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CogniVis

AI voice bot for hotel implementations

Phone conversations as part of the process

We design voice support for specific hotel tasks. The bot can answer agreed questions, collect information and pass cases to a member of staff. We tailor the scenarios, knowledge and system connections to the property—we do not give it free rein to promise anything over the phone.

Example in action

Reception is busy and a guest needs information

This example shows the module’s role in a hotel process. We define the source scope and available actions for each implementation.

Situation

Missed call

A guest calls with a question about arriving late. The hotel wants AI to take over the call after an agreed period, rather than leaving it unanswered.

Using the module

Support with a safe resolution

The bot explains its role, answers based on the procedure and collects the necessary information. It passes unusual requests to a member of staff. If the transfer fails, it follows the agreed fallback, such as recording a request for a call back.

  • Agreed time for answering
  • Conversation context and record
  • Handover and failure-handling path
Module scope

What does this module cover?

We choose between first-line support and taking over missed calls. We configure telephony, voice, languages, answer sources and escalation. Every operation in a PMS or CRM requires a separate integration and an approved scenario.

Conversations within an agreed scope

The bot collects information and answers questions covered by the hotel’s current knowledge.

Handover to the team

Unusual cases or those requiring a decision go to a nominated person or queue.

Post-call context

An agreed recording and summary can support subsequent service and analysis.

Process

How do we launch the solution?

1

Scenarios and boundaries

We define the questions, exceptions, information to collect and point at which to involve a person.

2

Telephony and knowledge

We connect numbers, answer sources and permitted actions.

3

Conversation testing

We test noise, unclear speech, interruptions and an unavailable member of staff.

Data and outcome

What goes into the module and what comes out?

We separate source material from the tool’s output. This helps subsequent modules understand which context they can use.

Input

What does AI use?

  • Telephone call
  • Approved knowledge and scenarios
  • Access to agreed systems
Output

What does the team receive?

  • Voice response
  • Collected information and history
  • Handed-over case or contact request
Control

Permissions and decisions remain with the hotel

Before launch, we agree data access, responsible people and how exceptions will be handled.

The decision remains with the team

The hotel approves how AI and any call recording are disclosed, as well as the data scope and escalation routes. Outbound calls require a separately agreed purpose, permissions and contact conditions.

Where does this module end?

The bot should not confirm a price, booking or exception without a reliable source and the necessary authorisation. The voice module alone does not provide access to every hotel system.

Outcome

What changes in day-to-day work?

Fewer calls without a next step

Even when reception is unavailable, a case can be collected for follow-up later.

Consistent information

Typical answers are based on approved context, not improvisation.

Data and integrations

Which sources and tools do we connect the module to?

A bespoke implementation can support reception, communication or a specific sales process. It should not be confused with the ready-made Phone channel in the Platform.

TelephonyHotel knowledgeTranscriptionsCommunication hubAgreed operational integrations
Content hub

Related process elements

Its place in the implementation journey

These links come from the roadmap. Requirements form the basis of each node, while enrichments extend its capabilities. This does not mean that all subsequent modules must be launched at once.

Modules that require this element

Modules this element enriches

FAQ

Frequently asked questions

Does the bot have to answer every call first?

No. We can arrange for it to take over after a set waiting time or under another condition supported by the telephony system.

What happens if the bot does not know the answer?

It should say so clearly and trigger the agreed next step, rather than making up terms or promises.

Design a conversation with a clear next step

Let’s choose the phone task, knowledge and way of passing exceptions to your team.

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