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Food & Beverage AI agent · Customer support

Customer-Support AI Agent

Answer consumer questions from the label version on the pack in front of them, reproduce what it declares rather than summarising it, and route the allergen question to a trained person.

Typical delivery
4–6 weeks
Deployment
Your stack
Label version
Allergen held
After launch
Agent Care

What this agent does

Shows the label, never the safety call

In

  1. 01

    Ingesting the consumer question and the product identifier from supported service, email or chat channels.

  2. 02

    Resolving the pack in hand to a label version, and refusing the question when the version will not resolve.

Reason

  1. 03

    Reading both declaration mechanisms, the ingredient list and any Contains statement, rather than one.

  2. 04

    Preserving species detail, so a named nut, fish or shellfish is not reduced to a category.

  3. 05

    Reproducing the declaration as printed, advisory line included, instead of summarising it.

Decide

  1. 06

    Flagging questions that turn on cross-contact, medical need, or a formulation the label predates.

  2. 07

    Routing the allergen question to a trained adviser, and confirming the handover completed.

Out

  1. 08

    Retaining the contact, the label version quoted and the adviser's answer for the retention period.

  2. 09

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

Product statement

The agent shows what the label declares; a trained adviser answers the allergen question, and the brand answers for every word either of them sent.

Example workflow

One contact, question to answer

  1. 1Contact receivedConsumer question, product identifier and the channel it arrived on
  2. 2Label version resolvedLot code, pack size and market, each tied to the artwork version on file
  3. 3Answer assembledDeclared text, flags and confidence
  4. 4Controls appliedBoth-mechanism allergen checks, species checks, version-drift checks, held-act checks and confidence threshold

No human action required

Stages 1 to 4 run unaided, and no allergen answer is sent at any of them — the agent is assembling, and the adviser's lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Goes to the adviser to send.

Low confidence

Adds a quality read first.

Adviser handover

The answer is held with the label version, the flags and the confidence.

Send · Rewrite · Escalate to quality

Approved — the answer goes to the consumer

  1. 6Service records updatedOnly where write access and approval policy allow it
  2. 7Outcome evaluatedAdviser rewrites, flagged-question outcomes, version mismatches and complaints raised after the answer went out

Rewrites

Every adviser rewrite is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Telling a consumer a product is safe for them.
    • Judging cross-contact risk from a shared line.
    • Reading an advisory statement as an assurance.
    • Answering a medical question about an allergy.

  • Automation boundary

    Agent acts unaided

    • ✓Reproduce the declared text exactly as the pack prints it.
    • ✓Read both mechanisms, the ingredient list and the Contains line.
    • ✓Keep the species named, and the version the answer came from.
    • ✓Hand any allergen question straight to a trained adviser.

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

    • Confirming a reformulation before the label moves.
    • Deciding a complaint is not a reportable event.
    • Speaking for the brand in a recall notification.
  • Changes to escalation rules or product-data sources.

Example output

One allergen question, annotated

Everything the agent shows is taken from the label version the consumer is holding.

Support output · single contact

Illustrative example
Contact
Allergen question
Declared text shown
Ingredient list and Contains statement, reproduced as printed
Label version
Lot code on pack
Where it was read
Artwork version on file
Confidence
89%
What happens next
Handed to a trained adviser

As received

Taken from the artwork for that lot — nothing on this side is written or summarised by the agent.

Source records used

  • Artwork for the lot
  • Ingredient statement
  • Contains statement

Why it stops here

The label cannot speak to cross-contact and a person still decides.

What the score decides

Below the configured threshold the answer picks up a quality read first.

Action

SendRewriteEscalate to quality

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 contact

From the label version

03Answering

Answer from the label

Draw on the artwork, the ingredient statement and the product data configured for the market.

01Approved path

Read the label, not the memory

Routine ingredient and product questions arrive answered, sourced and version-stamped.

