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Telecom AI agent · Retail frontline

Retail-Store Frontline Copilot AI Agent

Prompt store advisors from the terms your business has already published, attach the restrictions that qualify each claim, and stop at the point where the customer has to authorise anything billable.

Typical delivery
4–6 weeks
Deployment
Your stack
Advisor decides
Published terms
After launch
Agent Care

What this agent does

Prompts from the terms, not from a summary

In

  1. 01

    Price cards, promotion terms and broadband labels come from the systems that publish them.

  2. 02

    Field labels and formats are normalised, and each term keeps the published document it came from.

Reason

  1. 03

    Counter prompts are assembled — the offer, its material restrictions and the comparison the advisor reads out.

  2. 04

    Account and usage data enter a prompt only on the consent basis recorded for that customer.

  3. 05

    Quoted terms bind to the line on the published card they came from; anything absent is marked unquotable.

Decide

  1. 06

    Unlimited, free-device, lease and tier-comparison wording is flagged with the restrictions that must travel with it.

  2. 07

    Anything billable stops for the customer's own recorded authorisation, captured apart from the pitch.

Out

  1. 08

    The prompt, the terms it quoted, the restrictions shown and the advisor who used it are retained against the store record.

  2. 09

    Write actions run only inside the approval boundaries agreed during implementation.

Product statement

The copilot proposes the words; the advisor stays the seller of record, and the carrier answers for the sale.

Example workflow

One counter conversation, end to end

  1. 1Customer at the counterWalk-in enquiry, upgrade, activation or device trade-in
  2. 2Terms retrievedPublished price card, promotion terms, broadband label and eligibility conditions
  3. 3Prompt assembledThe offer, its restrictions and confidence
  4. 4Controls appliedCard-binding checks, restriction pairing, enjoined-claim flags and confidence threshold

No human action required

Stages 1 to 4 run unaided, and nothing is sold at any of them — the copilot is prompting, and the advisor's lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Goes to the advisor to read out.

Low confidence

Adds a store manager read first.

Advisor decision

The prompt is held with the terms it quoted, its restrictions and the confidence.

Use · Amend · Send to store manager

Read out — customer authorises

  1. 6Store systems updatedOnly where write access and approval policy allow it
  2. 7Outcome evaluatedTerm accuracy, restrictions shown, authorisation captured and post-sale complaints

Amendments

Every advisor amendment is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Recording the customer's authorisation to be billed.
    • Attaching a charge, add-on or line to an account.
    • Quoting a term that is not on the published card.
    • Standing in as the independent verifier of a sale.

  • Automation boundary

    Agent acts unaided

    • ✓Retrieve the published terms that apply to the offer in hand.
    • ✓Surface the broadband consumer label in its prescribed format.
    • ✓Assemble a comparison the advisor reads out, restrictions attached.
    • ✓Hold at the point of authorisation, and keep the prompt.

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

    • Deciding what a promotion's conditions actually are.
    • Judging whether a trade-in condition has been met.
    • Setting how prompts rank, and on what signal.
  • Changes to store rules, terms or approval thresholds.

Example output

One counter prompt, annotated

Everything the copilot puts in front of an advisor is attached to the term it came from.

Copilot output · single counter prompt

Illustrative example
Offer
Handset upgrade
Prompted line
Data allowance doubles for the promotional period on this plan
Stated price
$45.00 / month
Source of term
Published price card
Confidence
93%
Restrictions
Speed threshold and end date

As received

Taken from the published price card and the promotion terms — nothing on this side is worded by the copilot.

Published terms used

  • Price-card line
  • Promotion terms
  • Broadband label

Why this wording

It is the card's own sentence, carrying the threshold that qualifies it.

What the score decides

Below the configured threshold the prompt picks up a manager read before it reaches the advisor.

Action

UseAmendSend to store manager

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 counter conversation

From the published terms

03Prompting

Prompt from the card

Draw on the published price card, the promotion terms and the store rules configured for the retailer.

