Amano Hotels deploys Flexkeeping AI cleaning across Europe and the UK
Amano Hotels has rolled out Flexkeeping's automated cleaning technology across its portfolio in Europe and the UK. The move pushes the brand closer to a fully digital, self-service guest journey while tightening quality control and cutting waste across outsourced housekeeping operations.
For operations leaders, this is a signal: automation is moving from pilots to standard practice. The focus is simple-fewer delays, cleaner handoffs, better consistency, and measurable savings.
What this means for operations
Flexkeeping centralizes housekeeping, maintenance, and staff communication in one place, with remote oversight that fits outsourced cleaning models. Schedules and room assignments adjust in real time based on actual reservation data, so teams work on the right task at the right moment.
- Faster room turns and fewer status mismatches
- Consistent standards across properties and vendors
- Less paper, fewer phone calls, tighter audit trails
- Clear sustainability levers tied to cleaning frequency and resource use
How Flexkeeping works
The platform integrates with leading PMS systems to automate scheduling and room allocation. Supported connections include Mews, Cloudbeds, RMS Cloud, Apaleo, Shiji, and Oracle OPERA.
It pulls live reservation details (length of stay, rate, guest count, room status) and auto-builds day plans for housekeeping. If a booking changes, the schedule updates instantly-no manual reshuffling, no guesswork.
Flexie AI, a voice assistant, bridges team communication across 240+ languages. Instructions and updates are translated on the fly, which helps multilingual teams reduce errors and speed up handoffs.
Reported results from hotels using Flexkeeping
- Operations optimized by 70-90% with clearer workflows and fewer blockers
- Staff productivity up by about 40% through automation and fewer context switches
- 30-40% reduction in operational costs tied to data-driven scheduling and reduced waste
- 24/7 digital oversight, trend tracking, and faster decisions
These gains come from eliminating fragmented tools (paper checklists, phone trees, scattered chats) and moving to a single, real-time system.
Industry context: platforms set the pace
After Flexkeeping was acquired by Mews in September 2025, the bar for connected hotel operations rose. Platform-level automation puts pressure on standalone housekeeping and comms tools to integrate or risk losing ground. Niche AI vendors that plug in cleanly-translation, predictive analytics, workforce optimization-stand to benefit.
Sustainability: less waste, smarter timing
Automated scheduling and guest choice programs (e.g., skipping daily service) cut energy, water, and chemical use. With room status tied to real demand, teams clean what's needed, when it's needed-and can prove it with data.
Workforce impact: augmentation, not replacement
Automation fills labor gaps and frees staff for high-impact guest work. New roles are emerging around system orchestration, vendor performance, and data analysis-meaning upskilling is now table stakes for ops teams.
If you're building skills for AI-led hotel operations, explore practical learning paths and certifications: Courses by job and AI Automation Certification.
What's next (1-3 years)
- Autonomous cleaning robots and smart sensors that trigger service based on actual room readiness
- UV-C disinfection workflows baked into SOPs during high-risk periods
- Cleaning preferences saved to guest profiles for consistent, personal service
Longer-term (3+ years)
- Advanced robots handling complex layouts and real-time obstacles
- Hyper-personalization that sets room conditions ahead of arrival
- Predictive maintenance using IoT data to fix issues before they interrupt stays
Execution playbook for hotel operations leaders
- Define success: target KPIs (turn time, productivity, guest satisfaction, cost per clean, rework rate)
- Map integrations: confirm PMS connection, room status rules, and data flow to contractors
- Run a 60-90 day pilot: start with one property or floor stack; baseline metrics before launch
- Standardize SOPs: arrivals, stayovers, departures, rush rooms, make-goods, QC sign-off
- Contractor alignment: set SLAs, mobile app usage, and audit cadence
- Train by role: supervisors on dashboards, room attendants on tasks, FOH on status signals
- Privacy and security: data mapping, access controls, and a DPIA aligned to GDPR guidance
- Change management: weekly huddles, issue tracker, quick wins shared across shifts
- Measure and scale: review ROI monthly, then expand property by property
Risks and how to manage them
- Upfront costs: phase rollout; tie spend to hard KPIs with monthly reviews
- Legacy friction: simplify interfaces; retire duplicate tools to avoid noise
- Adoption dip: over-communicate SOPs; assign floor champions; keep feedback loops short
- Privacy concerns: minimize data, restrict access, and audit logs
- Quality drift with outsourced teams: enforce digital checklists, photo proof, and spot checks
The bottom line
Amano's full-scale rollout shows where hotel operations are headed: connected systems, automated schedules, and teams focused on guest impact. The properties that win will measure relentlessly, train their people, and let data guide every shift change and clean.
If you're planning your roadmap, start small, prove the numbers, and scale with confidence.
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