02Human review

Send the adviser the ones that matter

Allergen and cross-contact questions are handed over, so an adviser's time goes where the harm sits.

04

Build an evidence trail

The answer, the label version it came from and the adviser who took it over stay on the contact.

Integrations

Typical integrations

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

  • Service desk and channels

    • Zendesk
    • Salesforce Service
    • Email
    • chat
    • social inbox

  • Product and label data

    • Artwork and specification systems
    • Item master
    • lot records

  • Consumer records

    • CRM
    • complaint logs
    • Case history
    • retention sets

Agent

Consumer support

  • Reads the label
  • Assembles the answer
  • Hands to an adviser

  • Quality and complaints

    • Complaint intake
    • adverse events
    • Recall and hold notices

  • 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 consumer

Every layer wraps the next. What none of them catches is in the map below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeFall back to signposting when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, product-data and escalation-rule changes.Track
L4Contact trailRecord the label version, the text shown, the flags and the handover.Record
L3Adviser handoverHand allergen contacts to a trained adviser; the handover governs who answers, not whether the label is current.Gate
L2Answer guardrailsTest the answer against both declaration mechanisms and the held-act list; a failure returns the answer. Printed text is tested; the line the food ran on is not.Restrict
L1Confidence thresholdsRoute low-confidence answers to a quality read before they go out.Require review
Model coreAnswer assembled — declared text, label version, flagged questions and confidence
L1 – L2
Test whether an answer may stand
L3
Puts the reply in an adviser's hands
L4 – L5
Hold the answer and the label version behind it
L6
Falls back to signposting when signals degrade

How Nestack evaluates it

Evaluate the answering workflow — not only the reply that was sent.

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

Surface — the answer the consumer reads

  1. E1Final-output evaluationDid the text shown match the label version it was read from?
  2. E2Step-level evaluationDid the agent resolve the right pack, lot and market?
  3. E3Tool evaluationDid it read the correct artwork and the correct field?
  4. E4Confidence calibrationDo low-confidence answers actually attract more adviser rewrites?
  5. E5Slice evaluationHow does performance change across specific contact reasons?
  6. E6Business outcomeHow many answers needed a rewrite, or a correction after they went out?

Floor — the answer the brand answers for

Failure modes

Where each failure originates in the agent

Seven ways an answer goes wrong, placed by stage.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • BI-03

      Stale product record

      The answer is read from a spec the pack has moved past.

    Stage gathers

    Consumer question, product identifier, artwork and rules

  2. 02 · Reasoning

    2 modes

    • BI-04

      Contains line assumed

      An allergen declared only in the ingredient list is missed.

    • BI-06

      Category answer given

      A named nut, fish or shellfish is answered as a group.

    Stage proposes

    Declared text, flagged questions and confidence

  3. 03 · Tool / write

    2 modes

    • BI-02

      Answer sent early

      An allergen contact is answered before a person sees it.

    • BI-05

      Advisory read as clearance

      A may-contain line is treated as though it settled the question.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • BI-01

      Version drift unflagged

      The label quoted is not the label on the pack in hand.

    Stage returns

    The answer an adviser sends and the consumer relies on

  5. 05 · Change / Version

    1 mode

    • BI-07

      Silent rule regression

      A model or rule change widens what the agent will assert.

    Stage tracks

    Model, prompt, product data and escalation rules

  • Sev-1 · an allergen answer goes out
  • Sev-2 · a wrong label version is quoted
  • Sev-3 · source degrades, answer routes to review
See the complete Food & Beverage failure-mode catalogue

Affected slices

Overall accuracy can hide one bad cohort

The consumer under-counted in an aggregate is the one holding a pack that never printed a Contains line: a small share of contacts The cohorts that carry it are named, not averaged away..

