# CogniVis - AI implementation roadmap for hotels

> An interactive roadmap for the development of AI tools and agents for hotels.

## CogniVis — interactive AI implementation roadmap for hotels

[CogniVis — interactive AI implementation roadmap for hotels](https://cognivis.ai/iframes/quote-tree/CogniVis_TechTree_Prototyp.html?lang=en)

The Hotel Platform is distinct from tailored projects. Roadmap items describe possible development paths, not features included in every subscription. Pricing depends on the selected plan and configuration. Demos illustrate scenarios; consult the linked feature and pricing pages for scope. References to MDB are not evidence of CogniVis hotel deployments.

## AI platform

Secure AI access to organisational knowledge.

The AI platform provides models with approved property knowledge and controls how it is used.

📋 **How does it work?**
It combines AI models, source search, users, permissions, activity history and security rules. The web integration provides basic public knowledge, while other sources can gradually expand it.

✅ **Result**
- one controlled access point for knowledge
- answers based on approved sources
- the ability to add further tools safely

## Email index

Organises the content and history of selected mailboxes.

The email index makes correspondence available as an organised source of context.

📋 **How does it work?**
It reads agreed mailboxes and retains the content, participants, dates, thread history and attachments. The index itself does not send messages — replies are handled by the Communication Hub or an email client tool.

✅ **Result**
- searchable correspondence history
- preserved thread and participant context
- a clean source for analysis and communication tools

## Call recordings and transcripts

Provides recordings and transcripts of telephone conversations.

Call recordings and transcripts provide the course of telephone contact as a source of context.

📋 **How does it work?**
The agreed telephony configuration records the call, creates a transcript, separates the speakers and preserves the source link. The module does not answer calls or conduct conversations — that is the role of the Voice Bot.

✅ **Result**
- recordings and transcripts in one standard
- speakers and the course of the contact available to AI
- a source for summaries and analysis

## Document OCR

Digitises documents that AI can use.

Document OCR converts scans and photos of documents into text and structured data.

📋 **How does it work?**
It recognises text, page layouts, tables and key fields. The result retains a reference to the source file, while documents of poor quality or with uncertain readings are sent for verification.

✅ **Result**
- knowledge from scans available to AI
- less manual data entry
- information search with the source retained

## Web integration

Provides website content and allows CogniVis tools to be embedded.

The web integration provides website content as a knowledge source and allows CogniVis tools to be embedded.

📋 **How does it work?**
It indexes public pages together with their structure, address and date of last reading. An agreed script allows elements such as a chat widget or Review Chat to be added, without linking this foundation to the GEO optimisation process.

✅ **Result**
- up-to-date website content available to AI
- the source of every piece of information retained
- the ability to embed interactive widgets

## AI in the email client

An AI assistant available directly alongside an email.

AI in the email client adds assistant functions directly to the email workspace.

📋 **How does it work?**
It reads the open message and thread history from the email index. It can show summaries, response suggestions and buttons for approved functions alongside the message, without moving the content to a separate tool.

✅ **Result**
- AI context available alongside the message
- less copying of content between tools
- user control over every send

## AI in the browser

Access to an AI assistant directly in the browser.

AI in the browser is an extension that works inside existing websites.

📋 **How does it work?**
It reads the approved context of the visible page and displays suggestions, ratings or action buttons alongside it. We use it when a user works in a portal such as LinkedIn or when a system does not provide a suitable API; it is not intended for general web searching.

✅ **Result**
- AI functions available in the portal being used
- less copying of data between screens
- support for services without a dedicated integration

## API

Sharing data and AI functions with other systems.

The API makes selected CogniVis data and functions available to other systems.

📋 **How does it work?**
It defines supported operations, data scope, authentication method, limits and call history. Each integration receives only the permissions needed for the agreed process.

✅ **Result**
- controlled data exchange between systems
- a clear scope of available operations
- a history and audit trail for every connection

## Context interview

Filling gaps in knowledge not found in systems and documents.

The context interview gathers knowledge that cannot be reliably read from systems and documents.

📋 **How does it work?**
Structured conversations cover processes, exceptions, responsibilities, decision criteria and the team’s language. Findings are organised, passed to the owner for verification and only then made available to AI.

✅ **Result**
- explicit rules previously known only to employees
- fewer incorrect assumptions in automations
- material for AI scenarios and operating rules

## Voice Bot

Conducts approved voice conversations and passes exceptions to an employee.

The Voice Bot conducts approved telephone conversations on behalf of the property.

📋 **How does it work?**
It uses connected telephony, identifies the purpose of the call and responds based on approved knowledge and scenarios. It records a transcript, while uncertain, unusual or decision-dependent matters are passed to an employee.

✅ **Result**
- handling of approved conversation types
- a full record of the conversation and decisions
- safe escalation of exceptions to a person

## Additional sources index

Organises knowledge from drives, documents and other organisational sources.

The additional sources index makes knowledge beyond the website and core systems available to AI.

📋 **How does it work?**
It connects agreed drives, folders, documents and knowledge bases. It retains the source, update date and permissions for every item, while outdated or uncertain content can be disabled without deleting it from the source system.

✅ **Result**
- one searchable layer of additional knowledge
- sources and update dates retained
- controlled access aligned with permissions

## Lead research and qualification

A profile of the company, its events and potential needs, with a priority recommendation.

Lead research and qualification prepares a specific profile of the company and potential participants before the first response.

📋 **How does it work?**
AI analyses the message, attachments, sender and domain, then searches approved public sources. It checks, among other things, the company size, office locations, the team responsible for events, events organised in the past year, venues selected and possible accommodation needs. Optionally, it combines the research with contact history and CRM. On this basis, it builds a lead profile, identifies potential needs and recommends a priority according to the hotel’s criteria. Each piece of information is marked as a fact, customer-provided data or a hypothesis requiring confirmation.

🛡️ **Scope and control**
The module does not contact the customer, reject enquiries, assign a salesperson, prepare responses or update CRM independently. The salesperson assesses the relevance of the research and decides how to proceed.

✅ **Result**
- a specific profile of the company and potential participants
- context from previous events and locations
- hypotheses about accommodation, attractions and additional services
- a recommended priority with justification
- transparent sources and confidence levels

## Lead distribution

Automatically assigns an enquiry to the right salesperson.

Lead distribution routes new enquiries to the right salesperson.

📋 **How does it work?**
The module applies approved rules based on relationship history, enquiry type, specialisation and team workload. It recommends a person or automatically records the owner in the CRM where the hotel has allowed this action.

✅ **Result**
- faster assignment of new enquiries
- consistent work-allocation rules
- the owner recorded on the correct CRM record

## Lead follow-up questions

Identifies gaps, prepares questions and organises a complete sales brief.

Lead follow-up questions collect the information needed to prepare the right hotel offer.

📋 **How does it work?**
The module analyses the full email thread and attachments, identifies the type of enquiry and compares the collected data with the requirements defined by the hotel for that process. It ignores information already provided and questions that are unnecessary in the specific situation. It then identifies gaps, prepares a short message for the customer and organises the details in a single brief. The salesperson can edit and approve the message before sending. After the next reply, AI reassesses whether the lead is complete.

