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Food & Beverage AI agent · Traceability

Supply-Chain Traceability AI Agent

Link the key data elements your systems already capture to the events that trigger them, hold the file with its gaps marked, and let a named person decide whether it goes out.

Typical delivery
4–6 weeks
Deployment
Your stack
Person releases
Rule in force
After launch
Agent Care

What this agent does

Holds the links, never the release

In

  1. 01

    Ingest receiving, shipping and transformation events from supported ERP, WMS or partner sources.

  2. 02

    Normalise lot codes, units and dates, and carry each element with the system it came from.

Reason

  1. 03

    Link the key data elements to the critical tracking event that requires them.

  2. 04

    Apply the section mapping, the list scope and the retention rules configured for the site.

  3. 05

    Test each event for the elements it needs, and mark what the records leave absent.

Decide

  1. 06

    Flag links a record does not support, and elements a person keyed rather than a system.

  2. 07

    Route the assembled file to the named person who decides whether it goes out.

Out

  1. 08

    Retain the events, the elements, the corrections and the release for the retention period.

  2. 09

    Execute write actions only inside the approval boundaries agreed during implementation.

Product statement

The agent links what the records already say; a named person releases the file, and the firm answers for what the pallet actually was.

Example workflow

One lot, event to file

  1. 1Events receivedReceiving, shipping and transformation events from plant and partner systems
  2. 2Elements assembledLot code, quantity, location and date, each with the system it came from
  3. 3File preparedLinked events, gaps, flags and confidence
  4. 4Controls appliedElement checks against the section that governs each event, list-scope checks, held-act checks and confidence threshold

No human action required

Stages 1 to 4 run unaided, and nothing leaves the building at any of them — the agent is linking, and the release lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Goes to the quality lead to release.

Low confidence

Adds a traceability-owner read first.

Named-person release

The file is held with its linked events, its open gaps and the confidence.

Approve · Correct · Send to traceability review

Approved — the file goes out

  1. 6Lot and ERP systems updatedOnly where write access and approval policy allow it
  2. 7Outcome evaluatedReviewer corrections, gap outcomes, broken links and questions raised after the file went out

Corrections

Every reviewer correction is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Releasing the records file that goes out to FDA.
    • Deciding which lots an investigation implicates.
    • Standing as the plan's named point of contact.
    • Authoring the traceability plan or the farm map.

  • Automation boundary

    Agent acts unaided

    • ✓Capture the key data elements at each critical tracking event.
    • ✓Carry every element forward with the system it came from.
    • ✓Test each link against what that section actually requires for the named owner.
    • ✓Assemble the sortable file, and hold it for a named person.

    Any write happens inside the boundaries agreed at implementation, never ahead of the release.

    • Deciding a food sits outside the traceability list.
    • Warranting what a pallet physically contained.
    • Changing a traceability lot code once assigned.
  • Changes to the plan, list scope or retention rules.

Example output

One tracking event, annotated

Everything the agent links is attached to the record it was read from.

Trace-file output · single event

Illustrative example
Event
Receiving event
Element as captured
Leafy greens received and linked to the inbound shipping event
Quantity
24 cases
Traceability lot code
Assigned by the initial packer
Confidence
93%
Where it came from
Supplier notice, keyed at the dock

As received

Taken from the receiving record and the supplier's advance notice — nothing here is written by the agent.

Source records used

  • Receiving record
  • Supplier notice
  • Lot-code assignment

Why it stops here

A link is only as good as the pallet it describes and a person still decides.

What the score decides

Below the configured threshold the file picks up a traceability read first.

Action

ApproveCorrectSend to traceability review

Value

Where AI adds value

The same four claims, placed at the point in the workflow where each one applies.

Where the value lands

Value 01 – 04

Every event

From the systems of record

03Linking

Link from the records

Draw on the lot codes, the event records and the trading-partner data the site already holds.

01Approved path

Hold the links, not the story

Routine receiving and shipping events arrive linked, sourced and checked for gaps.

02Human review

Send the reviewer to the weak links

If a file went out with a wrong lot on it, the trail shows which element came from where and who released it.

04

Build an evidence trail

The event, the data elements captured with it and the person who released the file stay together.

Integrations

Typical integrations

Five system groups connect to the same agent. Which of them are in scope is decided in discovery.

