World’s Best AI Hotel Workers
AI Search
Leo monitors AI Search performance across key LLMs and Search Tools. He ranks a property against Primary and Secondary Comp Set, indicates what’s working (and what’s not). And gives actionable tips that the hotel can quickly put in practice.
By solving this problem a hotel can significantly increase direct bookings, adding significantly to the bottom line
Accounting Manger
Take credit card reconciliation, Charles will compare your PSP records with your transactions in seconds. Imagine your team only having to look at only the 50 mismatches not find them among the 10,000 rows. This is how we take reconciliation from 6-hours a day, to just a few minutes, meaning your team has time to fix the problems.
AI Guest Experience Manager
Rebecca picks up communications across all channels at the point of booking confirmation. She’ll make sure preferences and special requests are noted, actioned and available for the next time the guest visits (wherever in the world). She also allows guests to tell you their feedback first - she’ll triage feedback and either pass along to relevant staff or she’ll report internally for management review.
AI Employee Search Assistant
Sofia knows all the policies intimately. She can answer the most detailed question from an SOP immediately, in a range of languages, via multiple channels, all day every day.
So if staff want to know what time their shift starts or what colour nail polish is permissible for a restaurant service, leave that to Sofia - she’s got it covered.
AI Receptionist
Filipa takes all this in her stride. Parallel call, multi-language support are standard. She can connect to internal booking systems and reach outside parties to confirm taxis or advise on local events or tickets. She will take a request for housekeeping service and stream to the right team member (in their preferred language).
Reservation Manager
Claire is a great team player. She works autonomously or in co-pilot mode. She can multi-task with multiple incoming requests, access CRM, RMS and PMS for the best offer to fit the guest’s needs.
She also applies the selection rules 100% of the time. And she’s available 24 hours a day without flagging.
AI Revenue Manager
Helen works with leading RMS providers (or on her own) to help solve these problems by putting information at the fingertips of those who make the final decision on rates.
She’ll constantly monitor for activity that may affect pricing and she’ll update relevant systems (RMS or PMS) with the optimal pricing.
AI Purchasing Manager
Anton can help bridge this gap from both sides. He can be in regular contact with operations, facilities and housekeeping to ensure stocks are always up-to-date. He’ll calculate depletion times and notify staff based on thresholds they set.
He’ll also monitor approved sources to consistently check for best price and availability.
AI Search
Leo monitors AI Search performance across key LLMs and Search Tools. He ranks a property against Primary and Secondary Comp Set, indicates what’s working (and what’s not). And gives actionable tips that the hotel can quickly put in practice.
By solving this problem a hotel can significantly increase direct bookings, adding significantly to the bottom line
Accounting Manger
Take credit card reconciliation, Charles will compare your PSP records with your transactions in seconds. Imagine your team only having to look at only the 50 mismatches not find them among the 10,000 rows. This is how we take reconciliation from 6-hours a day, to just a few minutes, meaning your team has time to fix the problems.
AI Guest Experience Manager
Rebecca picks up communications across all channels at the point of booking confirmation. She’ll make sure preferences and special requests are noted, actioned and available for the next time the guest visits (wherever in the world). She also allows guests to tell you their feedback first - she’ll triage feedback and either pass along to relevant staff or she’ll report internally for management review.
AI Employee Search Assistant
Sofia knows all the policies intimately. She can answer the most detailed question from an SOP immediately, in a range of languages, via multiple channels, all day every day.
So if staff want to know what time their shift starts or what colour nail polish is permissible for a restaurant service, leave that to Sofia - she’s got it covered.
AI Receptionist
Filipa takes all this in her stride. Parallel call, multi-language support are standard. She can connect to internal booking systems and reach outside parties to confirm taxis or advise on local events or tickets. She will take a request for housekeeping service and stream to the right team member (in their preferred language).
Reservation Manager
Claire is a great team player. She works autonomously or in co-pilot mode. She can multi-task with multiple incoming requests, access CRM, RMS and PMS for the best offer to fit the guest’s needs.
She also applies the selection rules 100% of the time. And she’s available 24 hours a day without flagging.