🛡️ **Scope and control**
The module does not send messages automatically, invent missing data, check availability, prepare quotes or update the CRM independently. These activities are handled by separate modules using the prepared brief.

✅ **Result**
- complete information before quoting begins
- fewer rounds of correspondence and repeated questions
- a consistent enquiry-qualification standard
- ready context for availability, quoting, routing and CRM

## Follow-ups

Monitors inactive conversations and prepares a reminder message.

Follow-ups monitor conversations where the customer has not replied within the agreed timeframe.

📋 **How does it work?**
The module detects an inactive thread and prepares a short message based on its context. The timing and number of reminders follow the hotel’s rules, and at this level the salesperson approves sending them.

✅ **Result**
- fewer forgotten sales conversations
- a message tailored to previous agreements
- clear control over timing and sending

## Competitor screening

Flags enquiries that may come from competitors.

Competitor screening flags enquiries that may come from a competing property.

📋 **How does it work?**
It compares the sender, domain, company and message content with publicly available information about competitors. When it detects a specific connection, it shows it to the salesperson and leaves the decision about the next response to them.

✅ **Result**
- enquiries linked to competitors are visible
- a specific reason for each flag
- the salesperson retains the decision about whether to respond

## Upselling suggestions

Additional services matched to the customer’s needs and event type.

Upselling suggestions identify additional services that fit the customer’s needs.

📋 **How does it work?**
AI combines information about the company, event, cooperation history and property offering. It identifies specific services and prepares a natural section of text that the salesperson can use or omit.

✅ **Result**
- more relevant additional-service suggestions
- better use of the property’s full offering
- the salesperson remains in control of the suggestion presented

## Availability suggestions

Rooms and spaces matched to the customer’s needs and available for the required dates.

Availability suggestions select rooms and spaces that fit the customer’s enquiry.

📋 **How does it work?**
The module combines the dates, number of participants, layout and other requirements with current PMS data. It shows available options and a brief explanation of the match, which can be used directly in the response.

✅ **Result**
- faster checks of available options
- spaces better matched to requirements
- less manual comparison of data

## Content suggestions

Selects content for the enquiry and the message being prepared.

Content suggestions select images and documents that fit the enquiry.

📋 **How does it work?**
AI analyses the customer’s needs and the scope of the message being prepared, then searches the approved content library. The salesperson sees the recommended files alongside the response and can add selected items with one click.

✅ **Result**
- content matched to the specific enquiry
- less manual searching for files
- full control over added attachments

## Ready-made quotes

A complete quote created in the hotel’s system.

Ready-made quotes turn agreements with the customer into a complete offer scope.

📋 **How does it work?**
The module combines requirements, available options and selected services, then creates a quote against the relevant CRM record. The salesperson sees all line items, can change them and approves the result before sending.

✅ **Result**
- a complete quote against the correct lead
- less manual field completion
- salesperson control before the offer is sent

## Ready-made bookings

A booking structure ready for approval and saving in the PMS.

Ready-made bookings prepare the stay structure for checking and saving in the PMS.

📋 **How does it work?**
Based on confirmed agreements, the module arranges the dates, number of guests and accommodation structure. The salesperson checks the summary; once approved, the booking is saved in the PMS and a confirmation proposal is created.

✅ **Result**
- a booking prepared without re-entering data
- lower risk of errors in the stay structure
- approval before saving in the PMS

## Service scenarios

Guides standard enquiries according to rules approved by the hotel.

Service scenarios organise how recurring sales enquiries are handled.

📋 **How does it work?**
The hotel defines the questions, permitted answers, conditions for progressing, follow-up timings and the point at which the conversation is handed to a person. The assistant identifies the type of case and guides the user according to the relevant scenario.

✅ **Result**
- consistent handling of recurring enquiries
- fewer missed process steps
- clear conditions for handing the case to a salesperson

## Quoting bot

Handles standard enquiries independently and sends ready-made offers.

The quoting bot independently handles standard enquiries until the offer is sent.

📋 **How does it work?**
It collects missing data, answers questions, checks availability, creates a quote, prepares a booking, carries out follow-ups and updates the CRM. It can attach specified content if available. Unusual conditions, uncertain information and decisions outside the approved scope are passed to a salesperson.

✅ **Result**
- fast handling of standard enquiries
- a complete history of actions and agreements in the CRM
- immediate handover of exceptions to a person

## Contact history summary

A concise overview of previous contacts with the person and their organisation.

The contact history summary shows previous conversations with the person and their organisation.

📋 **How does it work?**
A button beside the message collects the key topics, agreements, previous enquiries and next steps. The CRM can supplement correspondence with deals, statuses and activities recorded outside the inbox.

✅ **Result**
- the full relationship context in one place
- less manual searching through history
- consistent continuation of previous agreements

## Phone conversation summaries

A proposed message containing the agreements from a phone conversation.

Phone conversation summaries turn a call into organised agreements and a proposed email.

📋 **How does it work?**
AI analyses the recording and transcript, extracting decisions, tasks and next steps. The prepared message appears in the email client and always waits for the salesperson to check and approve it.

✅ **Result**
- conversation agreements confirmed in writing
- less manual note-taking
- full control over the message sent

## CRM updates

An up-to-date CRM without manually re-entering agreements from conversations.

CRM updates record current agreements and process status without manual re-entry.

📋 **How does it work?**
The module identifies the customer, owner, needs, next step and stage change. It updates only the agreed fields, shows an audit trail and leaves uncertain information for approval.

✅ **Result**
- an up-to-date customer and deal history
- less manual re-entry of agreements
- a complete history of changes made by AI

## CRM integration

Leads, contacts, deals and sales history available to AI.

The integration gives AI access to data stored in the CRM and allows it to be updated in a controlled way.

📋 **How does it work?**
We connect the agreed objects and fields, such as contacts, companies, leads, deals, record owners, sales stages, activities and notes. Read and write access is restricted by roles and permissions.

✅ **Result**
- one up-to-date view of the customer relationship
- no manual copying of data between the CRM and AI tools
- the option to assign and update records automatically

## PMS integration

Gives AI access to bookings, stays, resource statuses and guest data.

The integration connects AI to the PMS used by the property.

📋 **How does it work?**
It provides agreed data about bookings, stays, guests and resource statuses. Once approved, it can perform permitted write operations, such as preparing or updating bookings.

✅ **Result**
- an up-to-date view of bookings and stays
- less manual data entry into the PMS
- a controlled scope of read and write access

## Response suggestions

A draft response based on the full sales context.

Response suggestions prepare a draft message at every stage of the sales conversation — from initial questions, through objections and clarifications, to the next step.

📋 **How does it work?**
AI analyses the current thread, uses the hotel’s approved knowledge and, where available, the company profile and lead brief. It uses availability, pricing or booking-link data only when these have been provided by the relevant module or integration. It displays the draft together with its context, while the sales representative can edit it and must always approve it before sending.

⛔ **Out of scope**
- checking availability independently
- pricing or preparing calculations
- sending messages automatically
- updating the CRM independently

✅ **Result**
- faster response preparation
- consistent information based on approved knowledge
- full control over sending for the sales representative

## Social Media message index

Organises private messages from Facebook, Instagram and WhatsApp.

The Social Media message index creates a shared source of private conversations held in messaging services.

