The hidden revenue opportunity in your hotel budget

What if your reservations team isn’t just a payroll cost, but a source of direct revenue? In this episode of Hotel Moment, we explore what hotels should consider before replacing reservation teams with AI, drawing on findings from Revinate’s 2026 Secret Shopped Call Report.

The conversation looks at where AI can handle routine guest questions, why complex bookings still need human expertise, and how the AI-to-human handoff can make or break a high-value reservation. It also explores why overloaded front desks can create a sales problem and why hotels need better visibility into their calls before deciding what to automate.

For hotel leaders heading into budget season, it’s a practical look at how to split the work between AI and people, protect valuable reservation capacity, and turn more high-intent calls into direct bookings.

Meet your host

Karen Stephens

As Chief Marketing Officer at Revinate, Karen is focused on driving long-term growth by building Revinate’s brand equity, product marketing, and customer acquisition strategies. Her deep connections with hospitality industry leaders play a key role in crafting strategic partnerships. Karen has more than 25 years of expertise in global hospitality technology and online distribution — including managing global accounts in travel and hospitality organizations such as Travelocity and lastminute.com

As the host of The Hotel Moment podcast, she interviews top players in the hospitality industry. Karen has been with Revinate for over 11 years, leading our global GTM teams. Her most recent transition was from Chief Revenue Officer, where she led the team in their highest booking quarter to date in Q4 2023.

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Transcript

[00:00:00] AI generated voice [male]: The moment that phone rings is the single most expensive, highest-leverage moment in your entire marketing funnel.

[00:00:05] AI generated voice [female]: It’s the moment of truth.

[00:00:08] Karen Stephens: Welcome to the Hotel Moment Podcast, presented by Revinate. I’m Karen Stephens, Chief Marketing Officer, joining you from sunny San Francisco, California.

[00:00:16] Dylan Cole: And I’m Dylan Cole, Managing Director of Revinate Europe, calling in from Amsterdam.

[00:00:21] Karen Stephens: This is the podcast where we explore how technology shapes every moment of the hotelier’s experience, and more importantly, how the right technology delivers real outcomes for hotel teams and guests alike.

[00:00:31] Dylan Cole: From revenue strategy and guest communication to operations and marketing, we sit down with the people transforming hospitality around the world.

[00:00:40] Karen Stephens: Depending on the conversation, sometimes it’ll just be me behind the mic.

[00:00:43] Dylan Cole: And sometimes it’ll be me, bringing a European perspective and stories from across the global hospitality industry.

[00:00:50] Karen Stephens: Whether you’re a hotelier, a tech enthusiast, or just curious about where hospitality is headed.

[00:00:56] Dylan Cole: You’re in the right place. Let’s get into it. Welcome back to Hotel Moment. One thing to say before we start: the conversation you’re about to hear is an imaginary one. These aren’t real people, but general managers and revenue managers are having similar conversations like this everywhere in the industry. We’ve done it this way because the discussion they’re having is the one I’ve heard in a dozen real hotels this budget season, and nobody wants to have it on record. It’s budget season. The reservations line is under the microscope, and owners everywhere are asking whether AI can just answer the phones. The people are invented; the research and the questions are very real. Now on to the show.

[00:01:36] AI generated voice [female]: Right now, if you call a luxury hotel to book a $5,000 vacation, there is a 92% chance the person who answers the phone will just hang up without ever asking for your name.

[00:01:47] AI generated voice [male]: Which is just wild to think about.

[00:01:49] AI generated voice [female]: It’s completely crazy. Welcome to our deep dive. We are looking at this exact scenario that’s basically playing out in almost every hospitality management office right now, because it is budget season.

[00:01:59] AI generated voice [male]: Oh, yeah. The best time of the year.

[00:02:00] AI generated voice [female]: And managers are staring at these massive spreadsheets, and on every single one of those screens, there is this specific row highlighted in bright, glaring yellow. And it’s the reservations line.

[00:02:14] AI generated voice [male]: Yeah, the glaring cost center.

