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CogniVis

Hotel call recordings and transcriptions

The call ends. The agreements remain.

We make recordings and transcriptions of phone conversations available to other AI modules. Instead of relying on memory for an organiser’s needs, a staff member can find a specific statement and return to the relevant point in the conversation.

Example in action

An important change does not disappear when the call ends

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

Situation

Agreements clarified by phone

The client responds to an offer by phone. They change the number of rooms and ask about earlier access to the room. The emails still show the previous version.

Using the module

A statement to check, not guess

The call record is added to the index with the date, participants and timestamps. A separate module can prepare a summary or draft confirmation email. The sales representative listens to the uncertain section before changing the offer.

  • Source recording
  • Text with speakers identified
  • Ability to verify the extract
Module scope

What does this module cover?

The module organises calls made available through the agreed telephony configuration. Recording, transcription and contact matching can take place after the call; a live version requires a separately tested integration.

Text instead of listening to the whole call

Search helps find a date, agreement or topic in a longer conversation.

Linked to the audio

A key figure or name can be checked against the original recording.

Consistent format

Further modules receive the date, call ID and sequence of statements.

Process

How do we launch the solution?

1

Agree the recording rules

We define the numbers, information given to callers, team access and retention period.

2

Collect the recording

The integration receives a file or stream provided by the telephony system and creates a transcription.

3

Quality control

We test difficult names, amounts, background noise and speaker attribution.

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 recordings
  • Call IDs and dates
  • Approved access rules
Output

What does the team receive?

  • Transcriptions with timestamps
  • Linked recordings
  • Source for summaries and analysis
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 agrees the rules for recording and processing calls with the responsible people. Access to recordings may be narrower than access to summaries; an incorrect transcription requires correction, not automatic confirmation to the client.

Where does this module end?

This is not a voice bot. The module does not answer calls or conduct conversations. Transcriptions may contain errors, so important commercial terms must be verified before further action.

Outcome

What changes in day-to-day work?

Continuity of service

The next person can see the agreements made by phone, not just the email history.

Material for improvement

Analysis and team training can draw on specific situations instead of assumptions.

Data and integrations

Which sources and tools do we connect the module to?

We check which recordings and metadata the telephony system provides. Archived recordings can be enabled only within the agreed available scope.

Telephone systemCall recordingsEmail assistantCommunication Hub
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

FAQ

Frequently asked questions

Is the transcription always accurate?

No. Sound quality, proper names and overlapping speech affect the result. The text record should make it possible to return to the recording.

Do we need a voice bot?

Not for indexing recordings alone. A bot is a separate tool needed when AI is expected to conduct the conversation.

Preserve the context of phone conversations

We’ll review your telephone system’s capabilities and design access to recordings to suit the way your team works.

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