📋 **How does it work?**
It retrieves available messages from the company’s Facebook, Instagram and WhatsApp accounts. It retains the channel, sender, thread history, dates and attachments, but is not used for replying — this function is provided by the Central Communication Hub.

✅ **Result**
- private messages available in one format
- the full thread history, with the channel retained
- a clean data source for communication handling

## Social Media comment index

Organises public comments under the brand’s posts.

The Social Media comment index separates public reactions to the brand from private conversations with guests.

📋 **How does it work?**
It retrieves available comments from the company’s social profiles together with the post content, author, date and history of the public thread. The index is used for reading and analysis; replies are made in the Central Reputation Hub or directly next to the comment.

✅ **Result**
- public comments in one format
- the context of the post and the full thread retained
- a separate source for brand and reputation processes

## Publication index

Organises social media posts, content and publication results.

The publication index is a read-only source of the history of content published by the hotel and selected brands.

📋 **How does it work?**
It retrieves post content, materials used, channel, date and available results. For hotel accounts, it uses detailed statistics provided by the platform; for selected competitors, it uses public data only. It does not create or publish content — these activities take place in the Central Publishing Hub.

✅ **Result**
- post history in one format
- materials and results linked to each publication
- a separate data source for creating new content

## Review index

Organises reviews and ratings from Booking.com and Google.

The review index creates a shared, searchable source of opinions about the property.

📋 **How does it work?**
It periodically retrieves available reviews from Booking.com and Google, retaining the content, rating, date and source platform. It standardises the format, removes duplicates and makes it possible to search reviews by topic without separating them from their original source.

✅ **Result**
- one review database covering multiple platforms
- reviews ready for searching and analysis
- the source of every statement retained

## Central Reputation Hub

Brings reviews and public comments together in one queue.

The Central Reputation Hub is a shared place for handling public reactions to the brand.

📋 **How does it work?**
It brings reviews and comments together in one view showing the source, status, owner and response history. Where a platform supports posting replies, staff can respond directly from the hub. Elsewhere, the hub opens the exact review or comment and, once the relevant modules are enabled, also passes a suggestion to the browser extension.

✅ **Result**
- one queue for reviews and public comments
- reply from the hub or a direct link to the source
- a clear separation between reputation and private communication

## Central Publishing Hub

Brings together planning, approval, scheduling and post publication.

The Central Publishing Hub is a shared place for preparing new social media content.

📋 **How does it work?**
Staff create drafts, arrange the calendar, assign channels, approve materials and publish them immediately or according to a schedule. The hub retains versions, statuses and results from the publication index. The analytical modules and generators available in the hub use the AI platform; comments under posts remain in the Central Reputation Hub.

✅ **Result**
- one queue for drafts and scheduled posts
- publication to connected profiles from one place
- a complete history of approvals, versions and results

## Booking engine integration

Provides available stay options and leads to direct booking.

The integration connects AI to the booking engine used by guests.

📋 **How does it work?**
It reads available stay options, restrictions and required data. It can prepare the correct link or initiate the booking journey, while the engine retains control of the final confirmation.

✅ **Result**
- current availability that can be booked
- a shorter journey from conversation to booking
- clear routing of the guest to the correct option

## Hotel guest guide

Provides guests with information, notifications and services related to their stay.

The hotel guest guide is a mobile service channel available without installing an app.

📋 **How does it work?**
The guest opens the guide using a QR code or individual link. The guide uses approved website content and additional sources and, once linked to a stay, can display the relevant information, notifications and services. Context interviews supplement it with knowledge known to staff.

✅ **Result**
- stay information always at hand
- one contact channel throughout the stay
- a foundation for further digital services

## LinkedIn Bot

Provides AI with authorised access to a user’s private account.

LinkedIn Bot acts on behalf of a specified user, such as a sales representative.

📋 **How does it work?**
As a basic function, it reads profiles, posts, network activity, comments and messages available to the authorised account. Write permissions are disabled by default and may be added only in advanced modules, with limits, approvals and an activity history.

✅ **Result**
- LinkedIn context without manual copying
- better signals for prospecting and personalisation
- a controlled transition from reading to writing

## Central Communication Hub

Brings all property conversations together in one shared inbox.

The Central Communication Hub is a shared place for handling contact with guests.

📋 **How does it work?**
It brings together private social media messages, email correspondence, website chat, and telephone call recordings and transcripts. Staff can reply to text messages from one place, while telephone conversations are handled once the Voice Bot is connected. Public comments and reviews remain in the separate Central Reputation Hub.

✅ **Result**
- one queue for private conversations from all channels
- replying without switching between inboxes and messaging services
- telephone context ready to be extended with the Voice Bot

## Customer analysis

Shows which companies and contacts most often lead to sales.

The AI platform analyses customer history and sales results.

📋 **How does it work?**
It combines CRM data with the available relationship context. It identifies the characteristics of the best customers, won deals and returning organisers. The analysis can be run regularly and results can be compared over time.

✅ **Result**
- a profile of the most promising customers
- criteria for lead generators
- information about changes in the sales structure

## Offer analysis

Organises the property’s offer, differentiators and sales arguments.

The AI platform creates a structured map of the offer and its differentiators.

📋 **How does it work?**
It combines information from the website and other sources. It links each customer need to the relevant argument, supporting evidence and limitations. Regular analyses show changes in the offer.

✅ **Result**
- an up-to-date database of arguments
- communication based on specifics
- knowledge for calibration and messaging

## Market analysis

Identifies company segments that best match the property’s offer.

The AI platform divides the market into priority company groups.

📋 **How does it work?**
It analyses industry, location, company size, needs and potential exclusions. Results can be refreshed regularly and changes in segments can be tracked.

✅ **Result**
- an order of priority for lead-generation segments
- more precise search criteria
- target customer profiles for lead generators

## Buying signals

Defines events that may indicate a good time to make contact.

The AI platform organises signals that may indicate demand for the property’s offering.

📋 **How does it work?**
For each signal, it records the source, validity period and business significance. Examples include company expansion, recruitment, an anniversary or a planned conference.

✅ **Result**
- specific reasons to make contact
- a better time to start the conversation
- rules for company monitoring

## Source audit

Identifies reliable sources of companies, contacts and buying signals.

The audit assesses the data sources needed for lead generation.

📋 **How does it work?**
It checks the scope, quality and currency of the data, the integration method and the risk of duplicates. Results are available in the AI platform and can be refreshed when a provider changes.

✅ **Result**
- a verified list of sources
- known data limitations
- a foundation for generators and monitoring

## Outbound analysis

Shows which outbound activities have previously generated responses.

The AI platform analyses the history and results of outbound activities.

📋 **How does it work?**
It links messages with replies, meetings and deal statuses. It compares the effectiveness of arguments, segments and contact sequences.

✅ **Result**
- knowledge based on real results
- identification of ineffective patterns
- data for calibrating outbound activity

## LinkedIn leads

Assesses LinkedIn profiles and saves the best leads.

LinkedIn Bot and the browser extension help find leads directly on LinkedIn.

📋 **How does it work?**
The bot reads the profile and available activity context from an authorised account. The extension shows the match with the target customer profile, a brief explanation and the key data. With one click, the salesperson can save the profile to a queue and check for duplicates in the CRM.