[00:02:15] AI generated voice [female]: Exactly. So owners are staring at rising labor costs, looking at that row and asking one very, very pointed question, which is: “Can’t an AI agent just answer the phone?”

[00:02:26] AI generated voice [male]: I mean, it is the defining business question of the year and not just for hotels right? It’s for any service based industry that’s trying to balance overhead with customer experience.

[00:02:36] AI generated voice [female]: Right, totally.

[00:02:37] AI generated voice [male]: So to unpack whether a machine can actually replace that human touch, we are pulling from a really fascinating stack of recent data today.

[00:02:44] AI generated voice [female]: Yes, some great sources for this one.

[00:02:46] AI generated voice [male]: The cornerstone is Revinate’s 2026 Secret Shop Call Report, which is great because they meticulously logged, I think, 308 mystery calls across more than 135 luxury and upscale properties.

[00:03:00] AI generated voice [female]: Which is a huge sample for that tier.

[00:03:02] AI generated voice [male]: It really is. And we are layering that with some 2025 MIT research on why AI deployments fail in business and also Shep Hyken’s 2026 customer service dataset.

[00:03:13] AI generated voice [female]: So whether you are a hotelier who’s prepping to defend your team in a high-stakes budget meeting, or you’re just someone fascinated by this collision of artificial intelligence and human service, we are going to build the ultimate data-backed pitch to justify the human touch.

[00:03:28] AI generated voice [male]: And to even begin defending a reservations team, we kind of first have to look at the current reality on the phones.

[00:03:33] AI generated voice [female]: Yeah, we have to look at the baseline.

[00:03:34] AI generated voice [male]: Right. And the data from that Revinate report paints a shockingly bleak picture of what happens when a guest actually tries to spend money.

[00:03:41] AI generated voice [female]: Bleak almost seems like an understatement when you look at the numbers.

[00:03:44] AI generated voice [male]: Oh, it is. I mean, out of those 308 secret-shopped calls to high-end properties, 14 had to be thrown out of the study entirely.

[00:03:51] AI generated voice [female]: Wait, 14? Like, they couldn’t even use the data.

[00:03:54] AI generated voice [male]: They couldn’t even complete the call. The secret shoppers were literally trapped in endless voicemail loops, or they just hit disconnected lines.

[00:04:02] AI generated voice [female]: Wow.

[00:04:03] AI generated voice [male]: That is 13 luxury properties where the phone system was essentially just a digital dead end.

[00:04:08] AI generated voice [female]: Which is just wild for a segment of the industry that prides itself on premium service. You are dropping thousands of dollars on marketing to get that phone to ring, and the result is a dial tone.

[00:04:19] AI generated voice [male]: Exactly. But the statistics on the calls that actually connected are somehow even more alarming.

[00:04:25] AI generated voice [female]: Right. The failure to capture basic info.

[00:04:27] AI generated voice [male]: The failure is staggering. Like you mentioned at the start, 92% of connected calls ended with absolutely no contact details captured.

[00:04:35] AI generated voice [female]: No name, no phone number, nothing.

[00:04:37] AI generated voice [male]: Nothing. An email address was collected on fewer than 5% of the calls.

[00:04:41] AI generated voice [female]: Less than 5%. That’s almost zero.

[00:04:43] AI generated voice [male]: It practically is. And over half of the interactions featured zero discovery questions. I mean, the agent never even bothered to ask who was traveling or what the occasion was or what the guest actually cared about.

[00:04:55] AI generated voice [female]: Which is literally sales 101.

[00:04:57] AI generated voice [male]: Right. And the ultimate metric of any sales operation: only 22% of agents actually asked for the booking.

[00:05:04] AI generated voice [female]: Okay, so I have to play devil’s advocate here for a second. If I am an owner and I am looking at those specific numbers, my very first instinct is to cut the cord. If human agents at luxury properties are already acting like broken machines — they just pick up, quote “a $450 room,” ignore the email capture, and hang up — why shouldn’t I just pay an AI to do that?

[00:05:26] AI generated voice [male]: To do the exact same thing.

[00:05:27] AI generated voice [female]: Right. An AI doesn’t take a lunch break. Why am I paying human wages for a robotic, totally uninspired response?

[00:05:34] AI generated voice [male]: It is a completely rational conclusion. If you’re just doing a superficial reading of the data, if you see humans failing to add value, replacing them with a cheaper, automated alternative seems like just smart business.

[00:05:45] AI generated voice [female]: Exactly. It looks great on a spreadsheet.

[00:05:47] AI generated voice [male]: But the “why” behind that failure completely changes the narrative, because we are looking at a structural failure, not a talent issue.

[00:05:56] AI generated voice [female]: Okay, I want to dig into that mechanism because how does a structure cause a 92% failure rate?

[00:06:03] AI generated voice [male]: Well, you have to segment the data by who is actually picking up the receiver. When front desk agents answered the phone at these properties, 74% of those calls featured zero discovery questions.

[00:06:15] AI generated voice [female]: Seventy-four percent from the front desk.

[00:06:17] AI generated voice [male]: Right. And the percentage of times a front desk agent captured an email address?

[00:06:21] AI generated voice [female]: Zero. Literally zero percent across the board. But however, when those exact same types of calls were routed to dedicated off-site central reservations offices — the CROs — the failure rate for discovery questions plummeted to 40%.

[00:06:36] AI generated voice [male]: Oh, wow. That’s a massive difference.

[00:06:38] AI generated voice [female]: Huge difference. The callers were the same, the property types were the exact same, but the structural setup of the work dictated the success rate.

[00:06:45] AI generated voice [male]: That actually makes perfect sense when you think about the physical reality of a hotel lobby.

[00:06:49] AI generated voice [female]: Oh, yeah. It’s chaos. Total chaos. When you route a reservations call to the front desk, you are basically forcing that agent to act as a human firewall. Like, just picture the scene: it is 4:00 PM on a Friday.

[00:07:03] AI generated voice [male]: Peak check-in time.

[00:07:04] AI generated voice [female]: Right. There’s a line of tired guests waiting to check in after long flights, a wedding party is aggressively demanding a late checkout, the keycard encoder is jammed, and then the phone rings.

[00:07:15] AI generated voice [male]: And it’s someone wanting to chat about a vacation six months from now.

[00:07:18] AI generated voice [female]: Exactly. That front desk agent is not in the mental space to sell a dream vacation. They are just trying to survive the next 10 minutes and clear the lobby. So handing your most valuable, high-intent marketing lead to the busiest, most distracted person in the building — it’s a complete setup for failure.

[00:07:35] AI generated voice [male]: It really is. You are punishing the reservations budget line for what is actually a staffing and routing bottleneck. The front desk isn’t failing at sales; they were never resourced or positioned to sell in the first place.

[00:07:47] AI generated voice [female]: Right. Their job is operations in that moment.

[00:07:49] AI generated voice [male]: Their primary function is crisis management and logistics. It’s not consultative revenue generation.

[00:08:02] AI generated voice [female]: Okay, so an owner hears this and says, “Great, the front desk is overwhelmed. Let’s bring in the AI voice agent as the perfect relief valve.”

[00:08:03] AI generated voice [male]: Which sounds amazing.

[00:08:03] AI generated voice [female]: And I get the appeal. You sit in a vendor demo, the AI sounds incredibly human, and it just seems like magic. But evaluating an AI purely on its ability to answer a basic question is kind of a dangerous trap, isn’t it?

[00:08:15] AI generated voice [male]: Oh, absolutely. No, we have to concede that modern AI is phenomenally good at routine tasks. Like if a guest calls to ask about checkout times, parking rules, whether the pool is heated, or the Wi-Fi password, an AI agent will handle that flawlessly.

[00:08:30] AI generated voice [female]: Oh, yeah. Any time of day.

[00:08:32] AI generated voice [male]: Right. At 2:00 in the morning in six different languages without breaking a sweat. So the debate over whether AI can handle a routine informational call — that’s just over.

