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Industries / Travel & Hospitality / Voice contact-centre agent

Travel & Hospitality AI agent · Voice

Voice & Contact-Centre AI Agent

Take guest calls with all-party consent captured before audio reaches a model, disclose the automation on the first turn, and keep a person one utterance away in each language answered.

4–6 weeksTypical delivery
Your stackDeployment
All-partyHuman handover
Agent CareAfter launch

What this agent does

Consent first, then the conversation

In
01

Capturing all-party consent at the top of the call, before audio reaches any model at all.

02

Disclosing on the first turn that the caller is speaking with an automated system, not a person.

Reason
03

Answering the question 'am I talking to a robot?' truthfully, in the same turn it is asked in.

04

Routing audio only to models with no path to shared training, as a tested and evidenced control.

05

Detecting the language spoken, and handing to a person where it is one the suite has not covered.

Decide
06

Holding relay, TTY and long-silence calls for a person rather than timing the caller out.

07

Escalating to a named colleague in one utterance, in each language the agent answers in.

Out
08

Retaining the call, the disclosure, the consent state and the words actually spoken.

09

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

Product statement

The agent handles the call; a named colleague takes over on request, and the operator owns every word the agent said.

Example workflow

One call, consent to handover

AgentHuman
1Call receivedReservations line, property switchboard, service number or a callback
2Consent and context assembledConsent state, disclosure given, language detected and the booking or stay on file
3Answer spokenSpoken answer, its source, confidence
4Controls appliedConsent checks, disclosure checks per market, language-coverage checks and confidence threshold
No human action required

Stages 1 to 4 run unaided, and nothing is committed at any of them — the agent is answering, and the colleague's lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Stays with the agent, handover one word away.

Low confidence

Hands to a colleague on the floor.

Colleague takes over

The call is passed with its transcript, its flagged lines and the confidence.

Take over · Coach · Escalate to the floor lead
Handled — the caller has an answer
6Contact systems updatedOnly where write access and approval policy allow it
7Outcome evaluatedHandover rate, flagged-line outcomes, language coverage and post-call corrections
Handovers

Every colleague handover is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required8 items
Recording a call before consent has been captured.
Continuing in a language the suite does not cover.
Telling a caller it is a person when it is asked.
Placing an outbound call without prior consent.
Automation boundaryAgent acts unaided
Capture consent and disclose the automation on.
Answer from the booking or stay record, and name that record.
Detect the language and say which ones have been evaluated.
Flag what a person must weigh, and pass the call to them.
Any write happens inside the boundaries agreed at implementation, never ahead of approval.
Deciding that a relay or a TTY call may be dropped.
Settling a complaint, a refund or a goodwill waiver.
Sending guest audio anywhere it may train a model.
Changes to consent, retention or language rules.

Example output

One call, annotated

Everything the agent says on a call is attached to the consent and the record behind it.

Voice output · single callIllustrative example
Call
Spoken line
Time to a person
Source of record
Confidence
Attribution
Inbound, Spanish
Confirmed the arrival date held on the booking, then offered a colleague
22 sec
Booking record on file
87%
Property and automated system
As receivedTaken from the consent state and the booking record on file — nothing on this side is written by the agent.
Records used All-party consent state Booking record on file Evaluated language set
Why this wordingIt says which record the date came from, and offers a person rather than improvising.
ActionTake overCoachEscalate to the floor lead
What the score decidesBelow the configured threshold the call is passed to a colleague before the answer is spoken.

Value

Where AI adds value

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

Where the value landsValue 01 – 04
Every callFrom the consent state
03Answering

Answer from the record

Draw on the booking or stay on file, your approved answers, and the disclosure each market you dial into requires.

01Approved path

Disclose it before you record

Routine calls are handled with the disclosure given and the consent already captured.

02Human review

Send handover to the hard calls

Relay calls, unevaluated languages and low-confidence turns go to a colleague — disability access and language access are different duties, and neither stands in for the other.

04Build an evidence trail

The call, the disclosure and consent recorded for it and the person who took over stay together.

Integrations

Typical integrations

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

Contact platformsGenesys · NICE
Five9 · Amazon Connect
TelephonyTwilio · SIP trunks
Session border controllers
Reservations and propertyAmadeus · Sabre
Opera Cloud · Mews

Agent

Voice & contact centre

Captures consent
Answers the call
Hands to a person

Recording and QAVerint · Calabrio
Call-recording archives
Observability & evaluationOpenTelemetry · 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 caller

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

L6 · Outermost — last line of defenceInward → L1 · closest to the model
L6Rollback / safe modeHold calls for a person when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, consent-rule and language-configuration changes.Track
L4TraceabilityRecord the consent, the disclosure, the transcript, the flags and the handover time.Record
L3Colleague handoverPass the call to a named colleague; it governs who speaks, not whether what was said is right.Gate
L2Policy guardrailsTest turns against configured consent, disclosure and audio-routing rules; a failure hands the call to a person.Restrict
L1Confidence thresholdsRoute low-confidence turns to a colleague before the agent speaks them.Require review
Model coreTurn produced — the spoken answer, its source, flagged lines and confidence
L1 – L2Test whether a turn may be spoken
L3Puts the call in a colleague's hands
L4 – L5Show the call and the consent recorded for it
L6Holds the call for a person when signals degrade

How Nestack evaluates it

Evaluate the calling workflow — not only the sentence at the end of it.