✅ **Result**
- faster profile assessment
- leads saved without copying data
- context based on current activity

## Email and phone leads

Generates lead lists with an email address or telephone number.

The AI platform finds leads reachable by email or telephone.

📋 **How does it work?**
The user selects a target customer profile or their own criteria. The system searches approved sources, removes duplicates and shows the origin and confidence of the contact data.

✅ **Result**
- a ready-made contact list
- less manual searching
- data ready to save in the CRM

## Company monitoring

Notifies you when a reason to make contact appears at a monitored company.

The AI platform tracks selected companies and market segments.

📋 **How does it work?**
It checks approved sources regularly for buying signals. Each alert includes the change detected and an explanation of why it may be a good time to make contact.

✅ **Result**
- specific sales alerts
- less manual market monitoring
- a history of changes for each company

## Outbound calibration

Defines the rules for qualification, personalisation and contact.

One panel controls how all outbound tools operate.

📋 **How does it work?**
The team sets target customer profiles, assessment rules, exclusions, message style, channel order, limits and required approvals. Changes can be tested on sample leads before publication.

✅ **Result**
- one shared configuration
- consistent rules across all channels
- clear boundaries for automation

## LinkedIn messages

Suggests invitations, initial messages and follow-ups on LinkedIn.

The extension prepares messages directly beside the lead’s profile.

📋 **How does it work?**
AI uses profile data, posts, activity, message history available to LinkedIn Bot, the target customer profile and calibration settings. It separately suggests an invitation, an initial message and a follow-up. At this stage, the bot operates in read-only mode and the salesperson decides whether to send it.

✅ **Result**
- ready-to-use copy beside the profile
- personalisation based on current context
- full control over sending

## Email messages

Suggests initial messages and follow-ups in the email client.

The assistant prepares outbound messages in the email client.

📋 **How does it work?**
It selects an argument, buying signal and appropriate contact sequence. It creates a draft initial message and follow-ups, showing the sources used.

✅ **Result**
- less writing from scratch
- messages tailored to the recipient
- content review before sending

## Call scripts

Prepares the opening, questions and arguments for the first call.

The AI platform prepares the salesperson for a conversation with a selected lead.

📋 **How does it work?**
It creates a brief opening, questions, arguments, possible objections and the next step. The script takes the company, target customer profile and calibration rules into account.

✅ **Result**
- faster call preparation
- the right context at hand
- consistent yet flexible arguments

## Outbound bot

Finds prospects independently and manages controlled active outreach.

The bot manages a repeatable outbound process within the boundaries set by the team.

📋 **How does it work?**
It finds and qualifies leads, selects arguments, follows the permitted contact sequence and updates the CRM. Only at this stage can the LinkedIn Bot receive selected write permissions. Every action is subject to limits, approval rules and an activity history, while phone outreach remains optional.

✅ **Result**
- a steady flow of new conversations
- controlled outreach from a private account
- full control over channels and escalation

## Competitor analysis

Compares the property’s content and visibility with competitors selected by the hotel.

The analysis shows where selected competitors are more visible and better address guests’ needs.

📋 **How does it work?**
The AI platform compares their websites, topic coverage, level of detail, useful formats, and presence in search results and AI responses. A context interview can refine the relevant comparison group and the hotel’s genuine advantages.

✅ **Result**
- a visibility comparison of selected competitors
- a list of their stronger content and topics
- concrete benchmarks for the hotel

## Content analysis

Assesses existing content for clarity and visibility in AI.

The analysis checks whether the website communicates information in a way that is easy for guests and AI systems to understand.

📋 **How does it work?**
It assesses the specificity of descriptions, the presence of figures and comparisons, direct answers to questions, heading structure and clarity of language. It highlights vague statements, repetition and sections requiring clarification for GEO.

✅ **Result**
- an assessment of existing content quality
- a list of sections to clarify
- recommendations that improve usefulness for AI

## Image analysis

Compares ALT descriptions with what the AI model actually recognises in images.

The analysis checks whether visual materials are described accurately and usefully.

📋 **How does it work?**
The system detects images without ALT text, repetitive descriptions and descriptions that do not match the content. It then compares them with the model’s visual analysis and materials from additional sources; the context interview helps correctly name places, rooms and services.

✅ **Result**
- a list of missing and incorrect ALT descriptions
- a comparison of descriptions with image content
- ready-to-use suggestions for new descriptions

## Content gaps

Identifies property information that is missing from the website.

The analysis detects important information available within the hotel but not visible to guests or AI systems.

📋 **How does it work?**
It compares website content with documents collected in the AI platform and knowledge gathered during the context interview. Each gap is described by its source, significance to guests, publication location and urgency for completion.

✅ **Result**
- a list of missing information
- each gap linked to its source
- website content completion priorities

## SEO and traffic

Connects SEO phrases with organic traffic and visits from AI tools.

The analysis organises existing data on how users reach the hotel’s website.

📋 **How does it work?**
It imports key queries and landing pages from SEO and analytics tools. It identifies visits from AI tools based on UTM parameters and available referral URLs. If the hotel uses a tool such as Ahrefs, it supplements the analysis with competitor keywords.

✅ **Result**
- one map of keywords and landing pages
- visible traffic from AI tools
- competitor SEO context, where available

## Technical analysis

Checks whether the website is technically ready for search engines and AI agents.

The analysis detects issues that limit indexing, performance and how AI agents interact with the website.

📋 **How does it work?**
It tests performance, Core Web Vitals, accessibility for crawlers and the completeness of structured data about the property and reviews. It checks whether the sitemap, robots.txt, llms.txt and IndexNow configuration are up to date, then prepares a report for IT or the website administrator.

✅ **Result**
- a prioritised report of technical issues
- structured data checks
- a list of gaps that hinder indexing and interaction with AI agents

## Intent scenarios

Creates conversations in which the hotel should appear in AI responses.

The generator defines intents and realistic conversations between potential guests and AI systems.

📋 **How does it work?**
Based on competitors, content, detected gaps and SEO data, it builds single- and multi-stage scenarios for ChatGPT, Gemini and Claude. Each scenario includes a user goal, question variants, expected information and visibility assessment criteria.

✅ **Result**
- a list of key user intents
- repeatable conversation scenarios with AI
- clear criteria for measuring visibility

## Technical optimisation

Implements or prepares ready-to-use technical website fixes.

The module turns image and technical audits into specific changes ready for implementation.

📋 **How does it work?**
It prepares improved ALT text, structured data, sitemap, robots.txt and llms.txt files, IndexNow configuration and performance tasks. It implements fixes automatically wherever it has approved access; elsewhere, it creates a package and instructions for IT.

✅ **Result**
- a ready-to-implement scope of technical changes
- automatic fixes within the permitted scope
- a clear implementation package for IT

## Mention suggestions

Identifies relationships and websites where the hotel could earn a valuable mention.

The analysis looks for specific opportunities to increase the brand’s presence on external domains.

📋 **How does it work?**
It combines correspondence history with customers and partners with mentions earned by competitors. It identifies an existing relationship, a potential domain, the value of the mention and a suggested next step; the CRM can supplement the analysis with contacts, deals and relationship status.