[00:08:40] AI generated voice [female]: But luxury bookings, or honestly any high-value sales conversations, they are rarely just routine. Nobody is dropping $5,000 or $10,000 on a week-long resort stay without needing some level of reassurance or, you know, nuance.

[00:08:53] AI generated voice [male]: Exactly. Which brings us to the single most critical concept for anyone defending their voice channel. And this is something you have to talk about in these budget meetings. It’s called the handoff.

[00:09:02] AI generated voice [female]: The handoff.

[00:09:03] AI generated voice [male]: Yes.

[00:09:03] AI generated voice [female]: Yes.

[00:09:04] AI generated voice [male]: This is where the actual margin is made. So a call to a resort might start out completely routine. The caller asks, “Do you have availability in the second week of June?”

[00:09:12] AI generated voice [female]: Super simple. The AI can do that.

[00:09:14] AI generated voice [male]: The AI handles the date check perfectly. But four sentences later, the context completely pivots. The caller says, “Oh, well, it’s my parents’ 50th anniversary. My mom uses a wheelchair, so I need to know exactly how far the room is from the beach access. Oh, and can we have a specific vintage of champagne waiting in the room?”

[00:09:33] AI generated voice [female]: See, that specific booking with all those premium add-ons, that just paid for an entire week of a human agent’s salary.

[00:09:39] AI generated voice [male]: Easily. And the crucial question owners need to ask isn’t whether the AI can answer the phone initially.

[00:09:45] AI generated voice [female]: Right.

[00:09:46] AI generated voice [male]: The questions are: Does the AI possess the semantic understanding to notice that the call just changed from a routine date check to a really complex, emotionally weighted request?

[00:09:56] AI generated voice [female]: Which usually it doesn’t.

[00:09:58] AI generated voice [male]: And when the AI inevitably hits a wall and has to hand off to a human, does that human receive the full context of the conversation on their screen instantly? Or does the frustrated guest have to start over from the very beginning?

[00:10:10] AI generated voice [female]: “Yes, I just told the robot this, but…”

[00:10:11] AI generated voice [male]: Exactly. And perhaps most importantly, if you cut your budget to fund the AI, is there actually a human left in the department to catch that handoff?

[00:10:22] AI generated voice [female]: That’s the scary part, because I have sat through so many of these software vendor pitches and they are incredibly persuasive. But they only ever demo the happy path.

[00:10:32] AI generated voice [male]: Oh, always, just the happy path.

[00:10:34] AI generated voice [female]: They show you the cheap, predictable interaction where everything goes perfectly and the caller only asks linear questions. They never show you the caller who changes their mind three times and then asks about wheelchair ramps.

[00:10:45] AI generated voice [male]: Because that breaks the current generation of software. I mean, your profit margin isn’t in the predictable call. Your margin is in the awkward, complex, highly emotional reservation.

[00:10:55] AI generated voice [female]: That makes a lot of sense.

[00:10:57] AI generated voice [male]: And this is exactly why MIT’s 2025 research on AI in business is so vital here. They found that roughly 95% of AI business deployments show absolutely no measurable positive impact on the P&L statement.

[00:11:11] AI generated voice [female]: Wait, 95%? That is a massive failure rate.

[00:11:14] AI generated voice [male]: It’s huge. Only about 5% of pilots ever scale into something that delivers tangible business value.

[00:11:20] AI generated voice [female]: So why are 95% of these deployments failing to actually move the needle on the profit and loss?

[00:11:26] AI generated voice [male]: Because companies usually fund these AI pilots by laying off the human fallback team.

[00:11:31] AI generated voice [female]: So they treat it as a direct swap.

[00:11:33] AI generated voice [male]: They view it as a one-to-one replacement. But when the AI hits an edge case like the wheelchair request combined with a peanut allergy, it hallucinates, it loops, or it just drops the call.

[00:11:43] AI generated voice [female]: Which is the worst possible outcome.

