Consumer

The guest already wrote you. The case is still open in three systems.

Recovery, group bookings, shore-side operations, and vendor coordination still depend on people copying context between PMS, CRM, email, and a spreadsheet. A writing assistant does not close the case.

Adnan Boz
Adnan Boz

How I see it

Hospitality AI should close the guest case, not write prettier emails

Miami hospitality and cruise are high-volume, high-exception businesses. The brand promise is experience. The operating cost is incomplete cases: a recovery file, a group block, a missed transfer, a vendor who did not get the change.

AI is useful when it assembles the guest or group packet, drafts the next action, and writes back to the system of record. It is not useful as a lobby robot or a generic 'AI concierge' that never reaches operations.

Human control points belong on compensation, safety, and anything that creates a guest commitment the property must honor. Routine classification and status should not wait for a manager who is already on the floor.

Start with one case type that already has volume. Measure time-to-close and reopen rate. Do not fund a transformation of the guest journey.

Common mistakes

What teams usually get wrong.

01

Launching a concierge bot and leaving recovery in the inbox

Guests will still email. The cost is the open case, not the missing chat window.

02

Designing for the flagship property only

A process that only works at one hotel will not create leverage for the group.

03

Letting every brand keep a private path

Local voice can stay. The packet steps should not be reinvented per property.

A useful diagnostic

Five questions before you fund the work.

  1. Which case type consumes the most operations hours: recovery, groups, or vendor coordination?

    Start there.
  2. How many systems must a person open to close one case?

    If the answer is more than two, assembly is the opportunity.
  3. What does a slow recovery cost in future stays or onboard spend?

    If you cannot estimate it, use labor hours first. Do not invent a brand-value story.
  4. Which guest commitments require a manager?

    Those stay human. Intake should not.
  5. Will the night team use the new path?

    If it only works for the day office, you designed a demo.

Economic model

Case load

cases per year × minutes of interpret-enter-chase time × loaded cost, plus repeat-guest value lost on slow recovery

Use the labor term if the revenue term is soft. A contained win does not need a brand-valuation model.

Three credible paths

How far should you go?

Do not force one solution. Choose the path the economics, the risk, and the organization can support.

01

Improve the work you already have

Keep the process mostly intact and use AI on the bottlenecks that create delay, rework, or follow-up.

Best when

The workflow is already sound and a few steps create most of the friction.

Limitation

Gains are usually incremental. The operating economics do not change much.

02

Redesign the workflow around AI

Question every handoff, queue, and duplicate step, then rebuild the process around what AI can now do.

Best when

The process grew over years and coordination now costs more than the work itself.

Limitation

Requires process change, clearer ownership, and a willingness to retire old steps.

03

Put an agent on a high-value outcome

Give an agent responsibility for one valuable result across systems, with humans at the control points that require judgment, authority, or risk acceptance.

Best when

The workflow is high-value, variable, multi-step, and worth engineering for production.

Limitation

Needs stronger architecture, evaluation, controls, and monitoring. This is not a prompt project.

When this is the wrong next step

Do not start with a sector program.

  • The request is a lobby experience piece for a brand launch.
  • Properties will not share a queue or a definition of a closed case.
  • Compensation rules cannot be written down.
  • Volume is a single boutique with relationship-only service.
Adnan Boz

A useful next step

Bring one expensive workflow from this industry.

We guide the implementation, go deep on the technical path, and stay hands-on through operations — or tell you when a simpler answer is better.

Discuss an AI opportunity