✅ **Result**
- a list of realistic opportunities to earn a mention
- an explanation of each domain’s value
- a suggested contact or next step

## Tone calibration

Creates a concise guide to the hotel’s content tone and style.

The module turns the brand’s existing language into a practical guide for AI generators.

📋 **How does it work?**
It analyses existing content and the style of materials that generate valuable traffic. It creates a guide of several sentences, allows its characteristics to be modified and immediately tests any content; competitor analysis can provide an additional benchmark.

✅ **Result**
- a concise definition of the brand tone
- editable language rules
- a sample generator in the calibrated style

## Visibility tracking

Measures the hotel’s and competitors’ visibility across multiple language models.

Monitoring shows whether the hotel appears for key intents and in conversations with AI.

📋 **How does it work?**
It runs defined scenarios periodically in the available models, recording responses, sources, brand position and competitor presence. It compares results over time and alerts users to significant increases and decreases.

✅ **Result**
- comparable measurements across multiple models
- a history of the hotel’s and competitors’ visibility
- alerts about significant changes

## Content panel

Centralises strategy, revisions and organic content generation.

The panel is a shared workspace for developing hotel content.

📋 **How does it work?**
It combines intent scenarios with a revision queue, suggestions for new materials and topic clusters. Staff can specify a goal, enter their own prompt and generate any content in a calibrated tone, while retaining sources and approval status.

✅ **Result**
- one content work queue
- generator for any type of material
- consistent strategy and change history

## External profiles

Optimises controlled hotel profiles on external services.

The module checks how the hotel is described on aggregators and industry portals.

📋 **How does it work?**
It inventories profiles on Booking.com, Tripadvisor and conference websites, among others, and compares their information with key scenarios and identified opportunities for external mentions. It prepares separate descriptions and additions that match each service’s format and the brand’s tone.

✅ **Result**
- list of profiles requiring updates
- improved descriptions for each service
- better coverage of key scenarios

## Visibility agent

Monitors visibility and develops content within the approved scope.

The agent manages an ongoing process to improve the hotel’s organic visibility.

📋 **How does it work?**
It tracks scenario results, prioritises work in the Content panel and prepares updates to external profiles. It submits changes for approval or to a tool with the appropriate access, while leaving strategic decisions and unusual cases to people.

✅ **Result**
- continuous visibility development
- shorter path from measurement to revision
- control over publication and activity history

## Review analysis

Shows recurring topics, ratings and changes in reviews.

Review analysis organises guest feedback into a live report available in the AI Platform.

📋 **How does it work?**
It groups reviews by topic, rating, platform and period. It shows the most frequently mentioned strengths, issues and changes over time, as well as reviews left unanswered; Context intelligence can help interpret the reasons for changes correctly.

✅ **Result**
- ranking of topics appearing in reviews
- trends in ratings and issues over time
- list of feedback requiring a response

## Comment analysis

Shows recurring topics and reactions in public comments.

Comment analysis organises public discussions held beneath the brand’s content.

📋 **How does it work?**
It groups comments by platform, post, topic, sentiment and response status. It identifies questions, praise, complaints and threads that are growing quickly; Context intelligence helps distinguish local jokes and shorthand from genuine issues.

✅ **Result**
- most common topics in public comments
- visible reactions to specific brand content
- list of threads requiring a response

## Response audit

Assesses the hotel’s previous responses to reviews and comments.

Response auditing shows how the hotel has previously conducted public conversations about the brand.

📋 **How does it work?**
It checks response times, response rates, factual accuracy, tone, repetition and how difficult issues are resolved. Each assessment leads to a specific example, while additional sources can explain whether the information used was correct.

✅ **Result**
- measurable response coverage
- examples of good and problematic reactions
- list of rules requiring clarification

## Response comparison

Compares the hotel’s response practices with selected competitors.

Response comparison gives the hotel a specific benchmark for public communication.

📋 **How does it work?**
The AI Platform compares selected competitor profiles for speed, coverage, length, tone and how they respond to difficult feedback. Additional sources can expand the list of profiles being compared and maintain a recurring history of changes.

✅ **Result**
- comparison of selected competitors’ practices
- response patterns worth testing
- areas where the hotel falls behind the market

## Reputation alerts

Notifies you about new negative feedback and rapidly growing threads.

Reputation alerts help you respond before a public issue is left unanswered.

📋 **How does it work?**
The hotel sets rating thresholds, alert words, priority topics and comment growth rates. The system sends a notification with a quote, source and link to the thread, rather than limiting itself to a general message about new activity.

✅ **Result**
- immediate alerts about important reactions
- clear explanation of the reason for the alert
- direct access to the original thread

## Risk filter

Flags public statements that AI should not handle independently.

The risk filter separates routine responses from matters requiring an informed human decision.

📋 **How does it work?**
It detects legal threats, safety issues, personal data, compensation claims, uncertain facts, spam and trolling, among other things. Each flag includes the reason and a suggested way to escalate the matter; Context intelligence adds hotel-specific exceptions to the list.

✅ **Result**
- visible risk level for every matter
- specific reason why automation is blocked
- safe separation of routine matters from exceptions

## Response calibration

Sets the tone, length and boundaries of the brand’s public responses.

Response calibration is an editor for the rules used in reviews and comments.

📋 **How does it work?**
The hotel sets the tone, length, signatures, languages, permitted promises and response patterns for different types of statement. Rules can be tested on historical examples before use; competitor comparison, Context intelligence and additional sources provide material for refining the settings.

✅ **Result**
- one configuration for public responses
- response samples before publishing the rules
- clear boundaries for the brand’s language and promises

## Response queue

Organises reviews and comments by priority, status and owner.

The response queue extends the Central Reputation Panel with an operational workflow.

📋 **How does it work?**
It combines response deadlines, ratings, topics, discussion growth rates and set priorities. Each matter has an owner, status and response time, while response auditing and the risk filter help set the right order.

✅ **Result**
- one organised response list
- clear owner and status for each matter
- priorities based on importance and urgency

## Response control

Checks AI and staff responses before and after publication.

Response control safeguards a shared quality standard for public reactions.

📋 **How does it work?**
It assesses factual accuracy, tone, brand policy and escalation rules. It shows the source of the problem, the corrected version and the correction history, while review, comment and competitor analyses can broaden the samples used in the audit.

✅ **Result**
- shared criteria for AI and staff
- specific identification of the error and correction
- history of response quality over time

## Crisis support

Prepares context and a response plan for high-risk cases.

Crisis support turns an urgent public thread into a structured task for the right person.

📋 **How does it work?**
It creates a brief summary, brings sources together, highlights risks, and suggests a first step and response owner. It does not publish independently; review and comment analysis can show whether the case is isolated or part of a wider issue.

✅ **Outcome**
- ready-to-use crisis summary with quotes and sources
- named owner and next step
- prevents uncontrolled automated responses

## Review suggestions

Shows a ready-to-use response directly beside the review in the portal.

Review suggestions bring a calibrated response into the user’s workspace.

📋 **How does it work?**
The browser extension recognises an open review and shows a suggestion, sources, risk level and alternative versions. The employee can edit and approve the content, while a complex case is sent to crisis support instead of receiving a standard suggestion.

