More Ways to Transform Your Hotel Operations
Expert insights, case studies, and strategies from hotels using AI to boost revenue and delight guests
Two years ago, AI voice in hotels was a novelty. Today, it’s a category. Properties of all sizes — from 20-room boutiques to 500-room branded properties — are deploying AI voice to answer calls, book rooms, and handle guest inquiries around the clock.
The shift is happening fast. 45% of new chatbot deployments now include voice capabilities, and that number is expected to reach 78% by the end of 2026 (Nextiva). Here’s what’s driving the adoption, where the industry stands, and what hotel operators need to know before making a decision.
AI voice adoption in hospitality isn’t hype — it’s backed by measurable results across the industry:
In September 2025, Mews surveyed 18 hospitality experts — CEOs, heads of hotels, analysts, and tech leaders from Stripe, Deloitte, Booking.com, SiteMinder, Revinate, Skift, Dorchester Collection, and others — asking them to score the likelihood, desirability, and impact of specific AI scenarios over the next 10 years. The results form one of the most structured industry forecasts available, and they point in a clear direction.
Four scenarios stood out:
| Scenario | Likelihood (0-10) | Expert consensus |
|---|---|---|
| Generative AI chatbots fully integrate travel ecosystems (bookings, flights, experiences in one transaction) | 9.4 | Near-unanimous |
| Back-office automation handles 50%+ of hotel admin tasks (invoicing, scheduling, guest inquiries) | 9.0 | Near-unanimous |
| Mobile stays become standard in midscale and upscale (check-in, room unlock, services, check-out without human interaction) | 8.4 | Strong |
| Frontline roles evolve to focus almost entirely on soft skills as transactional tasks automate | 8.3 | Strong |
The experts also rated AI’s current impact on each stage of the guest journey. 81% said AI impact on Discovery is already “very high,” and 69% said the same for Search. Booking, pre-stay, and in-stay are close behind.
1. Discovery is collapsing into a single AI conversation. According to research cited in the Mews report, 29% of Americans now use AI for travel research and 21% trust AI to build detailed itineraries (Talker Research). AI is already the fastest-growing source of travel inspiration, ahead of newspapers, TV, and high-street agents. Chris Hemmeter, Managing Partner at Thayer Investment Partners, put it bluntly in the report: “If hotels fail to manage their data, they will be invisible.”
The practical implication: your hotel’s visibility in ChatGPT, Perplexity, and Google AI Overviews will depend on whether your content is structured, consistent, and well-connected across channels. That’s a data and operations problem, not a marketing one.
2. The front desk is leaking loyalty. A statistic from the Mews report that every independent operator should sit with: 59% of guests go unrecognized as returning guests at check-in, and 20% take their business elsewhere afterward. That’s not an AI problem — it’s a data problem that AI can fix. Unified guest profiles, structured preferences, and accessible history turn every interaction into a recognition moment instead of a friction moment.
3. Back-office is where agentic AI wins first. When the Mews panel rated functions by readiness for full AI delegation, the top scores went to guest communications (4.6/5), housekeeping and maintenance scheduling (4.3), reporting (4.2), and revenue management (4.1). Procurement scored lowest at 2.9. The early wins are exactly the repetitive operations where hotels already feel the most pain.
64.9% of hotels report ongoing staffing challenges, with 9% describing themselves as severely understaffed (AHLA/Hireology). Labor costs per occupied room are up 9.0% year-over-year to $7.32 (HotelData.com), and labor represents 30-45% of total hotel operating expenses (Hospitality Institute).
Hotels can’t hire their way out of this. AI voice isn’t replacing staff — it’s making existing staff go further. When the AI handles the routine calls (“What’s the Wi-Fi password?” “What time is checkout?” “Do you have rooms this weekend?”), your team can focus on the interactions that require human warmth and judgment.
Travelers are accustomed to instant service in every other area of their lives. They order food, book flights, and get customer support through AI-powered tools without thinking twice. Being put on hold or sent to voicemail when calling a hotel feels increasingly outdated.
The data confirms this: 62% of travelers prefer AI-powered tools for hotel inquiries. At the same time, 70% of guests find chatbots helpful for simple requests but prefer humans for complex issues (Canary Technologies). The best AI voice implementations respect this — handling routine questions automatically while routing complex situations to staff.
OTA commission rates of 15-25% make every missed direct booking expensive. As OTA dominance grows, independent hotels are looking for any lever to capture more direct revenue. AI voice turns previously unanswered calls — especially after-hours — into direct bookings without commission.
