Travel & Hospitality AI agent · Reputation

Review-Response & Reputation AI Agent

Solicit reviews on one trigger applied without a score or sentiment screen, draft responses that disclose nothing the reviewer did not, and hold each one for the person who publishes it.

Typical delivery
4–6 weeks
Deployment
Your stack
Named publisher
Symmetric
After launch
Agent Care

What this agent does

A draft, and a person who publishes it

In

  1. 01

    Ingestion of the review, the platform's own reply rules and the stay it can be matched to.

  2. 02

    Normalisation of ratings, languages and platform fields, each carried with its own source.

Reason

  1. 03

    One solicitation trigger, applied to departing guests without a sentiment or score pre-screen.

  2. 04

    A drafted reply built from what the reviewer wrote, and from nothing the reviewer withheld.

  3. 05

    Flags on any factual assertion about a named guest, before a person reads a word of the draft.

Decide

  1. 06

    A human read of translated replies before they go out, since platforms reject unreadable output.

  2. 07

    A hold on publication for the named person whose account and signature carry the response.

Out

  1. 08

    Retention of the review, the draft, the flags, the edits and the words actually published.

  2. 09

    Execution of write actions only inside the approval boundaries agreed during implementation.

Product statement

The agent drafts a response; the named brand or property owner publishes it, and the business answers for every claim inside it.

Example workflow

One review, arrival to publication

  1. 1Review receivedPlatform feed, reputation tool, survey response or a direct submission
  2. 2Context assembledThe review text, the platform's response rules and the stay it can be matched to
  3. 3Response draftedDraft response, its flags, confidence
  4. 4Controls appliedDisclosure limits, assertion flags, translation review and confidence threshold

No human action required

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

5DecisionBranches at the confidence threshold
High confidence

Goes to the named owner to publish.

Low confidence

Adds a brand-team read first.

Owner publishes

The draft is held with the review, its flagged lines and the confidence.

Publish · Edit · Send to brand review

Published — under a person's name

  1. 6Reputation systems updatedOnly where write access and approval policy allow it
  2. 7Outcome evaluatedEdit distance, flagged-line outcomes, platform acceptance and post-publication removals

Edits

Every owner edit is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Publishing a response to a review on any platform.
    • Asserting anything factual about a named guest.
    • Confirming that a reviewer stayed at the hotel.
    • Deciding which guests are asked to leave a review.
  • Automation boundary

    Agent acts unaided

    • ✓Draft a reply from the review text and the platform's rules.
    • ✓Ask on the same trigger, with any incentive free of sentiment.
    • ✓Mark every insider relationship the guides require to be shown.
    • ✓Flag what a person must weigh, and hold the draft for them.

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

    • Filtering the property's own on-site review display.
    • Writing anything to be posted under a guest's name.
    • Threatening a reviewer, or demanding a removal.
  • Changes to solicitation, disclosure or response rules.

Example output

One response, annotated

Everything the agent drafts is attached to the review it was written against.

Review response output · single review

Illustrative example
Review
Two-star, English
Drafted line
Thanked the reviewer and offered a direct contact, disclosing nothing
Rating given
2 of 5
Source of record
The review text itself
Confidence
93%
Attribution
Brand name and job title

As received

Taken from the review as published and the platform's reply rules — nothing on this side is written by the agent.

Records used

  • The review as posted
  • Platform reply rules
  • Approved reply library

Why this wording

It answers what the reviewer wrote and confirms nothing they did not.

What the score decides

Below the configured threshold the draft picks up a brand read before it reaches the owner.

Action

PublishEditSend to brand 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 review

From the review itself

03Drafting

Draft from the review

Draw on what the reviewer actually wrote, the platform's reply rules and your approved reply library.

01Approved path

Ask everyone, or ask no one

Routine replies reach the owner already drafted and already checked against platform rules.