✅ **Outcome**
- ready-to-use response beside the review
- visible sources and reason for the recommendation
- full human control over publication

## Comment suggestions

Shows a ready-to-use response directly beside the public comment.

Comment suggestions help users respond quickly without losing the context of the post and discussion.

📋 **How does it work?**
The extension reads the comment, post content and earlier replies in the thread. It shows a calibrated suggestion, sources and risk level, while allowing the user to edit or hand over the case before publication.

✅ **Outcome**
- ready-to-use response beside the comment
- post and full thread context included in the suggestion
- full human control over publication

## Escalation centre

Passes risky cases to the right person with full context.

The escalation centre collects cases that AI should not publish independently.

📋 **How does it work?**
Each case includes the reason for escalation, the original post, thread history, a brief summary, a suggested response, an owner and a deadline. Once a person has made a decision, it records how the case was resolved so that rules and response control can be improved.

✅ **Outcome**
- one queue for cases requiring a decision
- full context without manually gathering materials
- a closed loop between decisions and rule corrections

## Reputation bot

Automatically responds to routine reviews and comments.

The reputation bot handles public reactions only within approved boundaries.

📋 **How does it work?**
It publishes routine responses where the Central Reputation Panel has write access. On other portals, it prepares a ready-to-use version and opens the exact review or comment. Legal, safety, compensation, uncertain-fact or decision-making cases are passed to the escalation centre.

✅ **Outcome**
- automatic responses to safe, routine cases
- ready-to-use response and link where write access is unavailable
- immediate handover of exceptions to the right person

## Publishing analysis

Shows which topics, formats and publishing times deliver the best results.

Publishing analysis turns the hotel’s post history into a recurring performance report.

📋 **How does it work?**
It compares reach, engagement, clicks and other available results by topic, format, channel and publishing time. Each insight leads to specific posts, while a context interview can explain actions and changes not visible in the data alone.

✅ **Outcome**
- ranking of topics and formats
- best publishing times for each channel
- specific posts behind each result

## Reaction analysis

Explains which reactions and discussions individual posts generate.

Reaction analysis shows how audiences respond to specific brand content.

📋 **How does it work?**
It combines likes, shares, clicks and other available signals with post topics. The comment index can extend the report with questions, sentiment and recurring threads, without moving response handling into this area.

✅ **Outcome**
- reactions attributed to topics and posts
- content that sparks discussion made visible
- a list of questions and threads worth using in future posts

## Channel comparison

Compares the hotel’s activity with selected brands on each channel.

Channel comparison gives the team a specific benchmark for publishing frequency and format.

📋 **How does it work?**
It compares selected profiles by topic, format, consistency and publicly available reactions. It separates the hotel’s own account data from competitors’ limited data, while a context interview helps select the right brands and interpret differences.

✅ **Outcome**
- activity comparison for each channel
- formats and topics used more often by competitors
- areas where the hotel publishes too rarely or too similarly

## Opportunity radar

Highlights dates, events and offer changes worth using in posts.

The opportunity radar creates an up-to-date queue of reasons to prepare new content.

📋 **How does it work?**
It tracks the seasonal calendar, local events and offer changes visible on the hotel’s website. Additional sources and a context interview can add internal plans, promotions and events that are not yet public.

✅ **Outcome**
- opportunity calendar with preparation deadlines
- explanation of the relevance of each suggestion
- opportunities linked to the offer and the right channel

## Publishing rules

Sets content goals, frequency, restrictions and approval rules.

Publishing rules define how generators and automations operate on each channel.

📋 **How does it work?**
The hotel sets each channel’s role and goals, frequency, languages, length, calls to action, excluded topics and required approval level. Rules can be tested against historical posts; a context interview and brand book help refine their boundaries.

✅ **Outcome**
- one configuration for all generators
- clear publishing and autonomy boundaries
- content samples before the rules are approved

## Asset library

Organises photos, graphics and materials ready to use in posts.

The asset library is a searchable collection of resources intended for publication.

📋 **How does it work?**
It imports files from additional sources, recognises their content and describes the location, service, season, format and available usage rights information. Employees can filter assets, mark the best versions and block outdated or unauthorised files.

✅ **Result**
- one asset base for publication
- searches by content and intended use
- visible usage status and restrictions for every file

## Post generator

Conducts a short conversation and prepares ready-to-use post text variants.

The post generator helps employees move from a rough intention to finished content.

📋 **How does it work?**
The assistant asks about the objective, audience, offer, channel and desired action. It then creates several variants in line with the publication rules, shows the facts used and allows the text to be refined through conversation; analyses and the Opportunity Radar can help tailor the topic and format.

✅ **Result**
- ready-to-use text without starting from scratch
- variants tailored to the objective and channel
- visible sources for the information used

## Graphic generator

Turns an employee’s description into a finished graphic or asset variant.

The graphic generator takes employees from a visual intention to an asset ready for further editing.

📋 **How does it work?**
The assistant gathers the format, topic, required elements and restrictions, then generates a graphic or prepares a variant based on assets from the library. It preserves the brief, versions and link to the publication; results and channel comparisons can help select a more effective format.

✅ **Result**
- a graphic prepared in the required format
- variants based on approved assets
- a history of briefs, versions and assets used

## Content calendar

Brings topics, channels and dates together in one publication plan.

The content calendar turns ideas and opportunities into a clear team work plan.

📋 **How does it work?**
It displays the plan by day, channel, objective and status. It highlights empty periods, topic clashes and deadlines for preparing assets, while selected items can be opened directly in the generator; responses and channel comparisons help assess the plan’s balance.

✅ **Result**
- one publication plan for all channels
- visible gaps and topic clashes
- deadlines for preparation, approval and publication

## Content review

Checks facts, tone, repetition and post compliance before publication.

Content review is a shared quality gate for assets created by AI and employees.

📋 **How does it work?**
It compares text and graphics with approved sources, rules and publication history. It flags uncertain facts, unauthorised promises, language errors, overly similar posts and missing elements; comments, channel comparisons and the library can extend the scope of the review.

✅ **Result**
- a specific list of issues before publication
- a revised version with an explanation of the changes
- one content review history for AI and employee-created content

## Publication suggestions

Creates a queue of ready-to-review posts and graphics for approval or revision.

Publication suggestions move from on-demand tools to proactive content preparation.

📋 **How does it work?**
The system selects items from the calendar, prepares the text and graphic, and conducts a content review. Each suggestion shows the objective, channel, date, sources and reason for the suggestion, while employees can approve, edit, reschedule or reject it.

✅ **Result**
- a queue of complete publication suggestions
- less manual initiation of generator tasks
- full control over every suggestion

## Channel adaptation

Prepares separate versions of one publication for each channel.

Channel adaptation lets you use one idea without copying identical content across profiles.

📋 **How does it work?**
It adapts the length, text structure, call to action, tags and asset format to the supported channels while preserving the shared message. Each variant undergoes a content review; the calendar can suggest the publication order, while LinkedIn Bot can add a version for an employee’s personal profile.

✅ **Result**
- a separate variant for each channel
- a consistent message without mechanical copying
- formats and calls to action tailored to the publication channel

## Results dashboard

Brings the plan, publications and results together in one view for further optimisation.

The results dashboard shows what was published and what effect each item in the plan produced.

