Laundy Hotels, the four-generation family hospitality group behind more than 105 venues across Australia, has published the results of a six-month AI deployment that should get every venue operator's attention. The group ran Sydney startup Axify's AI Workforce across three live venues, handling 7,451 guest interactions via voice and AI-assisted SMS — and capturing $1.26 million in total commercial opportunity in the process.
Why this matters right now
Australian hospitality is caught between two forces. On one side, a Zeller survey of 1,131 operators found 53% rate staffing shortages as significant or critical, with 62% saying hiring is harder than a year ago. On the other, labour now accounts for more than 40% of turnover according to the Restaurant & Catering Australia benchmarking report — the sector's single largest cost. Nearly three-quarters of operators are increasing their own hours just to keep venues running.
Against that backdrop, the Laundy Hotels deployment isn't a proof of concept. It's a proof of value. And it arrives at a moment when Australian hospitality operators desperately need hard numbers on what AI can actually do, not what vendors promise it might.
We've covered the broad thesis that AI-first hotels will win the labour war. Now there's an Australian case study with receipts.
What the AI Workforce actually did
Axify's model deploys specialist AI agents — not a single chatbot — each trained for different hospitality jobs. Across the Laundy Hotels pilot, these agents handled:
- Dining reservations — availability checks, bookings, modifications, and cancellations
- Private-event qualification — capturing guest requirements, party sizes, dates, and commercial opportunity
- Guest services — venue information, policies, FAQs, vouchers, and general support
- Escalation routing — handing off to human staff when the interaction genuinely required it
The system operated across voice calls and AI-assisted SMS. Guests didn't navigate a phone tree or wait on hold. They spoke naturally, and the AI interpreted intent and completed the work inside the venue's existing operational systems.
The headline metric: a 98.9% guest success rate across 7,451 interactions. That's not a lab test. That's real guests, calling real venues, during real service periods.
Where the $1.26 million came from
The commercial opportunity breaks into two categories — and the split is the most interesting part.
Reservation revenue: $280,967. The AI completed 810 reservations directly, capturing bookings that would otherwise have gone to voicemail, been missed during service, or lost to competitors with faster answers.
Private-event opportunity: ~$980,000. The AI qualified 196 private-event enquiries — capturing dates, guest numbers, budgets, and requirements — and surfaced them to venue teams as commercial leads. This is the number that should stop operators in their tracks.
Private events are where margins live in hospitality. But they're also the enquiries most likely to go uncaptured — they arrive as phone calls during service, require detailed qualification, and often can't be handled by front-of-house staff mid-shift. An AI agent that can qualify these enquiries in real time, capture the details, and hand a warm commercial lead to the events team is doing work that genuinely didn't happen before.
It's worth noting Axify's own disclosure: the $1.26 million figure represents identified commercial opportunity, not confirmed revenue. That's an honest distinction. But identified opportunity that was previously invisible is still a material shift.
A pattern emerging across Australian hospitality
Laundy Hotels isn't operating in isolation. Across the Australian market, a cluster of AI deployment results is starting to form:
- Momento Hospitality (8 Sydney venues) reported a 75% reduction in staff-handled calls after deploying Axify, with $236,059 in AI-secured reservation revenue in a single month and 297 hours reclaimed.
- Point Hotel Brisbane saved nearly 300 staff hours in six months and generated over A$60,000 in upsell revenue using Canary Technologies.
- Lilac City Motor Inn in Goulburn, a 28-room independent property, used Sadie to answer 100% of 615 calls in its first month, capturing $10,577 in direct bookings.
- Urban Rest deployed Salesforce Agentforce and projects a 25–30% ROI within 12 months.
The pattern is consistent: AI agents in hospitality aren't replacing staff. They're capturing demand that was falling through the cracks — missed calls, after-hours enquiries, complex requests that arrived at the wrong moment. The hours returned to teams aren't theoretical efficiency gains. They're real shifts where staff can focus on the guests physically standing in front of them.
This mirrors what we've seen in other Australian sectors. The Grout Guy cut work-order processing from two days to two minutes with AI agents. Wesfarmers deployed AI across Bunnings, Kmart, and Officeworks and saved 500,000 hours. The playbook is the same: deploy AI agents against specific operational work, measure in business outcomes, expand when the numbers hold.
What this means for venue operators
Axify CEO Bianca Brady framed the opportunity directly in an interview with E-Commerce News: "AI creates its greatest value when it can move beyond conversation and complete real operational work. Hospitality operators already have sophisticated technology systems; they need AI that can work across them."
The Axify model reinforces this. It integrates with OpenTable as a certified Voice AI partner, meaning reservation work happens inside the platform operators already use — not in a parallel system. OpenTable remains the source of truth. The AI doesn't create a second diary or hide bookings in transcripts. When it can't safely complete a task, it routes to staff with context.
For venue operators weighing whether to trial AI, the Laundy Hotels results offer three practical takeaways:
Measure AI like a staff member, not a software tool. The case study's framing — hours returned, commercial opportunity created, interactions handled — is the right lens. If your AI deployment can't report in operational terms your venue manager understands, something is wrong.
Look beyond reservations. The private-event qualification drove 78% of the identified value. If your AI only handles standard bookings, you're leaving the most valuable work on the table.
Start with three venues, not thirty. Laundy Hotels piloted across three venues before expanding. That's a pattern we see consistently in successful AI deployments at scale — phase, measure, then expand.
Laundy Hotels has already expanded beyond the pilot. Given the numbers, that decision likely took about as long as the AI takes to answer a phone call.
Sources
- Hospitality AI Case Study: Laundy Hotels — Axify
- Axify integrates with OpenTable for restaurant bookings — E-Commerce News Australia
- From 'Do you have a table?' to the right OpenTable Experience — Axify
- Only 12% of Operators Say Now is a Good Time to Open a Venue — Zeller
- R&CA Industry Benchmarking Report 2024–25 — Restaurant & Catering Australia
- Arthur Laundy and Danielle Richardson on setting the standard for generations — Australian Hotelier
- Hospitality Case Study: Momento Hospitality — Axify
- How Point Hotel Saved Nearly 300 Staff Hours — Hospitality Net
- Sadie & Lilac City Motor Inn — Sadie