AI Revenue Manager
Helen works with leading RMS providers (or on her own) to help solve these problems by putting information at the fingertips of those who make the final decision on rates.
She’ll constantly monitor for activity that may affect pricing and she’ll update relevant systems (RMS or PMS) with the optimal pricing.
AI Purchasing Manager
Anton can help bridge this gap from both sides. He can be in regular contact with operations, facilities and housekeeping to ensure stocks are always up-to-date. He’ll calculate depletion times and notify staff based on thresholds they set.
He’ll also monitor approved sources to consistently check for best price and availability.
Our goal is to free them from mundane administrative tasks, allowing them to focus on what truly matters.
AI Receptionist
Filipa takes all this in her stride. Parallel call, multi-language support are standard. She can connect to internal booking systems and reach outside parties to confirm taxis or advise on local events or tickets. She will take a request for housekeeping service and stream to the right team member (in their preferred language).
Reservation Manager
Claire is a great team player. She works autonomously or in co-pilot mode. She can multi-task with multiple incoming requests, access CRM, RMS and PMS for the best offer to fit the guest’s needs.
She also applies the selection rules 100% of the time. And she’s available 24 hours a day without flagging.
AI Revenue Manager
Helen works with leading RMS providers (or on her own) to help solve these problems by putting information at the fingertips of those who make the final decision on rates.
She’ll constantly monitor for activity that may affect pricing and she’ll update relevant systems (RMS or PMS) with the optimal pricing.
AI Purchasing Manager
Anton can help bridge this gap from both sides. He can be in regular contact with operations, facilities and housekeeping to ensure stocks are always up-to-date. He’ll calculate depletion times and notify staff based on thresholds they set.
He’ll also monitor approved sources to consistently check for best price and availability.
AI Search
Leo monitors AI Search performance across key LLMs and Search Tools. He ranks a property against Primary and Secondary Comp Set, indicates what’s working (and what’s not). And gives actionable tips that the hotel can quickly put in practice.
By solving this problem a hotel can significantly increase direct bookings, adding significantly to the bottom line
Accounting Manger
Take credit card reconciliation, Charles will compare your PSP records with your transactions in seconds. Imagine your team only having to look at only the 50 mismatches not find them among the 10,000 rows. This is how we take reconciliation from 6-hours a day, to just a few minutes, meaning your team has time to fix the problems.
AI Guest Experience Manager
Rebecca picks up communications across all channels at the point of booking confirmation. She’ll make sure preferences and special requests are noted, actioned and available for the next time the guest visits (wherever in the world). She also allows guests to tell you their feedback first - she’ll triage feedback and either pass along to relevant staff or she’ll report internally for management review.
AI Employee Search Assistant
Sofia knows all the policies intimately. She can answer the most detailed question from an SOP immediately, in a range of languages, via multiple channels, all day every day.
So if staff want to know what time their shift starts or what colour nail polish is permissible for a restaurant service, leave that to Sofia - she’s got it covered.
AI Receptionist
Filipa takes all this in her stride. Parallel call, multi-language support are standard. She can connect to internal booking systems and reach outside parties to confirm taxis or advise on local events or tickets. She will take a request for housekeeping service and stream to the right team member (in their preferred language).
Reservation Manager
Claire is a great team player. She works autonomously or in co-pilot mode. She can multi-task with multiple incoming requests, access CRM, RMS and PMS for the best offer to fit the guest’s needs.
She also applies the selection rules 100% of the time. And she’s available 24 hours a day without flagging.
AI Revenue Manager
Helen works with leading RMS providers (or on her own) to help solve these problems by putting information at the fingertips of those who make the final decision on rates.
She’ll constantly monitor for activity that may affect pricing and she’ll update relevant systems (RMS or PMS) with the optimal pricing.
AI Purchasing Manager
Anton can help bridge this gap from both sides. He can be in regular contact with operations, facilities and housekeeping to ensure stocks are always up-to-date. He’ll calculate depletion times and notify staff based on thresholds they set.
He’ll also monitor approved sources to consistently check for best price and availability.