📋 **How does it work?**
It combines the calendar with the actual dates, formats and post results. It lets users filter data by channel, objective, topic and period, open the publications behind a metric and compare them with other channels.

✅ **Result**
- the result of each publication linked to the plan
- comparison of channels, topics and formats
- specific data for the next content cycle

## Publication bot

Plans, creates and publishes content independently within approved boundaries.

The publication bot manages the entire repeatable cycle of creating new social media content.

📋 **How does it work?**
It organises the calendar, prepares text and graphics, adapts them to the channels, checks quality and publishes permitted content through the Central Publishing Panel. New campaigns, uncertain facts and materials outside the agreed scope are referred for approval. It does not respond to comments or reviews — this process remains within “Marketing - Brand”.

✅ **Result**
- regular publications without manually overseeing every step
- controlled autonomy based on approved rules
- a closed loop between planning, publication and results

## Stay notifications

Sends guests up-to-date information and opportunities related to their stay.

The module allows the hotel to send push notifications to guests using the guest guide.

📋 **How does it work?**
An employee selects the recipients, sending time and message content — for example, information about availability at the spa, a restaurant promotion or an operational change. Notifications are received only by guests who have activated them in the guest guide.

✅ **Result**
- fast contact with guests on the property
- better use of available services
- control over notification content and recipients

## Guest requests

Lets guests report faults and provide feedback directly from the guest guide.

The request section gives guests a simple way to report a problem during their stay.

📋 **How does it work?**
The guest selects a category, describes the issue and can optionally add a photo. The request retains the context of the stay, the time and contact details, then goes to the designated service point.

✅ **Result**
- fewer problems reported only after departure
- fuller context for every issue
- a faster opportunity for the hotel to respond

## AI concierge

Answers guest questions about their stay and the property.

AI concierge is the core assistant available in the guest guide.

📋 **How does it work?**
The guest asks a question in their own words, and the assistant uses the AI Platform and approved stay information. When no reliable answer is available, it directs the guest to the relevant staff contact instead of guessing.

✅ **Result**
- answers available around the clock
- fewer repetitive questions for reception
- safe handover of complex matters to a member of staff

## Remote check-in

Collects check-in details before arrival and prepares the registration card.

Remote check-in moves check-in formalities to before the guest arrives at the hotel.

📋 **How does it work?**
After the booking is confirmed, the system retrieves stay context from the PMS, and the Central Communication Hub sends a form to the guest’s email address. Once it has been completed, the guest receives a stay-linked guest guide, while reception receives a completed check-in card for review. The booking engine can start this process immediately after a direct booking.

✅ **Result**
- faster service on arrival
- less manual data entry
- guest guide available before the stay

## Location analysis

Shows which hotel spaces and attractions guests use.

This module helps analyse how guests use the property and its surroundings.

📋 **How does it work?**
When location sharing is enabled voluntarily, the guest guide collects only the agreed scope of data. Results are presented in aggregate, showing the popularity of spaces, changes in footfall after renovations and the most visited attractions nearby. Guests can stop sharing at any time.

✅ **Result**
- a map of space usage
- comparison of the impact of property changes
- insight into guests’ interests outside the hotel

## Guest incentives

Increases the number of active guest-guide and notification users.

This module enables the hotel to offer small benefits for activating selected guest-guide features.

📋 **How does it work?**
The hotel defines a simple incentive, such as a drink after scanning a QR code or enabling notifications. The guest guide displays the terms and redemption method, while consent to notifications or location sharing remains a separate, revocable guest decision.

✅ **Result**
- more active guest-guide users
- clear terms for redeeming benefits
- separate control over each consent

## Satisfaction surveys

Requests a brief rating at the right point in the guest’s stay.

Surveys help identify satisfaction and problems before the guest leaves the property.

📋 **How does it work?**
Based on the stage of the stay, the module chooses the right moment and sends a short survey via a notification. Responses are linked to the stay and organised by ratings and topics; an incentive may increase participation but is not required.

✅ **Result**
- more feedback during the stay
- faster detection of problems
- ratings linked to the stage of the stay

## Service ordering

Lets guests order available services directly in a conversation with AI concierge.

This module extends AI concierge with the ability to place stay-related orders.

📋 **How does it work?**
The guest describes what they need or selects a service in the guest guide. AI concierge collects the required details, displays a summary and, after confirmation, links the order to the correct stay and passes it on for fulfilment.

✅ **Result**
- a shorter route to ordering services
- orders linked to the correct stay
- fewer phone calls and less manual data entry

## In-stay upselling

Extends AI concierge with contextual suggestions for additional services.

This module enables AI concierge to proactively suggest services tailored to the guest’s stay.

📋 **How does it work?**
The concierge selects approved suggestions and sends them at suitable times, such as a restaurant recommendation at mealtime or a bicycle-hire suggestion after the guest has left the property. Location, incentives and PMS data may improve relevance, but the basic time-based rules work without them.

✅ **Result**
- more relevant suggestions during the stay
- better use of additional services
- control over contact rules and frequency

## Property highlights

Displays content related to the location where the QR code was scanned.

This module extends the guest guide with local stories, tips and context about specific spaces.

📋 **How does it work?**
A QR code placed at a particular location opens the guest guide with additional content about the view, the history of part of the property or a nearby service. Context interviews provide knowledge not found in standard materials, while location data can automatically tailor the content.

✅ **Result**
- more engaging discovery of the property
- contextual promotion of nearby services
- preservation of the location’s history and character

## Stay dashboard

Brings current stays, requests, orders and ratings together in one view.

The stay dashboard gives the team an up-to-date view of guest service for guests using the guest guide.

📋 **How does it work?**
It shows check-in status, guest requests, service orders, survey responses and actions requiring attention. Each matter retains its stay context, owner and service history.

✅ **Result**
- one view of current guest service
- faster identification of matters requiring attention
- full context for guest interactions

## Stay personalisation

Tailors answers, services and content to the individual guest.

This module uses the course of the stay to personalise information and recommendations.

📋 **How does it work?**
It combines the AI concierge conversation, available services, responses to suggestions and contextual content. On this basis, it selects the right message, recommendation or highlight without changing the approved rules of the offer.

✅ **Result**
- more relevant recommendations during the stay
- fewer untargeted messages
- a consistent guest-guide experience

## Micro-surveys

Collects brief feedback immediately after the guest uses a specific service.

Micro-surveys enable more precise measurement of the guest experience than a single end-of-stay survey.

📋 **How does it work?**
After the guest orders or uses a promoted service, the module sends one or more brief questions tailored to its type. It uses the survey, ordering and upselling functionality, linking the response to the specific service and point in the stay.

✅ **Result**
- more precise feedback on individual services
- faster identification of weak points
- less effort for the guest

## Stay manager

Independently coordinates the guest’s digital service within the agreed scope.

Stay manager combines the dashboard, personalisation and micro-surveys into one continuous process.

📋 **How does it work?**
It monitors the stay, responds through Concierge AI, handles permitted requests, selects messages and surveys, and responds to detected issues. It operates strictly according to approved rules, while unusual, sensitive or decision-dependent matters are passed to a member of staff.

✅ **Result**
- continuous guest service through one channel
- less manual oversight of repetitive tasks
- controlled autonomy with a decision history

## AI chat

Answers common questions in the chat widget on the website.