[00:11:44] AI generated voice [male]: Right. The integration between the bot and the property management system isn’t seamless, the context is lost, and the high-value guest just simply abandons the booking. So it is an integration and workflow failure, not just a software glitch.

[00:11:57] AI generated voice [female]: And we have the consumer data to back up how much people hate that trap, too. Looking at Shep Hyken’s 2026 customer service data, 86% of customers explicitly want the option to speak to a real person.

[00:12:10] AI generated voice [male]: Especially when the automation starts to break down.

[00:12:12] AI generated voice [female]: Exactly. The keyword there is “option.” Like, they might be totally fine asking the bot about the pool hours, but they demand a safety net for the high-stakes stuff.

[00:12:22] AI generated voice [male]: And if you remove that safety net, you’re venturing into a very dangerous regulatory and psychological area, especially regarding disclosure.

[00:12:30] AI generated voice [female]: Oh, right, because of the new laws.

[00:12:32] AI generated voice [male]: Yeah, the global landscape for AI bots is completely bifurcated right now. Under the EU AI Act, a caller has to be explicitly informed that they are interacting with an automated system.

[00:12:42] AI generated voice [female]: The bot basically has to announce, “Hi, I am a machine.”

[00:12:45] AI generated voice [male]: Right. But outside the EU, particularly in the US, you can legally hide it. You can program the bot to use filler words like “um,” maybe add a slight typing sound in the background, and the guest might never explicitly realize it isn’t a human.

[00:12:58] AI generated voice [female]: Which is sneaky. But I know a lot of operators see that deception as a win. They want it to pass as human.

[00:13:04] AI generated voice [male]: They do, but that silence is a massive trap. Just think about the mechanics of guest feedback. If a caller knows they are talking to a machine and the machine fumbles their complex anniversary request, they will immediately ask to be transferred to an operator.

[00:13:18] AI generated voice [female]: Or they’ll just call the front desk to complain about the frustrating bot.

[00:13:21] AI generated voice [male]: Exactly. And in that scenario, you get an opportunity to save the booking.

[00:13:25] AI generated voice [female]: But if they think they’re talking to a human, and that human completely ignores their nuanced emotional needs or, like, forgets the wheelchair accessibility request because the AI model dropped the context, they won’t complain to management.

[00:13:38] AI generated voice [male]: No, they won’t.

[00:13:39] AI generated voice [female]: They will just assume your staff is incompetent and rude. They will leave a devastating online review, or they will just quietly take their $5,000 to your competitor across the street.

[00:13:49] AI generated voice [male]: Which is what we call a silent loyalty bleed. The failure is never logged in your system as a technical API error. It is logged in the guest’s mind as a catastrophic failure of your brand’s luxury standard.

[00:14:01] AI generated voice [female]: So if the blind spot is this massive and the risk of this silent loyalty bleed is so high, how is it possible that owners are still looking at the reservations team as a pure cost center? Are they just using the wrong math entirely?

[00:14:17] AI generated voice [male]: They are managing a system they basically cannot see.

[00:14:20] AI generated voice [female]: What do you mean?

[00:14:20] AI generated voice [male]: Well, the Revinate report highlights a terrifying metric that explains this perfectly: only 41.9% of the calls in their study were run through a working, visible call recording and analytics system.

[00:14:35] AI generated voice [female]: Wait, you are saying that more than half the time managers literally cannot hear what is happening on their own phone lines?

[00:14:41] AI generated voice [male]: Yes.

[00:14:42] AI generated voice [female]: It is just a complete black box.

[00:14:43] AI generated voice [male]: More than half the time, there is no tape, no transcript, no data. Nothing.

[00:14:48] AI generated voice [female]: That is genuinely absurd. I mean, imagine walking into an ownership meeting and asking to slash the website budget by 50%, but you admit you have never once looked at Google Analytics to see how the website performs.

[00:14:58] AI generated voice [male]: They would laugh you out of the room.

[00:14:59] AI generated voice [female]: You wouldn’t even finish your sentence before they politely escorted you out of the building.