01Approved path

Prompt the advisor, not the sale

Routine offers arrive already worded, with their restrictions attached.

02Human review

Send the read to the risky prompts

Enjoined-claim flags and low-confidence prompts are marked, so the manager's read starts where risk concentrates.

04

Build an evidence trail

The prompt, the terms it quoted and the advisor who used it stay on the store record.

Integrations

Typical integrations

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

  • Product and pricing

    • Product catalogue
    • price cards
    • Promotion and offer engines

  • Point of sale

    • Retail POS
    • order capture
    • Activation and provisioning

  • Customer systems

    • CRM
    • account lookup
    • Billing and entitlements

Agent

Retail-store frontline copilot

  • Reads the terms
  • Prompts the advisor
  • Holds for authorisation

  • Store operations

    • Workforce
    • queue management
    • Trade-in and device grading

  • 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 counter

The controls are nested. What survives all of them appears in the map underneath.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modePull the copilot back to term lookup when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, term-set and store-rule configuration changes.Track
L4TraceabilityRecord the terms retrieved, the prompt, the restrictions shown and the advisor.Record
L3Advisor decisionHold prompts for a named advisor; it governs what is said, not whether the sale was right.Gate
L2Term guardrailsTest prompts against the published card and the store rules; a failure returns the prompt.Restrict
L1Confidence thresholdsRoute low-confidence prompts to a manager read before the advisor sees them.Require review
Model corePrompt produced — the offer, its restrictions, the comparison and confidence
L1 – L2
Test whether a prompt may stand
L3
Puts the decision in an advisor's hands
L4 – L5
Show what the prompt was drawn from
L6
Holds offers for the manager when signals degrade

How Nestack evaluates it

Evaluate the counter workflow — not only the sentence the advisor read.

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

Surface — the words the customer hears

  1. E1Final-output evaluationDid every quoted term match the published card it came from?
  2. E2Step-level evaluationDid the copilot use the right card, promotion terms and store rules?
  3. E3Tool evaluationDid it read the correct account and write to the correct order?
  4. E4Confidence calibrationDo low-confidence prompts actually attract more advisor amendments?
  5. E5Slice evaluationHow does performance change across specific offer types?
  6. E6Business outcomeHow many prompts needed an amendment or a correction after the sale?

Floor — the outcome the carrier answers for

Failure modes

Where each failure originates in the agent

Seven failure modes, placed at the stage each one begins.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • NX-03

      Superseded price card

      The prompt quotes terms the business has since replaced.

    Stage gathers

    Price cards, promotion terms, labels and store rules

  2. 02 · Reasoning

    2 modes

    • NX-04

      Restriction dropped

      A claim is prompted without the threshold that qualifies it.

    • NX-06

      Paraphrase for a term

      A published condition is restated in the copilot's own words.

    Stage proposes

    The wording the advisor is prompted with

  3. 03 · Tool / write

    2 modes

    • NX-02

      Charge before authorisation

      An add-on is prompted where no authorisation was recorded.

    • NX-05

      Authorisation inside the pitch

      Consent is captured on the same screen as the inducement.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • NX-01

      Comparison across unlike tiers

      Two dissimilar service tiers are set side by side.

    Stage returns

    The words the advisor reads to the customer

  5. 05 · Change / Version

    1 mode

    • NX-07

      Silent ranking regression

      A model or rule change lets commercial signals order the prompts.

    Stage tracks

    Model, prompt, term set and ranking config

  • Sev-1 · a charge attached without authorisation
  • Sev-2 · a wrong term reaches the customer
  • Sev-3 · terms degrade, prompt routes to review
See the complete Telecom failure-mode catalogue

Affected slices

Overall prompt quality can hide one offer type

Aggregate term accuracy reads acceptable across the estate, while free-device promotions carry most of the amendments on a thin share of conversations. Nestack reports the amendment rate by slice, not only in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Free-device promotions4.4%3.8×Review
Unlimited-plan comparisons3.3%2.9×Review
Device trade-in and lease offers2.3%2.0×Watch
Single-line SIM-only sales0.8%0.7×Normal

Bar: advisor-amendment lift vs. the SIM-only 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 case, not an apology

Explaining a bad sale does not close the cycle. A standing regression case does, and that suite is what the next counter conversation is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Advisor amendments rise in one offer type.