02Human review

Send review to what a reply asserts

Any draft asserting a fact about a guest is marked for a person. Ordering your own review display is not suppression; filtering it by rating is.

04

Build an evidence trail

The response, the stay it refers to and the person who published it stay on the review record.

Integrations

Typical integrations

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

  • Reputation platforms

    • Tripadvisor
    • Google
    • Booking.com
    • Expedia
  • Reputation tooling

    • Revinate
    • Medallia
    • TrustYou
    • Reputation.com
  • Property and stay data

    • Opera Cloud
    • Mews
    • Cloudbeds
    • Apaleo

Agent

Review response & reputation

  • Reads the review
  • Drafts the reply
  • Holds for publication
  • Guest messaging

    • Braze
    • Salesforce
    • Survey and CRM tools
  • 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 platform

The layers nest, and each says what it does not catch. The map below carries the rest.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeFall back to drafting for review when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, reply-library and platform-rule configuration changes.Track
L4TraceabilityRecord the review, the draft, the flags, the edits and the publication time.Record
L3Owner publishesHold drafts for the named owner; it governs publication, not whether a published reply is right.Gate
L2Policy guardrailsTest drafts against configured disclosure, assertion and platform rules; a failure returns the draft.Restrict
L1Confidence thresholdsRoute low-confidence drafts to a brand read before the owner sees them.Require review
Model coreDraft produced — the reply, its flagged assertions and confidence
L1 – L2
Test whether a reply may stand
L3
Puts publication in an owner's hands
L4 – L5
Keep the response and the stay behind it
L6
Reverts to drafting for review when signals degrade

How Nestack evaluates it

Evaluate the responding workflow — not only the paragraph that goes out.

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

Surface — the reply the public reads

  1. E1Final-output evaluationDid the reply disclose anything the reviewer had not already said?
  2. E2Step-level evaluationDid the agent read the right review, platform rules and reply library?
  3. E3Tool evaluationDid it read and write the correct review on the correct platform?
  4. E4Confidence calibrationDo low-confidence drafts actually attract more owner edits?
  5. E5Slice evaluationHow does performance change across specific review types?
  6. E6Business outcomeHow many replies needed an edit or a removal after publication?

Floor — the claim the business answers for

Failure modes

Where each failure originates in the agent

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

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • CX-03

      Wrong stay matched

      A review is matched to a stay that is not the reviewer's.

    Stage gathers

    Reviews, platform rules and the reply library

  2. 02 · Reasoning

    2 modes

    • CX-04

      Assertion about a guest

      A reply states something about the reviewer as fact.

    • CX-06

      Stay detail disclosed

      A reply confirms a date, a rate or a room number.

    Stage proposes

    The reply the owner publishes in public

  3. 03 · Tool / write

    2 modes

    • CX-02

      Reply posted unreviewed

      A response reaches a platform with no owner behind it.

    • CX-05

      Solicitation screened by score

      A request goes only to guests who rated the stay well.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • CX-01

      Unreadable translation

      A translated reply goes out in language a platform rejects.

    Stage returns

    The reply the owner publishes and the market reads

  5. 05 · Change / Version

    1 mode

    • CX-07

      Silent disclosure regression

      A model or rule change widens what a reply will confirm.

    Stage tracks

    Model, prompt, reply library and platform config

  • Sev-1 · a reply published unreviewed
  • Sev-2 · a wrong claim reaches the public
  • Sev-3 · review data degrades, draft to review
See the complete Travel & Hospitality failure-mode catalogue

Affected slices

Overall quality can hide one bad cohort

The slice that hides is the reply that asserts something about the guest — a small share of responses, and the only ones that can turn into a claim against the business. Nestack reports the owner-edit rate by slice, not only in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Replies asserting a fact6.8%3.9×Review
Machine-translated replies4.0%2.3×Review
One and two-star reviews2.8%1.6×Watch
Plain positive reviews1.6%0.9×Normal

Bar: owner-edit-rate lift vs. plain-positive baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

Each cycle closes by adding a case

Nothing closes on a review meeting. It closes on a case the next release has to pass, and that suite is what the next response published is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Owner-edit rate rises in a response slice.