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

Surface — the answer the caller hears
Depth of coverage ▼
E1Final-output evaluationWas the answer right, and right in the language it was spoken in?
E2Step-level evaluationDid the agent take consent, disclose, and route audio only where permitted?
E3Tool evaluationDid it read and write the correct booking and the correct field?
E4Confidence calibrationDo low-confidence turns actually attract more colleague handovers?
E5Slice evaluationHow does performance change across specific languages and call types?
E6Business outcomeHow many calls needed a handover or a correction after they ended?
Floor — the call the operator answers for

Failure modes

Where each failure originates in the agent

Seven ways a call goes wrong, set at its own stage.

Agent lifecycleDirection of processing →
01 · Retrieval1 mode
CJ-03

Consent state unread

A call proceeds before the consent state has been resolved.

Stage gathersConsent, disclosure, language and the booking
02 · Reasoning2 modes
CJ-04

Translated claim drifts

A rate or a rule changes meaning in translation.

CJ-06

Human identity implied

The agent lets a caller believe a person is speaking.

Stage proposesThe turn the caller hears and relies on
03 · Tool / write2 modes
CJ-02

Relay call timed out

Silence tuning drops a relay or a TTY caller.

CJ-05

Audio on a shared path

Call audio reaches a route that could train a model.

Stage writesOnly where write access and approval policy allow it
04 · Output1 mode
CJ-01

Disclosure not given

The first turn passes without the automation being named.

Stage returnsThe words the caller hears and acts on
05 · Change / Version1 mode
CJ-07

Silent language regression

A model or rule change widens which languages the agent answers.

Stage tracksModel, prompt, consent rules and language config
Sev-1 · audio taken without consent Sev-2 · a wrong answer reaches a caller Sev-3 · language degrades, call to a person

Affected slices

One language can carry the whole rate

Break the call-quality figure down before you trust it. Split it by language, by consent state and by how the caller reached the line The cohorts that carry it are named, not averaged away..

Slice performance — reported separately, not only in aggregateIllustrative example
SliceFailure rateLift Lift vs. thresholdStatus
Relay and TTY calls5.1%3.9× Review
Unevaluated languages2.9%2.2× Review
Code-switched speech2.2%1.7× Watch
Plain English enquiries0.8%0.6× Normal
Bar: colleague-handover-rate lift vs. plain-English baseline · scale 0–4.0× · tick marks the 2.0× review threshold 2 of 4 slices over threshold

Evidence-linked improvement

The cycle ends in a standing test

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

Improvement cycle · five stagesSwitchback — the path turns at Improve and returns at Learn
01Detect

Colleague-handover rate rises in a call slice.

02Diagnose

Within the same shift, the recordings, the transcripts and the consent states behind them are read until the cause narrows to one.

03Improve

The fix is versioned against the calls that produced it.

04Verify

The release stops until every affected case is passing.

05Learn

The case stays in the suite, and the calling rules are amended.

Learn → DetectThe return edge. The following cycle begins 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, sources, calling workflow, evaluation, integration, then production validation and handover.

Workstream Week 1Week 2Week 3Week 4Week 5Week 6
01Call handling workflow discovery and boundary setting.
02Contact-platform and telephony assessment.
03Consent, disclosure and language-coverage rule mapping.
04Call ingestion and consent capture.
05Answering logic and record binding.
06Confidence scoring and handover routing.
07Colleague handover workflow.
08Contact-platform and telephony integration.
09Disclosure and language cases.
10Guardrails and consent controls.
11Call-trail instrumentation.
12Deployment, documentation and Agent Care handover.
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 tier PilotOne line, one language ProductionProduction contact platforms AdvancedMultiple markets / languages
Introduced at Pilot
Answering from your records
Colleague handover
Call-quality baseline
Introduced at Production
Reporting by language
Approval workflow in your systems
Approved write-back
Contact-platform integration
Introduced at Advanced
Multi-market consent rules
Multi-stage floor approvals
High call volume
Multi-market calling controls
Build price From $5,000 From $8,000 Custom quote
Final build priceConfirmed after discovery based on integrations, workflow complexity, transaction volume, approval controls and deployment requirements.
Separate from buildBuild 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.

You bringWe build with it
01Your consent posture and recording policy Call ingestion and consent-state captureWeek 1
02Calls you have already handled Answering baseline, language scoping and record bindingWeek 2
03The languages you need, and who covers the rest Consent, disclosure and language-coverage rule mappingWeek 1
04Access to relevant APIs, feeds or exports Contact, telephony and property assessment, then integration setupWeek 2
05Calls you would not want replayed Language cases and the evaluation suiteWeek 4
06What audio may never be used for Confidence scoring, handover routing, guardrails and consent controlsWeek 3
07Named colleagues to take handed-over calls Handover workflow, then pilot and production validationWeeks 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 W1W2W3W4W5W6
Discovery W1
Build W2 – W3
Evaluate W4 – W5
Pilot & Launch W5 – W6
Week focus W1Call workflow discovery, consent mapping and the automation boundary W2Source integration and the answering baseline W3Calling workflow, confidence logic and handover controls W4Language cases, consent guardrails and failure-mode testing W5Contact-platform integration, pilot calls and targeted corrections W6One contact period run under the centre team, then handover
Reading the bandThe bars follow real work rather than a plan, which is why week 5 carries two kinds rather than padding.
At the end of W6The period closes validation and Agent Care picks up the monitoring.
DurationSix-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Travel & Hospitality AI agent

Build a voice agent around consent, architecture and the person behind it.

A court let eavesdropping claims run against a cloud contact-centre AI because it could use call audio to improve a model, with nothing alleged about whether it ever did. So bring what a contract cannot supply: a diagram of where the audio actually goes, the states your callers dial from, and the languages you would stand behind. California's bot statute reaches only what happens online; Maine's reaches a voice, and the European transparency duty is in force now.

Nestack Agents · Voice contact centreAGT-TH-06 · Agent Care available after launch