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AI-KSTUDIOPortfolio / 02
PortfolioCASE 002 / INTERACTIVE CONCEPT
HOSPITALITY & GUEST SUPPORT

One question.
A clear next step.

Imagine support that keeps a guest’s question, approved guidance and the right person connected. AI could help suggest the next step; the hotel team stays responsible.

Enter the story
Guest Desk / AI-KScroll to explore Application concept · Fictional data

WHEN THE FRONT DESK IS BUSY

A familiar question.
A person with somewhere to be.

A guest arrives late and cannot find the entrance. The same question can need simple directions, updated information or someone who can help in person. Context makes the difference.

A SUPPORT JOURNEY REIMAGINED

Keep the question
close to its context.

Explore four moments. Select each step, or play the story.

01KEEP THE ORIGINAL QUESTION

Start with what the guest asked.

A fictional guest asks which entrance to use. Keep the message and hotel context together before suggesting a response.

The original question remains visible

THE HUMAN DECISION

The answer fits.
Does it solve the question?

The guest has reached the entrance, but the door is closed. Repeating the same directions would miss the new problem.

Explore the handoff instead of repeating the suggested answer.

NEW CONTEXTGD–021

“I’m at the entrance, but the door is closed.”

SUGGESTED RESPONSE
The prepared directions point to the entrance.

Illustration only. No calls, messages or bookings are made.

WHAT THIS CONCEPT EXPLORES

Useful guidance.
Clear human responsibility.

01

Keep the context

The original question travels with any suggestion.

02

Know the boundary

Approved guidance has limits, and new context can change the next step.

03

Show what is pending

The team can see a request that still needs a person to accept it.

This visual concept uses fictional questions and hotel details. No calls, messages, bookings or AI processing take place. It does not represent a delivered customer project.

START WITH A REAL WORKFLOW

Which questions
need a clearer next step?

Explore the workflow with AI-K
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