Luca Zambello, Founder and
Jason Lopez, VP of Revenue, Jurny
AI Automation for Hotels
Subscribe now on any of these platforms so you don't miss a single episode.
Apple Podcasts
Blubrry
Android
YouTube
TuneIn
Stitcher
Google
Spotify
Amazon Music
RSS
Guests: Luca Zambello, Founder; Jason Lopez, VP of Revenue, Jurny
The overlooked economics of hospitality operations
The central argument advanced by Luca Zambello, founder of Jurny, and Jason Lopez, VP of Revenue, is that hotels are failing to capture the full economic value of guests they already have.
In brief:
-
Personalization at scale is becoming an operational advantage.
-
Incremental guest revenue flows almost entirely to the bottom line.
-
Agentic AI shifts hospitality labor from admin to enhanced guest experience.
-
Centralized communications are a prerequisite for any meaningful AI deployment.
-
Hotels systematically under-monetize the guest relationship beyond room revenue.
Most hospitality operations still treat the room night as the primary revenue unit. Everything else - parking, early check-in, late checkout, ancillary services, local experiences - is optimized inconsistently, manually, or not at all. In practice, this leaves material revenue unclaimed because the operational cost of coordinating these interactions overwhelms the perceived benefit.
Jurny’s platform, originally built in the short-term rental sector and now expanding aggressively into hotels, reframes this problem as one of infrastructure rather than intent.
Full disclosure: I have personally invested in Jurny.
Why communication, not pricing, is the bottleneck
Guest communication in hotels is fragmented across OTAs, email, SMS, WhatsApp, phone calls, front desk interactions, and other inputs. Messages are missed, delayed, or answered without context. This fragmentation creates both service failures and lost commercial opportunities.
Jurny’s first move is to consolidate all guest communications into a single operational hub. Once this exists does automation become very powerful.
As Zambello puts it, “The entire communications ecosystem is extremely fragmented. And so the number one thing that we did… we just centralize all of that into a single hub.”
This alone improves response times, reduces staffing pressure, and creates a structured dataset of guest intent where AI is layered on top, not bolted on.
Agentic AI and the shift from labor to leverage
Much of the conversation focuses on what Zambello calls “agentic AI” - systems that do not merely generate text but take proactive action within defined parameters.
Jurny’s AI agents handle routine guest requests, route maintenance issues according to predefined SOPs, escalate only when necessary, and operate across text and voice. Importantly, the system is configurable along a spectrum, from assisted responses to fully autonomous operation.
This matters because hospitality has historically scaled linearly with labor, something Zambello argues is now obsolete.
“What if your team can now do ten times what they were able to do before?” he asks. The implication is not labor redeployment and improved productivity. Front desk staff spend less time answering phones and more time enhancing the guest experience.
Maintenance receives actionable tickets without human triage and management gains visibility without micromanagement.
The real margin story is post-booking
The most consequential insight in the discussion is financial, not technical.
Room revenue is constrained by the physical asset whereas ancillary revenue is not. When incremental services are sold to an already-booked guest, the marginal cost is de minimis and yet the margin is high.
Zambello frames this bluntly: “If I can tell you, oh, you can make an additional 10% of revenue from the same guest, that’s not 10% in the end of the year of bottom line. That’s like more like 30, 40% relative to current NOI.”
Jurny’s upsell engine operationalizes this logic. It dynamically offers services based on guest context, sentiment, length of stay, and behavior.
A guest traveling by car is offered parking.
A dissatisfied guest may be offered a complimentary late checkout.
A repeat business traveler may see a different set of options entirely.
Crucially, this is done by embedding upsells into natural conversations, triggered by intent rather than campaigns.
Hyper-personalization as infrastructure, not marketing
Large hotel groups have long aspired to personalization, but execution has been limited to loyalty programs and static CRM fields. Jurny’s AI roadmap pushes this further.
The platform tracks guest preferences, behaviors, and history across properties, enabling recognition and anticipation rather than recollection. The system remembers why a guest stayed, what they asked for, and how they behaved, even years later.
Zambello describes this as “hyper personalization at scale” and positions it as the next competitive frontier. Not in 2035, but today.
Who this matters for
This discussion is most relevant for:
-
Multi-property hotel operators facing margin compression.
-
Brands struggling to scale service without adding headcount.
-
Owners evaluating technology as a driver of NOI, not a cost center.
The platform is already being piloted with operators managing portfolios in the hundreds of thousands of keys, suggesting institutional readiness rather than experimental ambition.
Bottom line
The Demo Day presentation with Luca Zambello and Jason Lopez shows how infrastructure is finally catching up to the economics of the business.
Hotels already have demand and, of course, they already have guests. What they lack is a system capable of responding, personalizing, and monetizing at scale without breaking operations – while improving guest experiences and bottom line profits.
Jurny’s bet is that the next phase of hospitality competition will be decided less by branding and more by operational intelligence. Watch the video and discover how Jurny makes a credible case that this shift is already underway.
Related to this episode:
