Introduction

What work would you like to improve?

AI can be approached through a practical question: what work would we like to improve, and what needs to be in place to improve it responsibly?

Consider the departments and people involved, answer 18 short questions, and turn the findings into a small action plan. You do not need a technical background or an existing AI project. You can mark uncertain answers for someone else to verify.

What the result is

The result is a profile of the scope you assess. It is not a certificate that a hotel or application is safe, compliant or ready for every use of AI.

Keeping it short

Why 18 questions?

Keep three questions in each of six areas. The role-selection exercise supplies context; it does not create a separate set of 18 questions for every department. Detailed implementation checks appear only when the proposed work requires them.

The short form shows questions and score descriptions. The reference and improvement guide provide the detail needed to act.

Our philosophy

Three principles behind the check.

  • Principle 1

    Start with the work, not the technology

    AI is a means to improve how a hotel operates and serves its guests. It is not an objective in itself.

    The starting point is a real need: reducing unnecessary effort, improving service, making better decisions or creating a better guest experience. The right response might be AI, a simpler process or better use of existing software.

    The purpose is better outcomes, not more technology.

  • Principle 2

    Build the foundations, not dependence on a particular tool

    Useful AI depends on the environment around it. People need suitable tools and the ability to use them. Information needs to be accessible and reliable. Systems need to allow appropriate access and connections, rather than trapping information behind unnecessary barriers.

    These foundations provide a basis for adapting as products and capabilities change. An independent and a large chain may provide them differently; neither needs more complexity than its work requires.

    Invest in the ability to use and adapt technology, not just in the technology itself.

  • Principle 3

    Improve through learning, with clear responsibility

    The value of an application has to be established in real work. Begin at a manageable scale, learn from the results and the people affected, then expand, change or stop accordingly. Neither adoption nor greater automation should be treated as inevitable.

    Whether AI assists a person or acts automatically, the hotel remains responsible for the outcome. Oversight and safeguards should reflect the possible consequences for guests, staff and the business, rather than impose the same restrictions on every task.

    Make progress through evidence and experience, while keeping responsibility clear.

The six areas

Six foundations, three questions each.

  • Area A

    People

    The people involved can use, evaluate and work alongside AI appropriately.

  • Area B

    AI tools & access

    Intended users have suitable, approved and manageable access.

  • Area C

    Data & knowledge

    Required information is accessible, trustworthy and maintained.

  • Area D

    Systems & openness

    The hotel can retrieve its information and establish workable connections.

  • Area E

    Safe use & control

    Information boundaries, authority, oversight and recovery are clear.

Who should be included?

Include people by their part in the work.

Consider every hotel function. Provide skills, access and support according to people's part in the work, not simply their job title.

A department can benefit from AI-assisted work without every employee operating an AI tool. Conversely, frontline staff should not be excluded merely because they do not normally work at a desk.

Three kinds of involvement

Direct user or operator
Suitable access; the ability to carry out or supervise the task; clear boundaries and practical support. This includes the people operating an automated service.
Reviewer or approver
The ability and authority to judge quality, approve consequential work, correct it or stop it. This need not involve reviewing every individual output.
Receives or is affected by the work
Understandable information about relevant changes and a way to raise concerns or correct mistakes. A personal AI account is not automatically needed.

The same person can occupy several roles. Use role or team names rather than collecting individual staff names unnecessarily. An external provider or head-office team can fulfil a role when the arrangement genuinely serves the assessed hotel.

Housekeeping example

When supervisors prepare checked multilingual briefings, supervisors need appropriate access and skills. Attendants need usable briefings and a feedback route; individual subscriptions are not inherently required.

When attendants retrieve approved procedures directly through an AI-enabled tool, those attendants need appropriate access during the shifts being assessed. Supervisor-only access would not cover that arrangement.

Neither arrangement is automatically more mature. They are different ways of organising the work.

Three steps

How the assessment works.

  1. Think about departments and roles

    Who your current AI goals involve: who would use AI, who would check its work, and who would be affected.

  2. Answer the six areas

    Three questions per area, answered with 0, 1, 2 or Not sure.

  3. Review and see your results

    An area profile, the questions still open and up to three next steps.

Start an assessment

Assess the work you have in mind.

No account or email is needed to see the result. You can mark uncertain answers for someone else to verify.

What do the scores not establish?

They do not establish legal compliance, security assurance, employee competence certification, financial return or approval of an AI application. They reflect reported foundations for a stated scope.

Understand the work and people involved. Identify which foundations are actually in place. Take the next useful step with clear responsibility.

Keep exploring

Explore more of Market Intelligence