AI chat is the first line of response in a standard widget on the hotel website.

📋 **How does it work?**
The widget sends the question to the AI Platform, which finds an answer in approved sources and records the conversation in the Communication Hub. Users can request contact with a member of staff at any time.

✅ **Result**
- instant answers on the website
- complete chat history in one dashboard
- safe handover to a member of staff

## AI messaging

Answers private messages on social media and WhatsApp.

AI messaging handles the first line of private messages on Facebook, Instagram and WhatsApp.

📋 **How does it work?**
The AI Platform identifies the question, prepares a response from approved knowledge and continues the private thread in the channel used by the guest. The conversation and the point at which it is handed to a member of staff are visible in the Communication Hub; public comments remain part of a separate reputation process.

✅ **Result**
- faster handling of private messages
- consistent responses across multiple messaging platforms
- one conversation and escalation history

## Email suggestions

Prepares ready-to-review and send responses for reception staff.

The module prepares response suggestions directly alongside the email message.

📋 **How does it work?**
It analyses the current thread, contact history and the property’s approved knowledge. The suggestion appears in the email client, where a member of staff can edit, accept or reject it; the decision is visible in the Communication Hub.

✅ **Result**
- less time spent writing replies from scratch
- consistent knowledge in reception correspondence
- full staff control over sending

## Call rescue

Answers a call when reception cannot do so in time.

The module activates the Voice Bot only when a call remains unanswered.

📋 **How does it work?**
After a set period, it forwards the call to a voice agent operating on a dedicated VoIP number or through a switchboard with SIP trunking. The agent responds within the approved scope, records a transcript and passes conversations requiring further action to reception.

✅ **Result**
- fewer missed calls
- basic support outside reception hours
- transcripts and next steps in the dashboard

## Portal suggestions

Suggests responses in operational web portals.

Portal suggestions are an AI layer for service systems that cannot be connected as a separate channel.

📋 **How does it work?**
A browser extension reads the visible conversation or record in a CRM, booking or administrative system and displays a response suggestion in the same view. A member of staff approves the content before sending, and the action can be recorded in the Communication Hub; reviews and public comments are handled by the “Marketing – Brand” area.

✅ **Result**
- a ready-made response without copying content
- support for systems without a dedicated integration
- staff control over every message sent

## Review chat

Allows website visitors to ask questions about guest reviews.

Review chat combines rating summaries with natural-language search across reviews.

📋 **How does it work?**
A small website widget displays average ratings from connected portals and responds solely on the basis of indexed reviews. When asked a question such as “what do guests say about breakfast?”, it summarises recurring opinions and identifies their sources.

✅ **Result**
- clear rating summaries on the website
- answers based on real reviews
- easier discovery of feedback about specific services

## Information kiosk

Provides the guest guide and contact with staff on an on-site screen.

The information kiosk brings the guest guide to a self-service screen located on the property.

📋 **How does it work?**
Guests can browse information, search for an answer or start a conversation without using their own phone. Questions are sent to the Communication Hub, allowing a member of staff to take over the conversation through the same process as the other channels.

✅ **Result**
- access to information without a personal device
- a new contact point in the hotel space
- kiosk conversations visible in the central dashboard

## Knowledge gaps

Identifies questions for which AI did not find a reliable answer.

The module turns unanswered guest questions into an organised queue of knowledge gaps.

📋 **How does it work?**
It detects answers that were rejected, passed to a member of staff or based on sources that were too weak. It groups similar questions, shows the channel and a quote from the conversation, and allows an owner to be assigned to fill the knowledge gap.

✅ **Result**
- a transparent list of missing information
- priorities based on real questions
- a shorter path from escalation to improved knowledge

## Sentiment analysis

Measures guest sentiment and identifies topics that trigger emotions.

Sentiment analysis examines the tone of conversations and short survey questions by selected topic.

📋 **How does it work?**
It classifies the speaker’s sentiment and how it changes during the interaction, dividing results between areas such as booking, breakfast and service. Staff can filter by channels, periods and topics, and return to the conversations behind each result.

✅ **Result**
- sentiment visible by topic and channel
- faster detection of emerging issues
- the specific conversations behind every result

## Quality control

Audits AI and staff responses against shared criteria.

Quality control extends the dashboard with conversation samples, assessments and a response-correction workflow.

📋 **How does it work?**
It checks compliance with the knowledge base, completeness, tone, response time and the accuracy of escalations. Audits can cover both AI and staff responses, and every breach leads to the relevant conversation, criterion and recommended action.

✅ **Result**
- consistent quality across all channels
- rapid detection of incorrect responses
- a clear history of audits and corrections

## Conversation continuity

Keeps track of context, handovers and unfinished threads.

Conversation continuity keeps each issue together, even when the channel or staff member handling it changes.

📋 **How does it work?**
It links messages about the same need, records decisions and the next step, and reminds staff about conversations left unanswered. When a staff member takes over or a guest returns through another channel, it shows a brief summary of the conversation so far.

✅ **Result**
- fewer lost and duplicated conversations
- context available at every handover
- a visible queue of unfinished issues

## Email automation

Handles routine emails independently within defined boundaries.

Email automation moves from suggestions to sending messages without requiring approval for each one.

📋 **How does it work?**
It replies independently only to recognised types of enquiry where reliable knowledge, an approved quality standard and a clear next step are available. Messages involving a knowledge gap, negative sentiment, an unusual request or a business decision are passed to a staff member.

✅ **Result**
- automatic handling of repetitive emails
- clear sending and escalation rules
- a complete history of decisions and replies

## Telephony automation

Handles routine telephone conversations independently.

Telephony automation extends call recovery to the full handling of approved types of conversation.

📋 **How does it work?**
The voice agent answers calls on a dedicated VoIP number or through a PBX with a SIP trunk, identifies the issue and follows an approved script. If knowledge is missing, the caller expects a decision or a risk arises, the agent transfers the call or creates an urgent task for a staff member.

✅ **Result**
- 24/7 handling of routine calls
- controlled transfer of difficult conversations
- recordings, transcriptions and decisions in the dashboard

## Conversation dashboard

Shows topics, sentiment, quality and workload across all channels.

The conversation dashboard turns the shared contact history into an analytical layer for the property.

📋 **How does it work?**
It brings together conversation volume, response time, topics, knowledge gaps, sentiment, reply quality and the number of escalations. Users can filter data by channel, period, topic and team, and open each metric to view the source conversations.

✅ **Result**
- one view of the property’s entire communication
- measurable topics and reasons for escalation
- data for planning knowledge and staffing

## Communication agent

Handles all routine property conversations independently.

The communication agent coordinates text and voice channels within the boundaries approved by the hotel.

📋 **How does it work?**
It handles conversations that can be resolved using available knowledge, permissions and approved rules. It maintains continuity across channels, monitors quality and learns from flagged gaps; requests requiring new information, a decision, empathy or human action are passed to the right person with full context.

✅ **Result**
- routine conversations handled without staff involvement
- one service logic across all channels
- immediate escalation of issues requiring human attention

Source page: [CogniVis - AI implementation roadmap for hotels](https://cognivis.ai/hotels/tailored/roadmap/)