[00:15:03] AI generated voice [male]: Exactly. Because you cannot defend, optimize, or justify an asset that you refuse to measure, which requires a fundamental paradigm shift in how we approach these budget meetings.

[00:15:14] AI generated voice [female]: Okay, so this is where we get into the actual strategy for the listeners.

[00:15:17] AI generated voice [male]: Right. If you want to save your human team, you have to adopt what we call the revenue inventory strategy. You must force the room to stop treating the voice channel as an operating or payroll cost and start treating it as inventory.

[00:15:31] AI generated voice [female]: Okay. I really want to make sure we explain the actual mechanics of this strategy because this is the core of the pitch.

[00:15:36] AI generated voice [male]: Yes, it is.

[00:15:37] AI generated voice [female]: How exactly do you put phone calls on a spreadsheet as inventory right alongside physical hotel rooms?

[00:15:45] AI generated voice [male]: Let’s just do the math. A luxury property would never leave a block of premium suites unpriced, unmeasured, or unstaffed during peak season.

[00:15:52] AI generated voice [female]: Never. That’s money down the drain.

[00:15:54] AI generated voice [male]: They manage that inventory aggressively. Well, voice capacity works the exact same way. If you have a highly trained agent working a 40-hour week who takes an average of 15 minutes to secure a complex, high-margin booking, that agent does not represent $25 an hour in payroll cost. They represent 160 distinct slots of high-intent revenue inventory. There are 160 opportunities to convert a caller into a guest.

[00:16:22] AI generated voice [female]: And every single one of those 160 phone calls starts with thousands of dollars in marketing capital.

[00:16:28] AI generated voice [male]: Exactly.

[00:16:28] AI generated voice [female]: The paid search ads, the targeted Instagram campaigns, the expensive drone photography of the property at sunset — all of that money is deployed for one singular reason, and that’s to get a high-intent guest to pick up the phone.

[00:16:42] AI generated voice [male]: The moment that phone rings is the single most expensive, highest-leverage moment in your entire marketing funnel. It’s the moment of truth. And Matt Juarez, who is the VP of Customer Excellence at Revinate, he framed this perfectly in the research. He noted that if an agent hangs up the phone without capturing a name, a phone number, and an email address, they haven’t just missed a single booking; they have, in his words, “blinded the marketing engine.”

[00:17:06] AI generated voice [female]: Because if the caller hangs up without giving you a way to follow up, they’re going straight to an OTA.

[00:17:11] AI generated voice [male]: An online travel agency, yeah?

[00:17:12] AI generated voice [female]: Right, like Expedia or Booking.com, just to compare prices. And if they end up booking your hotel through that OTA platform —

[00:17:19] AI generated voice [male]: You have just paid twice for the exact same guest. You paid the initial marketing cost to make them call you, you dropped the ball, and now you have to pay a massive 15% to 20% commission to the online travel agency for a guest who was literally already on your direct phone line.

[00:17:34] AI generated voice [female]: Ouch. That hurts to even think about.

[00:17:36] AI generated voice [male]: It does. And Juarez points out that at that stage, an uncoached human agent is only delivering the value of a 1998 answering machine. They are just reciting a price and hanging up.

[00:17:47] AI generated voice [female]: Which, ironically, completely validates the owner’s initial complaint. If the human is operating like a 1998 answering machine, replace them with a 2026 AI machine.

[00:18:16] AI generated voice [male]: I know, but the business solution to an uncoached human isn’t to buy a cheaper machine; the solution is to coach the human to be worth exponentially more.

[00:18:20] AI generated voice [female]: Right.

[00:18:21] AI generated voice [male]: You don’t cut capacity that has the potential to earn. You close the coaching gap so that your 160 slots of inventory actually convert.

[00:18:28] AI generated voice [female]: So if I am building this ultimate pitch for my owner, where do I even start? What is the very first metric I need to put on the slide to snap them out of the cost center mindset and into this inventory mindset?