  2. 02

    Diagnose

    Which slice, and what did those replies assert? The drafts and the reviews behind them are read until the cause narrows to one.

  3. 03

    Improve

    Every change ships against a version with the responses attached.

  4. 04

    Verify

    The release is blocked while an affected case fails.

  5. 05

    Learn

    The case becomes permanent, and the response rules are re-tested.

  6. Learn → Detect

    The return edge. The next detection 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, responding workflow, evaluation, integration, then production validation and handover.

Workstream

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

  1. 01Review and response workflow discovery and boundaries.Week 1
  2. 02Platform and reputation source assessment.Week 1, Week 2
  3. 03Solicitation, disclosure and platform reply-rule mapping.Week 1, Week 2
  4. 04Review ingestion and normalisation.Week 2
  5. 05Drafting logic and review binding.Week 2, Week 3
  6. 06Confidence scoring and assertion routing.Week 3
  7. 07Owner publication workflow.Week 3, Week 4
  8. 08Reputation-platform integration.Week 5
  9. 09Solicitation and disclosure cases.Week 4, Week 5
  10. 10Guardrails and publication controls.Week 4
  11. 11Response-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 property, one platformProductionProduction reputation systemsAdvancedMultiple brands / platforms
Introduced at Pilot
Drafting from the review itself✓✓✓
Owner publication✓✓✓
Response-quality baseline✓✓✓
Introduced at Production
Reporting by property and platform—✓✓
Approval workflow in your systems—✓✓
Approved write-back—✓✓
Reputation-platform integration—✓✓
Introduced at Advanced
Multi-platform reply rules——✓
Multi-stage brand approvals——✓
High review volume——✓
Multi-brand response controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, transaction 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 platforms and their response rules

    Review ingestion and platform-rule mapping

    Week 1
  2. 02Responses you have already published

    Drafting baseline, tone extraction and review binding

    Week 2
  3. 03Your solicitation trigger and who publishes

    Solicitation, disclosure and platform reply-rule mapping

    Week 1
  4. 04Access to relevant APIs, feeds or exports

    Platform, reputation and property assessment, then integration setup

    Week 2
  5. 05Responses you would not want published

    Solicitation cases and failure-mode testing

    Week 4
  6. 06What a response may never disclose

    Confidence scoring, assertion routing, guardrails and publication controls

    Week 3
  7. 07Named owners to publish responses

    Publication 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 sit on the weeks the work occupies, so the fifth carries evaluation and launch together.

Phase

W1

W2

W3

W4

W5

W6

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

Week focus

W1Response workflow discovery, disclosure mapping and the automation boundary

W2Source integration and the drafting baseline

W3Responding workflow, confidence logic and publication controls

W4Solicitation cases, disclosure guardrails and failure-mode testing

W5Reputation-platform integration, pilot replies and targeted corrections

W6One review cycle answered under the brand team, then handover

Reading the band
A band spans only the weeks its work is named in. Week 5 carries two because that is how it runs.
At the end of W6
The cycle closes validation and Agent Care picks up monitoring.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Travel & Hospitality AI agent

Build a review-response agent that drafts, and never publishes.

The rule everyone quotes does not actually ban review gating — the regulator's own guidance says there is no specific prohibition, only that the practice can be deceptive. So the question comes back to you: which of your guests never get asked, and what would you say if someone asked you why? Show us your platforms, your solicitation trigger and who signs a published reply, and the boundary is built around those three.

Typical delivery
4–6 weeks
Deployment
Your platforms
Named publisher
Symmetric
After launch
Agent Care available

Nestack Agents · Review response

AGT-TH-11 · Agent Care available after launch

Build a review-response agent

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

About you
Your reviews

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