Independent hotels are the fastest adopters. Without brand mandates or technology approval committees, they can evaluate and deploy AI voice in days. These properties also feel the staffing squeeze most acutely — they don’t have the luxury of a 24/7 reservations call center. AI voice fills a genuine gap.
Select-service branded properties (Marriott Select, Hilton Focused Service, Wyndham, IHG) are increasingly adopting AI voice for after-hours and overflow. Their front desks are smaller by design, which means more calls per staff member and more need for AI backup.
Full-service and luxury properties are more cautious, and the Mews expert panel data explains why. When asked which guest interactions must remain human-delivered, the split by segment is dramatic:
| Touchpoint | Midscale / economy | Luxury |
|---|---|---|
| Waiting staff in bar or restaurant | 38% | 88% |
| Front desk welcome / check-in | 13% | 81% |
| Concierge / personal recommendations | 0% | 75% |
| Housekeeping | 6% | 25% |
| Check-out | 0% | 13% |
For luxury operators, the instinct to keep AI invisible is rational — 81% of experts believe front desk check-in must stay human in a luxury context. But for midscale and select-service, the picture flips. Only 13% of experts say the front desk must stay human in those segments, which means AI voice isn’t a threat to the brand — it’s an operational upgrade that guests increasingly expect.
The best implementations in every segment respect this line. Staff answers first; AI steps in when no one is available. The guest gets help instead of voicemail. That’s not a downgrade — it’s a safety net.
The hotel AI voice market is split between two types of vendors:
Companies like Retell AI, Fonio.ai, Goodcall, and ElevenLabs offer voice AI technology that handles phone conversations. These tools are powerful at the call-answering layer but typically don’t include hotel operations features — no guest messaging, no housekeeping management, no staff collaboration. A caller’s request lives in the voice system and has to be manually relayed to your operations.
Platforms like HelloShift build AI voice as part of a complete hotel operations system. When the AI takes a call, the information flows directly into your operations — a maintenance request becomes a task, a booking inquiry updates your PMS, a guest complaint reaches the right manager. No manual relay needed.
The difference matters as adoption matures. Early adopters focused on “can the AI answer the phone?” The next wave is asking “what happens after the AI answers?” — and that’s where unified platforms have the advantage.
If you’re considering AI voice, here’s a practical evaluation framework:
Three trends to watch as AI voice matures in hospitality:
Voice + messaging convergence: The line between phone calls and text-based guest messaging is blurring. AI that handles both — answering calls and responding to texts through a single system — will become the standard.
Proactive outreach: Today’s AI voice is reactive — it answers when someone calls. The next generation will make outgoing calls and messages: booking confirmations, pre-arrival information, follow-up surveys. Hotels will move from “answering” to “engaging.”
Revenue intelligence: As AI handles more calls, the data it collects becomes a revenue signal. Which room types get the most phone inquiries? What’s the most common question from after-hours callers? AI voice will evolve from a call-answering tool to a demand intelligence tool.
Connected data becomes the moat. The Mews panel’s clearest consensus was that hotels investing in structured data and open API connectivity will win both guest trust and algorithmic trust as AI mediates more of the journey. H. Anthony Gambini, CEO of Premiere Advisory Group, told the panel: “If chatbots source rates and inventory directly from the PMS, this could drive a renaissance in direct bookings, bypassing OTAs.” The hotels positioned to capture that renaissance are the ones whose guest data, operational data, and booking data already flow through a connected operations platform — not the ones maintaining parallel spreadsheets, logbooks, and siloed point tools.
AI voice for hotels is no longer experimental. The technology is proven, the ROI is documented, and adoption is accelerating. The question for most hotel operators isn’t whether to adopt AI voice, but when — and which approach fits their property.
Start by quantifying your missed calls. If 40-60% of your calls go unanswered and you have no after-hours coverage, the ROI case is straightforward. HelloShift AI Voice handles 70-82% of routine calls, integrates with 40+ PMS systems, and supports 100+ languages — built specifically for hotels. Schedule a demo to see it in action.
HelloShift customers achieve ROI within 6-12 months through reduced missed bookings, lower maintenance costs, improved guest satisfaction scores, and streamlined operations across all departments.
HelloShift customers report 30% fewer guest complaints and 2x faster issue resolution. Our AI handles routine guest requests, digital guidebooks reduce front desk calls by 40%, and preventive maintenance checklists prevent costly breakdowns.
Ready to transform your hotel? Get started in 5 minutes with our free trial, or schedule a demo to see HelloShift in action at a property like yours.
Expert insights, case studies, and strategies from hotels using AI to boost revenue and delight guests