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Allergen questions5.1%3.8×Review
Reformulated products3.0%2.2×Review
Packs with no Contains line2.2%1.6×Watch
Routine product questions1.1%0.8×Normal

Bar: adviser-rewrite-rate lift vs. routine-question 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 case

The loop shuts when the miss is a case in the suite, not when it has been explained. That suite is what the next consumer contact is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Adviser-rewrite rate rises in a contact slice.

  2. 02

    Diagnose

    The adviser who picked the contact up walks it back beside the label version quoted, until the cause narrows to one.

  3. 03

    Improve

    Whatever changes ships against a version, with the contacts that prompted it attached.

  4. 04

    Verify

    Nothing ships until the affected cases pass a second time.

  5. 05

    Learn

    The suite grows by one case; so does the allergen guardrail set.

  6. Learn → Detect

    The return edge. The next contact meets a suite one case longer.

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, answering workflow, evaluation, integration, then production validation and handover.

Workstream

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

  1. 01Contact workflow discovery and boundary definition with your quality team.Week 1
  2. 02Service, CRM and product-data assessment.Week 1, Week 2
  3. 03Label-version, market and escalation-rule mapping for each brand.Week 1, Week 2
  4. 04Contact ingestion and version resolution.Week 2
  5. 05Answer assembly and text binding.Week 2, Week 3
  6. 06Confidence scoring and handover routing.Week 3
  7. 07Adviser handover workflow.Week 3, Week 4
  8. 08Service-desk and product-data integration.Week 5
  9. 09Allergen-answer regression cases.Week 4, Week 5
  10. 10Guardrails and escalation controls.Week 4
  11. 11Contact-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 brand, one marketProductionProduction service deskAdvancedMultiple brands / markets
Introduced at Pilot
Answering from your label versions✓✓✓
Adviser handover✓✓✓
Answer-accuracy baseline✓✓✓
Introduced at Production
Reporting by contact reason—✓✓
Handover workflow in your systems—✓✓
Approved write-back—✓✓
Product-data integration—✓✓
Introduced at Advanced
Multi-market label rules——✓
Multi-stage quality approvals——✓
High contact volume——✓
Multi-brand support controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, contact 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 contact reasons and the channels they arrive on

    Contact ingestion and reason mapping

    Week 1

  2. 02Answers your advisers have already sent

    Answering baseline, label-text extraction and version binding

    Week 2

  3. 03Your product data and the label-version source

    Label-version, market and escalation-rule mapping

    Week 1

  4. 04Access to relevant APIs, feeds or exports

    Service, CRM and product-data assessment, then integration setup

    Week 2

  5. 05Answers you would not want relied on

    Allergen cases and failure-mode testing

    Week 4

  6. 06Where an answer must stop and wait for a person

    Confidence scoring, handover routing, guardrails and escalation controls

    Week 3

  7. 07Trained advisers to take the handovers

    Handover 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

The bands follow real work rather than a plan, so evaluation and pilot genuinely share the fifth week.

Phase

W1

W2

W3

W4

W5

W6

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

Week focus

W1Contact workflow discovery, escalation mapping and the automation boundary

W2Source integration and the answering baseline

W3Answering workflow, confidence logic and escalation controls

W4Evaluation suite, allergen guardrails and failure-mode testing

W5Service-desk integration, pilot contacts and targeted corrections

W6A live consumer queue answered under supervision, then Agent Care handover

Reading the band
A band covers the weeks its work is actually named in, and the fifth carries two of them.
At the end of W6
Once the queue validates, Agent Care owns the running agent.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Food & Beverage AI agent

Build a support agent that shows the label and hands the allergen question over.

Bring your product data, your label versions and the advisers who take the handovers. The cost of a wrong allergen answer is not a refund, which is why what we will put in writing is the control and not a resolution rate.

Typical delivery
4–6 weeks
Deployment
Your labels
Allergen held
Label version
After launch
Agent Care available

Nestack Agents · Consumer support

AGT-FB-03 · Agent Care available after launch

Build a support agent

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

About you
Your contacts

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