Your support team handles the same parking, check-in, and invoice questions hundreds of times a day. Limehome's AI agents handle them in seconds.

The Problem Nobody Talks About

Serviced apartment operators face a hidden tax on every booking: the cost of repetitive guest requests.

At Limehome, one of Europe's leading serviced apartment providers with over 6,000 apartments across 100+ cities, the numbers told a familiar story. Thousands of monthly guest inquiries about parking, early arrivals, invoices, and check-ins. Support teams buried in repetitive tasks. The same questions answered the same way, hundreds of times a day — pulling agents away from the complex situations where human judgment actually matters.

"The biggest challenge was providing the right support for our guests and keeping it up even through the clutter and noise of repetitive tasks," explains the Limehome operations team. "It was inefficient and frustrating for our team."

The industry's default answer: hire more agents. Scale linearly. Accept that growth means proportionally more support overhead.

Limehome didn't accept that.

"We Talked to Many AI Providers. None Convinced Us."

Limehome evaluated multiple AI vendors. All of them promised automation. None of them delivered conviction.

"We talked to many AI providers, who all promised us various solutions, but in the end, none of them really convinced us," says Christoph, Co-Founder at Limehome.

What was missing wasn't technology. It was a partnership mindset — someone who understood Limehome's operational reality, not just their ticket volume.

Then Beam did something different.

Start Small. Prove Value. Then Expand.

Instead of pitching an enterprise-wide transformation, Beam suggested starting with one concrete pain point: guest invoice requests — a process consuming the finance team's time with over 1,000 monthly requests.

No grand rollout. No 6-month implementation plan. One focused pilot to prove whether AI could match human accuracy on a real operational bottleneck.

"What convinced us about Beam was their pragmatic approach: Instead of overwhelming us with complex concepts, we started together with a concrete use case — handling guest invoice requests — which quickly reached 95% accuracy," says Arthur, Head of Operations.

"At first, we didn't know how to build AI flows. The Beam team supported us in defining a fitting use case and then we worked together on designing the flow. Later on, we implemented the agent step by step, allowing us to iterate fast and learn a lot."

The results came fast.

The Numbers

Over 5,750 guest interactions automated monthly. Not by cutting corners — by removing the repetitive work so support teams could focus on what actually matters: being there for guests when it counts.

From Pilot to Full Transformation

The invoice pilot proved the model. Now Limehome is running a complete AI-native guest operations suite with Beam.

Six specialized AI agents across the entire guest experience lifecycle:

• OCI/Check-in Agent: 1,100+ queries monthly

• Extension/Check-out Agent: 1,200+ requests monthly

• Parking & Luggage Storage Agent: 2,500+ inquiries monthly

• Early Arrival Agent: 550+ requests monthly

• Group Booking Agent: 150+ queries monthly

• Invoice Request Agent: 250+ requests monthly at 93.8% accuracy

"From there, we expanded to other customer support operations, where we now have several live agents handling thousands of interactions per month — from online check-ins and early arrivals to parking inquiries and booking extension requests," says Arthur.

And it's still growing. Two new internal teams are being onboarded through Beam's platform training sessions and agent-building workshops.

"We're Not Just Automating Processes. We're Building an AI-Native Company."

That line from Christoph captures something most AI conversations in hospitality miss.

Limehome's support teams now spend their time where it counts — handling complex guest situations, solving unique problems, delivering the personal touch that defines premium hospitality. The repetitive requests that used to consume their days? Handled automatically.

"Over a third of our guests contacting us for additional services — parking, early arrival, breakfast — are being entirely handled through automation with no human interaction required," says the operations team.

What's particularly powerful: Limehome's teams now build agents themselves on the platform. No engineering dependency. No vendor bottleneck.

"Teams are directly involved in building the agents, which brings greater speed in setting up new agents but also in maintaining existing ones through iterative work," explains Arthur. "This collaboration allows teams to automate what matters most based on their own priorities without having to rely on others' roadmap."

What This Means for Hospitality & PropTech

If you're running serviced apartments or hotels at scale, the challenge isn't finding AI tools. There are plenty of those.

The challenge is finding a partner who understands how to build AI-native hospitality operations — not just deflect tickets.

Limehome found that partner. The results: 5,750+ monthly interactions automated, 6 agents in production, teams building their own agents, and a roadmap that extends into logistics, reorders, and invoice controlling.

"Do not start with the most complex use cases. Get started with something small and easy. Then see the first results, and iterate until removing the mundane and repetitive tasks and create trust in the AI automation," advises the Limehome team.

"Limehome was always digital first with a pure online guest journey and staff-less operations. AI now gives us the opportunity to automate even further and invest our personal interactions where they really matter — being there for our guests when it counts."

In a nutshell

Impact Summary

• Automated 5,750+ guest interactions monthly across 6 specialized AI agents.

• Achieved 93.8% accuracy on invoice processing from day one.

• Scaled from 1 pilot agent to 6 production agents across guest experience and finance.

• Over a third of guest service requests now handled with zero human intervention.

• Teams now build and deploy agents independently on the platform — no engineering dependency.

• Actively onboarding 2 new internal teams through platform training and agent-building workshops.

Ready to automate your guest operations? Start today.