Recall Pack Assembler | Real Minds AI
Food & BeverageDocument processing

Recall Pack Assembler

Assembles a lot's genealogy — receiving, production, and shipment records — into a traceability pack on demand, listing the records and fields that are missing, so a mock recall or audit takes minutes instead of a folder hunt. A person verifies before anything is sent.

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

A mock recall or unannounced audit triggers a frantic search through binders, spreadsheets, and inboxes to reconstruct where a lot came from and where it went. The records exist; they are just scattered, so retrieval is slow and brittle — exactly when a regulator expects traceability information within tight, agreed timeframes.

This pattern maps receiving, production, transformation, and shipment records to each lot, and on demand assembles a one-click traceability chronology — surfacing the missing records and incomplete fields up front rather than mid-drill. It drafts the pack; a named person reviews and verifies it before it leaves the building.

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

Estimated build: 4–6 weeks. Most of it is template work we've already done.

Estimated build time
4–6weeks
Diagnostic · build · soft launch · review.
Reused from template
~70%
Agent shell · retrieval · audit · deployment.
Bespoke to this skin
~30%
Lot-record ingest, traceability field mapping.
stack · Microsoft 365 · private RAG · document generator · 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.

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