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Reputation risk filter

Separate routine responses from issues requiring human judgement

AI detects legal threats, safety issues, personal data, compensation requests, uncertain facts, spam and trolling. Each flag includes a reason and the appropriate escalation route.

Example in action

A risky comment does not receive a routine suggestion

The filter stops the standard process, explains the risk and passes the full context to the appropriate person.

Public review

Complaint with a compensation request

The guest describes an incident, publishes an employee's personal data and threatens legal action if the hotel does not pay compensation.

legal threatpersonal datacompensation
AI classification

Issue blocked and escalated

The system shows the risk categories, highlights relevant passages and directs the issue to a member of staff without preparing a routine publication.

  • visible risk level and type
  • specific passages triggering the block
  • recommended escalation route
Module scope

A conservative block where human judgement is needed

The filter is designed to protect the brand from an uncontrolled response. A doubtful issue may be passed to a member of staff even when its category cannot be determined conclusively.

Recognises risk

Detects legal, safety, compensation, privacy and uncertain-fact issues.

Stops routine processing

Stops a routine suggestion or automation when an issue falls outside the approved scope.

Explains the escalation

Shows the reason, relevant passages and the suggested owner of the next decision.

Process

How does the filter separate routine issues from exceptions?

1

Reading the comment

AI analyses the content, source, thread history and available context.

2

Checking the rules

It compares the issue with the risk catalogue and the hotel's relevant exceptions.

3

Classification

It assigns a risk level and highlights the passages supporting the result.

4

Blocking or escalating

A routine issue can proceed, while a risky one is passed to a member of staff.

Data and outcome

The reason for the classification must be visible

The system should not hide its decision behind a generic label. The user sees the category, the relevant passage and the rule applied.

Input

What does AI use?

  • review or comment text
  • public thread history
  • risk and escalation rules catalogue
  • optional hotel-specific exceptions
Output

What does the team receive?

  • risk level and category
  • reason for the block with source passages
  • suggested route for escalating the issue
Control

Uncertainty favours human oversight

A falsely safe classification is riskier than an additional review. Crises and decision-critical issues always remain with people.

The decision remains with the team

The team approves the risk and exception catalogue, can change the classification and always takes over legal, safety, compensation and uncertain-fact issues.

Where does this module end?

The filter does not settle disputes, provide legal advice, award compensation, publish responses or treat its classification as the final decision.

Outcome

A safe boundary between routine issues and exceptions

Visible risk

Each issue receives a level, category and verifiable rationale.

Automation blocked

High-risk content does not proceed to routine publication.

Appropriate escalation

The issue goes to someone who can verify the facts and make a decision.

Data and integrations

The filter works between the reputation panel and escalation

The Central Reputation Panel supplies the comment, the AI Platform applies the rules, and the context interview can add hotel-specific exceptions.

Central Reputation PanelAI PlatformContext interviewEscalation centre
Content hub

Related process elements

FAQ

Frequently asked questions

Which issues should always go to a member of staff?

Legal, safety, personal-data, compensation and uncertain-fact issues, along with any other exceptions set by the hotel.

Can the filter flag spam or trolling?

Yes, but the decision on moderation or a response remains with the user.

Can the user see the reason for the classification?

Yes. The system shows the category, rule and relevant passage.

Is the risk flag final?

No. A member of staff can change it, and the team always makes decisions on high-risk issues.

Set safe boundaries for public responses

We will define the risks, exceptions and escalation routes that protect your brand from an uncontrolled response.

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