  • ERP and lot systems

    • SAP
    • Infor
    • NetSuite
    • Batch and lot masters

  • Warehouse and inventory

    • Manhattan
    • Blue Yonder
    • WMS
    • case and pallet scanning

  • Trading-partner data

    • EDI
    • advance shipping notices
    • GS1 barcodes
    • supplier portals

Agent

Traceability linking

  • Reads the events
  • Links the elements
  • Holds for release

  • Documents and records

    • Document capture
    • e-forms
    • Record archives
    • retention sets

  • Observability & evaluation

    • OpenTelemetry
    • Langfuse
    • Supported monitoring/evaluation sources

Integration availability depends on the client's existing systems and API access.

Agent controls

Six layers between the model and the file

The layers nest. What each one misses is named in the map below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeFall back to record retrieval when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, section-mapping and list-scope changes.Track
L4Event trailRecord the source systems, the elements, the gaps and the release.Record
L3Named releaseHold the file for a named person; the hold governs whether it goes out, not whether the links are true.Gate
L2Scope guardrailsTest the file against the elements each section requires and the held-act list; a failure returns the file. A notice on screen is not tested; the section map is.Restrict
L1Confidence thresholdsRoute low-confidence files to a traceability read before release.Require review
Model coreFile prepared — linked events, open gaps, flagged elements and confidence
L1 – L2
Test whether a file may stand
L3
Puts the release in a person's hands
L4 – L5
Keep the event and the elements behind it
L6
Reverts to record retrieval when signals degrade

How Nestack evaluates it

Evaluate the linking workflow — not only the file that went out.

Coverage runs the whole depth of the workflow, and every layer is cut by slice.

Surface — the file the investigator reads

  1. E1Final-output evaluationDid every linked element match the record it was read from?
  2. E2Step-level evaluationDid the agent use the right lot code, event and section mapping?
  3. E3Tool evaluationDid it read and write the correct event and the correct field?
  4. E4Confidence calibrationDo low-confidence files actually attract more reviewer corrections?
  5. E5Slice evaluationHow does performance change across specific event types?
  6. E6Business outcomeHow many files needed a correction, or a question after they went out?

Floor — the trace the firm answers for

Failure modes

Where each failure originates in the agent

Seven ways a trace breaks, placed by stage.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • BH-03

      Superseded event read

      An element is taken from a record that was later corrected.

    Stage gathers

    Event records, lot codes, partner data and list scope

  2. 02 · Reasoning

    2 modes

    • BH-04

      Position stated wrongly

      The rule is described as extended when only enforcement funding is barred.

    • BH-06

      Link asserted, not evidenced

      A lot is connected to an event no record actually supports.

    Stage proposes

    Linked events, flagged elements and confidence

  3. 03 · Tool / write

    2 modes

    • BH-02

      File released early

      A file goes out with flagged elements still unresolved.

    • BH-05

      Duplicate lot code

      The same lot is linked to two codes and both survive.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • BH-01

      Element missing, unflagged

      A required element is absent and no gap is raised.

    Stage returns

    The sortable file a named person releases

  5. 05 · Change / Version

    1 mode

    • BH-07

      Silent scope regression

      A list or mapping change widens what the agent will assert.

    Stage tracks

    Model, prompt, section mapping and list version

  • Sev-1 · a file leaves without release
  • Sev-2 · a wrong link reaches the file
  • Sev-3 · source degrades, file routes to review
See the complete Food & Beverage failure-mode catalogue

Affected slices

Overall completeness can hide one partner

Transformation is the slice that goes quiet: inbound lots become an outbound one and the link is rebuilt by hand, so the headline stays flat while that cohort carries the rework. Nestack reports it by slice.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Transformation events7.6%3.3×Review
Commingled inbound lots6.2%2.7×Review
Partner-supplied elements3.4%1.5×Watch
Single-lot receiving events2.1%0.9×Normal

Bar: element-correction-rate lift vs. single-lot-receiving baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

A cycle ends in a standing test

A cycle is done when the miss has become a test the next release has to survive. That suite is what the next trace request answered is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Element-correction rate rises in an event slice.

  2. 02

    Diagnose

    Read the files and the event records beneath them together until the cause narrows to one.

  3. 03

    Improve

    Version-stamp the change and attach the traces that exposed it.

  4. 04

    Verify

    The affected cases run again, and a fail stops the release.

  5. 05

    Learn

    It becomes a standing test, and the traceability plan changes with it.

  6. Learn → Detect

    The return edge. The suite the next file meets has one more case in it.