[00:18:51] AI generated voice [male]: You hit them with the acquisition cost. Just ask the room: What does a phone call earn compared to a website click?

[00:18:59] AI generated voice [female]: Oh, that’s good.

[00:19:00] AI generated voice [male]: Because any decent manager wouldn’t hesitate to recite their OTA commission rates or their return on digital ad spend. You must know your voice channel’s acquisition cost and average booking value. If ownership doesn’t know what that yellow row on the spreadsheet actually earns in direct revenue, they have no business trying to cut it.

[00:19:03] AI generated voice [female]: Okay, so once I have established that our voice channel is a high-value acquisition engine, I assume the next step is proving that our current system is broken in a way that AI cannot fix on its own.

[00:19:09] AI generated voice [male]: Exactly. That is the second pillar. You have to ask the owners if they have secretly shopped their own property recently.

[00:19:10] AI generated voice [female]: I bet most haven’t.

[00:19:17] AI generated voice [male]: And genuinely stress-testing it. Call the property at 9:00 PM on a Friday. Make the scenario complicated.

[00:19:19] AI generated voice [female]: Give them the wheelchair and champagne test.

[00:19:31] AI generated voice [male]: Right. Start with a routine question about dates and then abruptly pivot to a complex request about an accessibility need for an elderly parent or a multi-room family reunion, and just see what actually happens.

[00:19:42] AI generated voice [female]: Does the front desk agent rush you off the phone because there is a massive line in the lobby? Does the AI bot completely lose the thread of the conversation when you mention the wheelchair?

[00:19:50] AI generated voice [male]: Or do you just hit a wall? The data actually shows that 26.3% of after-hours calls drop into a completely sterile, passive voicemail box.

[00:19:51] AI generated voice [female]: Over a quarter of them.

[00:20:02] AI generated voice [male]: Yes. So if your test call ends in a sterile voicemail, your budget priority should be fixing that massive leak in your sales funnel, not reducing your headcount.

[00:20:08] AI generated voice [female]: I imagine that ties directly into the visibility problem we discussed earlier. If I can’t measure the calls, I can’t pitch the solution.

[00:20:29] AI generated voice [male]: Totally. The third question you pose to ownership is simply: How many of our calls can we actually hear and analyze? If you’re stuck in that 41.9% visibility bracket, your first technology dollar shouldn’t go toward an experimental AI replacement. It should be invested in call recording and speech analytics so you can actually measure and manage your inventory.

[00:20:41] AI generated voice [female]: All right, so we have reframed the math, we have exposed the operational leaks, and we have demanded better analytics. What is the actual phrasing — like, the core philosophy — that a manager should use to close this pitch?

[00:20:47] AI generated voice [male]: The winning strategy is to tell ownership: “We are not going to fight AI. We are going to split the work, not the team.”

[00:20:50] AI generated voice [female]: Split the work, not the team. I love that.

[00:21:05] AI generated voice [male]: You leverage the AI to absorb all the low-value friction. Let the machines take the routine Wi-Fi questions, the parking rules, the checkout times. Let the AI handle all the mundane, repetitive tasks that frankly exhaust your human staff anyway.

[00:21:08] AI generated voice [female]: Nobody wants to answer the same Wi-Fi question 50 times a day.

[00:21:19] AI generated voice [male]: Exactly. And then you take the human capacity you just freed up, and you deploy your absolute best humans on the emotional, complex, high-margin calls that pay for the entire year.

[00:21:21] AI generated voice [female]: You are engineering the perfect handoff.

[00:21:33] AI generated voice [male]: Precisely. When that routine call inevitably turns emotional or complex, the system transfers the guest instantly to a highly trained human who already has the entire context of the conversation loaded on their screen.

[00:21:35] AI generated voice [female]: So the guest never repeats themselves.

[00:21:40] AI generated voice [male]: Never. And the human agent can immediately begin consulting rather than just interrogating them.

[00:21:42] AI generated voice [female]: It reminds me of the anecdote about the superpower agent.

[00:21:43] AI generated voice [male]: Oh, yes.

