn an Element is unevidenced when the auditor asks for it on the day, by which point the bore sample is months overdue and the CVD for a March grain load is gone. Watching the records land year-round moves that discovery weeks earlier, when it is still fixable.

Where it works badly

It is confidently complete when the source records are wrong — a tidy pack around a record that never should have passed.

  • It checks that a record exists and is current; it does not judge whether the record is correct. A filed-but-wrong CVD or an undated induction can read as on-file when it isn't audit-sound.
  • Weak where an Element needs interpretation — whether a treatment was administered to label, whether a welfare observation actually clears the standard — which is a judgement call, not a presence check. It should flag, not assume.
  • The Element-to-Module mapping is only as right as its encoding of the NFAS Standards; point it at a stale version of the Rules and Standards and it can mark an obligation met that the current standard no longer accepts.
The honest test

If you cannot say, looking at a green Element, which record evidences it and whether that record is actually correct — the gauge has made your readiness look better than your pack would survive under the auditor.

Mark an Element "evidence on file" off a treatment record with the wrong batch number, or a CVD that was filed but doesn't actually cover the grain it claims, and the readiness gauge reads green on evidence that wouldn't survive the auditor reading it. That is the trap.

What it doesn't do — and shouldn't

It assembles and flags. A person owns each gap and signs off. That boundary is deliberate.

WHAT IT DOES
Cross-references each document to the NFAS Module and Element it evidences
Surfaces overdue periodic obligations and expiring certifications before the audit
Raises every gap with an owner and a due date for a person to close
WHAT IT WON’T
Submit the evidence pack to the auditor on its own
Certify the feedlot as NFAS-compliant or pass the audit
Decide whether a flagged gap or a borderline record is acceptable

NFAS accreditation is mandatory for producing grain-fed beef for the domestic and export markets, and the feedlot is audited annually against the Rules and Standards by AUS-MEAT. A wrong or missing record can mean a non-conformance, a corrective-action notice, or — at the extreme — eligibility to sell into the grain-fed market. The accountable person stays on the decision because the consequence lands on the feedlot, not the tool.

What your data has to look like

Records that land somewhere the tool can read, and a current encoding of the NFAS Standards to resolve them against.

32%
Typical readiness
across orgs we see, before the first job
Records saved to known, watchable locations
Needs shaping
Dates and identifiers legible per record
Usual weak point
The NFAS Modules and Elements, encoded current
Needs shaping
Periodic-obligation schedule
Usual weak point
A nominated owner per record area
Needs shaping
The real first job

The weak point is almost never the AI layer — it is that records land in inconsistent places, half in systems and half on paper, with no schedule of which periodic obligations are due when. Getting the record sources into watchable form and the NFAS Standards encoded current is usually the real first job — larger and more valuable than the assembly layer on top. Once the sources are clean, every audit cycle after that is a review, not a hunt.

Right fit if…
You hold NFAS accreditation and carry the annual AUS-MEAT audit
Evidence is scattered across the yard, mill, hospital pen and office in multiple systems
Records already land in shared drives or document systems a tool can watch
Grain-fed market eligibility depends on continuous accreditation
Walk away if…
Your records live mostly on paper that never reaches a watchable system
You have no current encoding of the NFAS Modules and Elements to map against
Nobody owns the periodic obligations, so overdue and missing look the same
You want a tool that certifies compliance or passes the audit for you
Open questions

The worried-buyer questions, answered straight

Yes — which is exactly why nothing is submitted on its say-so. It checks that a record exists and is current and cross-references it to the NFAS Module and Element, but it does not judge whether the record itself is correct. A filed-but-wrong commodity vendor declaration or an undated induction can read as on-file. The QA manager reviews each Element against the actual record before the pack goes to the AUS-MEAT auditor. The tool assembles the evidence; the person stands behind it.
It works from what it can watch. Records landing in shared drives or document systems it can monitor get extracted and resolved against the NFAS Elements; a treatment log left on paper in the mill office it simply can’t see, so that Element stays a gap until the record reaches a watchable place. Getting the record sources into consistent, watchable form is usually the first piece of work — and the piece that pays off across every audit cycle after.
No. It removes the year-of-evidence hunt across the yard, the mill and the office, so the QA manager spends their time on the judgement — whether a record is actually audit-sound, whether a flagged gap matters, how to close it before the auditor arrives. The pack stays theirs to sign off and front to AUS-MEAT. The capacity it frees goes back into running the yard, not into a pre-audit document hunt.
Current to the NFAS Rules and Standards in force and to your real periodic obligations. The Standards are revised, and obligations like quarterly groundwater sampling or certification renewals recur on a clock — point the tool at a stale encoding and it can mark an Element met that the current standard no longer accepts, or miss an obligation that has since come due. The honest test: do you know the encoding behind a green Element matches the Standards your auditor will use?
Treatment records, CVDs, NLIS movements and environmental monitoring are your operational and accreditation records — they can be called on in the annual audit and an investigation. Any deployment runs against your own systems and data handling, not a shared pool; we scope where the records sit and who can see them as part of the build. The demo here runs entirely on fabricated data — the bore IDs, load numbers and staff names are invented.
No. It assembles a complete, cross-referenced pack and flags the gaps, but it does not certify compliance or pass the audit. NFAS is audited annually by AUS-MEAT against the Rules and Standards, and the judgement on whether a record is sound and a gap is closed is a person’s. The tool gets the pack most of the way and surfaces what’s missing; the accountable person closes the gaps and fronts the auditor.
What it takes to build
3–5 weeks · 4 phases
Reused from template~65%
Bespoke to this skin~35%
stack · Claude · Power Platform · SharePoint · document retrieval
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 feedlot?

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

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