From a suspect ingredient to a review-ready recall map in minutes.
A food-manufacturing SME receives a supplier alert about a potentially unsafe ingredient. Quality staff must identify every affected batch, label, shipment and customer while production records, certificates and dispatch data sit across paper files, spreadsheets, email and business systems.
Australian evidence: FSANZ coordinated 92 Australian food recalls in 2025 and 866 over the decade to 31 December 2025. Undeclared allergens remained the leading cause, accounting for 35 recalls in 2025. Australian food manufacturers, importers and wholesale suppliers must maintain a written food recall plan. View the FSANZ recall statistics
Business friction
Traceability becomes a high-pressure search across disconnected records.
- Supplier lot numbers do not map cleanly to production and finished-goods batches
- Quality teams manually reconcile certificates, labels, dispatch records and customer lists
- Missing evidence slows containment, notification and mock-recall testing
Agentic AI response
A controlled traceability agent assembles the evidence for authorised review.
- Link supplier lots to production batches, finished goods, shipments and customers
- Flag missing records, conflicting identifiers and possible allergen or label mismatches
- Prepare a source-linked traceability pack, task list and draft notifications
Human & food-safety control
AI organises evidence—qualified people make every safety decision.
- Never allow AI to decide whether a recall is required or what product is safe
- Require QA approval for affected-batch scope and all regulator or customer communications
- Preserve source records, uncertainty, approvals and overrides in a complete audit trail
Measures that prove value
Time to traceRecord completenessMock-recall completionSupplier-document chasingFalse matchesHuman overrides