AI Search
Leo monitors AI Search performance across key LLMs and Search Tools. He ranks a property against Primary and Secondary Comp Set, indicates what’s working (and what’s not). And gives actionable tips that the hotel can quickly put in practice.
By solving this problem a hotel can significantly increase direct bookings, adding significantly to the bottom line
Accounting Manger
Take credit card reconciliation, Charles will compare your PSP records with your transactions in seconds. Imagine your team only having to look at only the 50 mismatches not find them among the 10,000 rows. This is how we take reconciliation from 6-hours a day, to just a few minutes, meaning your team has time to fix the problems.
AI Guest Experience Manager
Rebecca picks up communications across all channels at the point of booking confirmation. She’ll make sure preferences and special requests are noted, actioned and available for the next time the guest visits (wherever in the world). She also allows guests to tell you their feedback first - she’ll triage feedback and either pass along to relevant staff or she’ll report internally for management review.
AI Employee Search Assistant
Sofia knows all the policies intimately. She can answer the most detailed question from an SOP immediately, in a range of languages, via multiple channels, all day every day.
So if staff want to know what time their shift starts or what colour nail polish is permissible for a restaurant service, leave that to Sofia - she’s got it covered.
AI Receptionist
Filipa takes all this in her stride. Parallel call, multi-language support are standard. She can connect to internal booking systems and reach outside parties to confirm taxis or advise on local events or tickets. She will take a request for housekeeping service and stream to the right team member (in their preferred language).
Reservation Manager
Claire is a great team player. She works autonomously or in co-pilot mode. She can multi-task with multiple incoming requests, access CRM, RMS and PMS for the best offer to fit the guest’s needs.
She also applies the selection rules 100% of the time. And she’s available 24 hours a day without flagging.
AI Revenue Manager
Helen works with leading RMS providers (or on her own) to help solve these problems by putting information at the fingertips of those who make the final decision on rates.
She’ll constantly monitor for activity that may affect pricing and she’ll update relevant systems (RMS or PMS) with the optimal pricing.
AI Purchasing Manager
Anton can help bridge this gap from both sides. He can be in regular contact with operations, facilities and housekeeping to ensure stocks are always up-to-date. He’ll calculate depletion times and notify staff based on thresholds they set.
He’ll also monitor approved sources to consistently check for best price and availability.
Hotel Management companies, owners, brand and resorts trust HotelWorld AI Workers, to improve their operational efficiency, speed up decision making and ultimately grow profitability.
AI Receptionist
Filipa takes all this in her stride. Parallel call, multi-language support are standard. She can connect to internal booking systems and reach outside parties to confirm taxis or advise on local events or tickets. She will take a request for housekeeping service and stream to the right team member (in their preferred language).
Reservation Manager
Claire is a great team player. She works autonomously or in co-pilot mode. She can multi-task with multiple incoming requests, access CRM, RMS and PMS for the best offer to fit the guest’s needs.
She also applies the selection rules 100% of the time. And she’s available 24 hours a day without flagging.
AI Revenue Manager
Helen works with leading RMS providers (or on her own) to help solve these problems by putting information at the fingertips of those who make the final decision on rates.
She’ll constantly monitor for activity that may affect pricing and she’ll update relevant systems (RMS or PMS) with the optimal pricing.
AI Purchasing Manager
Anton can help bridge this gap from both sides. He can be in regular contact with operations, facilities and housekeeping to ensure stocks are always up-to-date. He’ll calculate depletion times and notify staff based on thresholds they set.
He’ll also monitor approved sources to consistently check for best price and availability.
AI Search
Leo monitors AI Search performance across key LLMs and Search Tools. He ranks a property against Primary and Secondary Comp Set, indicates what’s working (and what’s not). And gives actionable tips that the hotel can quickly put in practice.
By solving this problem a hotel can significantly increase direct bookings, adding significantly to the bottom line
Accounting Manger
Take credit card reconciliation, Charles will compare your PSP records with your transactions in seconds. Imagine your team only having to look at only the 50 mismatches not find them among the 10,000 rows. This is how we take reconciliation from 6-hours a day, to just a few minutes, meaning your team has time to fix the problems.