Typical build scope

Twelve workstreams across six weeks

The build scope read against the delivery timeline. Week structure follows the six-week plan — discovery, sources, linking workflow, evaluation, integration, then production validation and handover.

Workstream

Week 1Week 2Week 3Week 4Week 5Week 6

  1. 01Trace workflow discovery and boundary definition with your quality team.Week 1
  2. 02ERP, WMS and partner source assessment.Week 1, Week 2
  3. 03Event, element and lot-code mapping to each section.Week 1, Week 2
  4. 04Event ingestion and normalisation.Week 2
  5. 05Link assembly and element binding.Week 2, Week 3
  6. 06Confidence scoring and gap routing.Week 3
  7. 07Named-person release workflow.Week 3, Week 4
  8. 08ERP and lot-system integration.Week 5
  9. 09Link-integrity and clock cases.Week 4, Week 5
  10. 10Guardrails and release controls.Week 4
  11. 11Event-trail instrumentation.Week 5, Week 6
  12. 12Deployment, documentation and Agent Care handover.Week 6

12 workstreams · 6 weeks · bar shows the weeks a workstream is active — several run in parallel

Final scope and sequence confirmed in discovery

Engagement tiers

What each tier includes

Rows are the capabilities named in each tier's scope. Higher tiers include everything below them.

Capability✓ in scope · — not at this tierPilotOne site, one product familyProductionProduction lot systemsAdvancedMultiple sites / partners
Introduced at Pilot
Linking to your events and records✓✓✓
Named-person release✓✓✓
Trace-completeness baseline✓✓✓
Introduced at Production
Reporting by product and lot—✓✓
Release workflow in your systems—✓✓
Approved write-back—✓✓
ERP and lot-system integration—✓✓
Introduced at Advanced
Multi-partner element rules——✓
Multi-stage quality approvals——✓
High event volume——✓
Multi-site trace controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, event volume, approval controls and deployment requirements.
Separate from build
Build pricing is separate from recurring Agent Care, which covers managed monitoring, evaluations, incidents and verified improvements after launch.

What we need from you

What you bring, and what we build with it

Each input maps to a piece of build scope and a week in the delivery timeline.

  1. 01Your event records and the fields each one carries

    Event ingestion and field mapping

    Week 1

  2. 02Representative traces you have already run

    Linking baseline, lot-code extraction and element binding

    Week 2

  3. 03Your lot-code scheme and partner data feeds

    Event, element and lot-code mapping to each section

    Week 1

  4. 04Access to relevant APIs, feeds or exports

    ERP, WMS and partner assessment, then integration setup

    Week 2

  5. 05Traces you would not want relied on

    Integrity cases and the evaluation suite

    Week 4

  6. 06What must reach a person before a trace goes out

    Confidence scoring, gap routing, guardrails and release controls

    Week 3

  7. 07The named point of contact on your plan

    Release workflow, then pilot and production validation

    Weeks 5–6

Nothing else is required

Deployment, documentation and Agent Care handover are ours.

Delivery timeline

Four phases across six weeks

Phases are drawn over the weeks they actually occupy, which is why week 5 doubles up rather than padding.

Phase

W1

W2

W3

W4

W5

W6

  1. DiscoveryW1
  2. BuildW2 – W3
  3. EvaluateW4 – W5
  4. Pilot & LaunchW5 – W6

Week focus

W1Trace workflow discovery, section mapping and the automation boundary

W2Source integration and the linking baseline

W3Linking workflow, confidence logic and release controls

W4Evaluation suite, held-act guardrails and failure-mode testing

W5Lot-system integration, pilot traces and targeted corrections

W6One trace exercise run under the quality team, then handover

Reading the band
A bar spans the weeks its work is actually named in, and the fifth carries two kinds of it.
At the end of W6
The last checks clear on a live exercise and monitoring moves to Agent Care.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Food & Beverage AI agent

Build a traceability agent around the links your records already carry.

The rule is in force. FDA proposed an extension it never finalised, and Congress suspended only federal enforcement funding — buyer contracts and state action are untouched. Bring your lot codes, partner feeds and the named contact on your plan.

Typical delivery
4–6 weeks
Deployment
Your lot data
Person releases
Rule in force
After launch
Agent Care available

Nestack Agents · Traceability

AGT-FB-02 · Agent Care available after launch

Build a traceability agent

Four questions so the call starts from your actual setup — then pick a time that suits you.

About you
Your traces

No obligation. We’ll map the workflow, name the automation boundary and tell you if an agent is the wrong answer.