[00:21:58] AI generated voice [female]: Every great hospitality group has one: that legendary reservations agent who somehow remembers every single guest’s bizarre preferences from years ago, the one who picks up the phone and says, “Oh, welcome back! Do you still want the room away from the ice machine, and should we stock the fridge with sparkling water?”

[00:22:00] AI generated voice [male]: And guests think it is absolute magic.

[00:22:16] AI generated voice [female]: Right. But it isn’t magic; it is just perfectly applied context. And technology’s true job isn’t to replace that legendary agent just to save a few dollars. Technology’s job is to systematically give every agent on your staff her level of context.

[00:22:20] AI generated voice [male]: Exactly. The system handles the data so that knowing the guest becomes ordinary, which allows the human to focus on doing something extraordinary.

[00:22:22] AI generated voice [female]: The end goal was never to replace the person picking up the phone. The goal is to equip them so seamlessly that an OTA or a competitor’s automated bot just cannot possibly compete with the level of bespoke, empathetic service they provide.

[00:22:26] AI generated voice [male]: Spot on.

[00:22:27] AI generated voice [female]: So, to wrap up our mission for you today: if you are walking into budget season, do not let them treat your reservations team as a yellow row of expenses to be trimmed. It is a highly guarded, mathematically vital inventory of revenue-generating capacity. You wouldn’t shut down your highest-converting physical sales channel just because nobody was coaching the staff. You would fix the coaching.

[00:23:00] AI generated voice [male]: You fix the coaching. But if we pull the lens back and look at the broader implications of this strategy, there’s a fascinating, almost kind of troubling question we really need to consider.

[00:23:10] AI generated voice [female]: Oh, okay. Let’s hear it.

[00:23:11] AI generated voice [male]: Let’s say you execute this pitch flawlessly. You deploy AI to perfectly siphon off 100% of the easy, routine, transactional questions. The happy path is fully automated.

[00:22:14] AI generated voice [female]: Which sounds like an operational dream.

[00:22:16] AI generated voice [male]: It does, right? But think about the consequence for the humans: that means the only calls reaching your human staff will be the highly complex, emotionally charged, high-stakes escalations.

[00:22:18] AI generated voice [female]: Oh, wow.

[00:22:22] AI generated voice [male]: Yeah. Every single time a human’s headset beeps, it is no longer a simple question about pool hours. It is going to be a frantic VIP, a logistical crisis, or a highly nuanced, high-pressure sales puzzle.

[00:23:51] AI generated voice [female]: I hadn’t thought about that.

[00:23:52] AI generated voice [male]: So have we considered the psychological toll on a workforce whose entire day goes from a mix of easy and hard calls to nothing but 100% crisis management and complex problem-solving?

[00:24:04] AI generated voice [female]: Yeah.

[00:24:04] AI generated voice [male]: Are we actually preparing our human teams for a job that is about to become significantly harder?

[00:24:09] AI generated voice [female]: If the AI takes all the easy wins, the humans are left with a 100% strike rate of difficult conversations. That completely shifts how we need to think about training, compensation, and honestly, burnout for the people we keep. You might have fixed the spreadsheet, but you just made the daily reality of the job incredibly intense.

[00:24:27] AI generated voice [male]: The human firewall just got much, much hotter.

[00:24:29] AI generated voice [female]: That is a phenomenal point to leave you with as you head into those meetings. Guard your inventory, measure your handoffs, and prepare your humans for the really complex work ahead. Thanks for joining us on this deep dive, and we will catch you next time.

[00:24:45] Karen Stephens: Thank you for joining us on this episode of Hotel Moment by Revinate. Our community of hoteliers is growing every week, and each guest we speak to is tackling industry challenges with the innovation and flexibility that our industry demands. If you enjoyed today’s episode, don’t forget to subscribe, rate, and leave a review. And if you’re listening on YouTube, please like the video and subscribe for more content. For more information, head to revinate.com/hotelmomentpodcast. Until next time, keep innovating.

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