  2. 02

    Diagnose

    If the amendments cluster on one card, a store manager reads the prompts and the terms behind them until the cause narrows to one.

  3. 03

    Improve

    The fix is versioned against the prompts that produced it.

  4. 04

    Verify

    The release stops until every affected case is passing.

  5. 05

    Learn

    The case stays in the suite, and the store playbook is amended.

  6. Learn → Detect

    The return edge. Whatever is detected next is detected against a longer suite.

Typical build scope

Twelve workstreams across six weeks

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

Workstream

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

  1. 01Counter workflow discovery and automation-boundary definition.Week 1
  2. 02Point-of-sale and catalogue assessment.Week 1, Week 2
  3. 03Published-term, label and store-rule mapping per market.Week 1, Week 2
  4. 04Term ingestion and normalisation.Week 2
  5. 05Prompt assembly and card binding.Week 2, Week 3
  6. 06Confidence scoring and manager routing.Week 3
  7. 07Advisor decision workflow.Week 3, Week 4
  8. 08Point-of-sale and billing integration.Week 5
  9. 09Term-accuracy regression cases.Week 4, Week 5
  10. 10Guardrails and authorisation controls.Week 4
  11. 11Prompt-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 store, one marketProductionProduction store estateAdvancedMultiple regions / brands
Introduced at Pilot
Prompting from your published terms✓✓✓
Advisor decision✓✓✓
Prompt-accuracy baseline✓✓✓
Introduced at Production
Reporting by store and line—✓✓
Review workflow in your systems—✓✓
Approved write-back—✓✓
Point-of-sale integration—✓✓
Introduced at Advanced
Multi-market term and label rules——✓
Multi-stage store approvals——✓
High counter volume——✓
Multi-region store controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, counter 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 published price cards and promotion terms

    Term ingestion and card binding

    Week 1

  2. 02Representative counter conversations

    Prompting baseline, comparison assembly and term binding

    Week 2

  3. 03The claims your compliance team already refuses

    Enjoined-claim mapping and the automation boundary

    Week 1

  4. 04Access to relevant APIs, feeds or exports

    Point-of-sale, catalogue and billing assessment, then integration setup

    Week 2

  5. 05Prompts you would not want acted on

    Term cases and the evaluation suite

    Week 4

  6. 06Where a prompt must stop and wait for the customer

    Confidence scoring, manager routing, guardrails and authorisation controls

    Week 3

  7. 07Named store managers to release prompts

    Advisor decision 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 occupy the weeks the work really needs, so week 5 runs evaluation and launch side by side.

Phase

W1

W2

W3

W4

W5

W6

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

Week focus

W1Counter workflow discovery, term mapping and the automation boundary

W2Source integration and the prompting baseline

W3Prompting workflow, confidence logic and authorisation controls

W4Evaluation suite, enjoined-claim checks and failure-mode testing

W5Point-of-sale integration, a pilot store and targeted corrections

W6One trading period run under the store team, then handover

Reading the band
Each bar covers only the weeks its work is named in. The fifth week doubles because the work genuinely overlaps.
At the end of W6
The period closes validation and Agent Care picks up the monitoring.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Telecom AI agent

Build a retail copilot around the terms you already publish.

Start at the counter, with the sale as it actually runs. You bring the price cards, the promotion terms and whoever signs off what an advisor may say; we set the automation boundary.

Typical delivery
4–6 weeks
Deployment
Your store systems
Advisor decides
Published terms
After launch
Agent Care available

Nestack Agents · Retail frontline copilot

AGT-TL-06 · Agent Care available after launch

Build a retail copilot

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

About you
Your stores

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