AI Guest Experience Manager
Rebecca picks up communications across all channels at the point of booking confirmation. She’ll make sure preferences and special requests are noted, actioned and available for the next time the guest visits (wherever in the world). She also allows guests to tell you their feedback first - she’ll triage feedback and either pass along to relevant staff or she’ll report internally for management review.
AI Employee Search Assistant
Sofia knows all the policies intimately. She can answer the most detailed question from an SOP immediately, in a range of languages, via multiple channels, all day every day.
So if staff want to know what time their shift starts or what colour nail polish is permissible for a restaurant service, leave that to Sofia - she’s got it covered.
AI Receptionist
Filipa takes all this in her stride. Parallel call, multi-language support are standard. She can connect to internal booking systems and reach outside parties to confirm taxis or advise on local events or tickets. She will take a request for housekeeping service and stream to the right team member (in their preferred language).
Reservation Manager
Claire is a great team player. She works autonomously or in co-pilot mode. She can multi-task with multiple incoming requests, access CRM, RMS and PMS for the best offer to fit the guest’s needs.
She also applies the selection rules 100% of the time. And she’s available 24 hours a day without flagging.
AI Revenue Manager
Helen works with leading RMS providers (or on her own) to help solve these problems by putting information at the fingertips of those who make the final decision on rates.
She’ll constantly monitor for activity that may affect pricing and she’ll update relevant systems (RMS or PMS) with the optimal pricing.
AI Purchasing Manager
Anton can help bridge this gap from both sides. He can be in regular contact with operations, facilities and housekeeping to ensure stocks are always up-to-date. He’ll calculate depletion times and notify staff based on thresholds they set.
He’ll also monitor approved sources to consistently check for best price and availability.
AI Search
Leo monitors AI Search performance across key LLMs and Search Tools. He ranks a property against Primary and Secondary Comp Set, indicates what’s working (and what’s not). And gives actionable tips that the hotel can quickly put in practice.
By solving this problem a hotel can significantly increase direct bookings, adding significantly to the bottom line
Accounting Manger
Take credit card reconciliation, Charles will compare your PSP records with your transactions in seconds. Imagine your team only having to look at only the 50 mismatches not find them among the 10,000 rows. This is how we take reconciliation from 6-hours a day, to just a few minutes, meaning your team has time to fix the problems.
AI Guest Experience Manager
Rebecca picks up communications across all channels at the point of booking confirmation. She’ll make sure preferences and special requests are noted, actioned and available for the next time the guest visits (wherever in the world). She also allows guests to tell you their feedback first - she’ll triage feedback and either pass along to relevant staff or she’ll report internally for management review.
AI Employee Search Assistant
Sofia knows all the policies intimately. She can answer the most detailed question from an SOP immediately, in a range of languages, via multiple channels, all day every day.
So if staff want to know what time their shift starts or what colour nail polish is permissible for a restaurant service, leave that to Sofia - she’s got it covered.
AI Receptionist
Filipa takes all this in her stride. Parallel call, multi-language support are standard. She can connect to internal booking systems and reach outside parties to confirm taxis or advise on local events or tickets. She will take a request for housekeeping service and stream to the right team member (in their preferred language).
Reservation Manager
Claire is a great team player. She works autonomously or in co-pilot mode. She can multi-task with multiple incoming requests, access CRM, RMS and PMS for the best offer to fit the guest’s needs.
She also applies the selection rules 100% of the time. And she’s available 24 hours a day without flagging.
AI Revenue Manager
Helen works with leading RMS providers (or on her own) to help solve these problems by putting information at the fingertips of those who make the final decision on rates.
She’ll constantly monitor for activity that may affect pricing and she’ll update relevant systems (RMS or PMS) with the optimal pricing.
AI Purchasing Manager
Anton can help bridge this gap from both sides. He can be in regular contact with operations, facilities and housekeeping to ensure stocks are always up-to-date. He’ll calculate depletion times and notify staff based on thresholds they set.
He’ll also monitor approved sources to consistently check for best price and availability.
ROI to be generated in the first year
Savings on labor costs per hotel
Increase in EBITDA per hotel
System integrations
AI workers that transform how hotels operate