agentic ai hospitality mitel

From Generative to Agentic AI: The Next Frontier for Hospitality

Across the hospitality industry, a pointed technology question is emerging: if AI can think and respond, why is a human still needed to act on every answer?

Why does a housekeeper—gloves on, cart in the corridor—still need to find a phone keypad to update room status? Why does a security officer still have to write up incidents by hand in a logbook while the duty manager waits to be told? Why, an hour before the client arrives, does an event manager still make three phone calls across two departments just to confirm whether a function room has enough table and staff?

The answer is that generative AI, for all its power, is reactive. It responds to prompts and generates content. It does not take action. Agentic AI does, and hospitality may be the industry where the difference matters most.

What Changes with Agentic AI

Generative AI is a brilliant advisor. Ask it a question, it gives you an answer. Ask it to draft something, it drafts it. The human still decides, clicks, calls, and coordinates.

Agentic AI is a capable operator. It receives a goal, breaks it into steps, queries the systems it needs, and executes across platforms, without someone triggering each move. As Gartner noted, agentic AI systems are "capable of creating a plan at runtime to reach goals, executing complex workflows, and communicating with other agents or humans across systems."

For hospitality, this shift is particularly significant. Hotels are operationally fragmented by design: a property management system here, a ticketing system there, scheduling software in HR, reservation platforms in food and beverages and spa. Staff spend a disproportionate share of their working day navigating the space between these systems instead of serving guests. Agentic AI removes that friction by acting as an orchestration layer: it understands intent, identifies the relevant systems, and completes the workflow by voice, in seconds, without a screen.

The numbers are beginning to reflect the momentum. The travel and hospitality sector saw agentic AI adoption grow at an average rate of 133% per month in the first half of 2025. And industry forecasts project that by 2029, agentic AI will autonomously resolve 80% of common customer service issues, reducing operational costs by approximately 30%.

What This Looks Like on the Ground: Voice-First, System-Connected

Consider what this might look like across a single property in a single day:

  • A housekeeper wearing a DECT headset or using a mobile app from Mitel says "Room 310 ready," and the PMS updates instantly, no room phone required. Minutes later she reports a broken TV in another room, and the AI agent checks the PMS for the room's occupancy status, determines a guest is arriving that afternoon, and raises a priority ticket to maintenance automatically.
  • A security officer reporting an incident by voice triggers either a structured log entry or, for a medical emergency, an immediate alert to the duty manager, first aid, and the security team, with Mitel's emergency notification systems classifying severity in real time so the right people are reached without delay.
  • At the front desk, a receptionist books a guest into the spa without calling the spa, because the AI agent has already queried the schedule and confirmed availability.
  • Across the property, an event manager confirms table counts and staffing for a function in a single conversation, rather than across three departments and two phone calls.

The guest experience is equally transformed. Calls about early check-in, late check-out, room availability, restaurant bookings, or golf tee times are handled end-to-end by the Mitel AI agent checking availability in the PMS, applying hotel policy, and updating the relevant system, all without the call ever needing to reach a member of staff.

This is what Mitel’s infrastructure was built for, and what it’s delivering now. Workflow Studio, DECT mobility, and AI agent capabilities working as one. The result: workflows that are voice-initiated, system-connected, and designed for how hotel staff actually work — on their feet, with busy hands, and no time to sit at a screen.

From Conversation Layer to Workflow Layer

The common thread running through all of this is architectural: the AI agent sits between the guest or staff member and the hotel's operational systems, acting as the intelligence layer that connects them. As industry analysts have recently noted, AI in hospitality is moving decisively from conversation layer to workflow layer, and the hotels that establish this infrastructure now will have compounding operational advantages over those that wait.

IDC predicts that by 2030, 30% of travel bookings will be executed by AI agents. The Mews 2026 Hospitality Industry Outlook identifies agentic AI as the defining operational shift of the decade.

Most hotels are still in the generative AI phase, experimenting with productivity tools, automating guest inquiries, and drafting communications faster. But the industry is, as HSMAI puts it in their recent report on the state of generative AI in the sector, "barely scratching the surface" of its potential. What’s beneath the surface is agentic.

What Mitel Brings to This Transition

Mitel's position in this shift is grounded in infrastructure that hotels already rely on: communications platforms, DECT and Wi-Fi mobility, IP endpoints, and a powerful, intuitive workflow engine (Mitel Workflow Studio) specifically designed for multi-system orchestration. Far from replacing that investment, the AI agent layer activates it.

For hospitality operators, the move from generative to agentic AI does not require rebuilding from scratch. It requires connecting the systems already in place under an orchestration layer that understands context, acts on intent, and completes workflows that currently depend on staff navigating between screens and making calls that should never need to happen.

The attentiveness, the judgment, the warmth that drive loyalty and return visits: none of this is being automated. But the administrative load that competes with it finally is.

Contact us to learn how Mitel's agentic AI capabilities can transform your hotel's operations.

Nazia Förster hs

Nazia Förster Product Marketing Manager, Mitel

Nazia Förster is a Product Marketing Manager at Mitel, where she has been shaping product messaging and go-to-market strategy since 2021. With over 10 years of experience in copywriting, sales, and marketing across healthcare, retail, and hospitality, she currently leads marketing for those verticals within Mitel's product marketing organization. A thought leader in the industry, she helps her team bring powerful communications solutions to life through clear, compelling narratives for global audiences. Fluent in both English and French, she brings a multilingual perspective to her work that spans markets and cultures. Nazia has a keen interest in what AI-enabled solutions can do for the retail and hospitality industries. She holds a Master's degree from the University of Antwerp and is based in Prague.
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