Resources · AI readiness assessment

How ready is your operation for AI, honestly?

Ten questions about your data, workflows and governance. Answer for the business as it runs today, not the one in next year's plan. You'll get a score out of 30, a band, and what we would do next in your position.

A line of cairns of increasing height up a slope, with a hiker measuring one.
Field noteReadiness is a line of cairns. Know which one you're standing at before choosing the next climb.

Self-assessment · 10 questions

The assessment

Pick the answer closest to how things work on an ordinary Tuesday. There are no trick questions, and a low score is useful information, not a verdict.

0 of 10 answered

01Where does your product and supplier information live?
02How current is the availability and pricing in the systems you sell from?
03Could software apply your cancellation, change and deposit policies without asking anyone?
04How do supplier confirmations get done?
05Do you know how long your core workflows take?
06How does your team use AI today?
07When weather, a closure or a delay hits mid-trip, what happens?
08How do your core systems share data?
09Do you know what AI assistants say about your business?
10How do you govern traveler data and decisions made with AI?

Why these ten questions

Most AI projects in travel don’t stall because of the model. They stall because availability is a day old, a cancellation policy lives in three email threads, or nobody knows how long a proposal takes today, so nobody can say whether the new one is better.

So the assessment weighs the unglamorous things: where your information lives, how fresh it is, whether your rules are written down, how your systems talk, and who is accountable when software drafts something a traveler will see. One looks outward, at what AI assistants already say about you. None of them asks which model you use.

What the bands mean

Most businesses we meet land in the middle band, and most have one or two questions that score far below the rest. Those low scores matter more than the total.

0–10 · Foundations first

Typical signs: information in inboxes, policies by deal, no timings. The fastest wins are unglamorous: one product source, written rules, a measured baseline. AI built on top of that will hold. AI built before it won't.

11–20 · Ready for a focused pilot

Typical signs: a main system of record, some integrations, a few sanctioned AI uses. You can run one workflow through an 8–12 week pilot with a real baseline and see what changes.

21–30 · Ready to go agent-facing

Typical signs: structured content and policies, availability that updates within minutes, a named owner for AI decisions. You can expose inventory through Agent Gateway with agent-safe checkout.

How it works

Next steps, whatever your score

  1. 01

    Take it twice

    Ask an operations lead and a technical lead to answer separately. The questions you disagree on are the most useful output of the whole exercise.

  2. 02

    Time one workflow

    Pick the workflow with the lowest score and time it for two weeks. Then run the numbers through the ROI calculator.

  3. 03

    Check your agent-readiness gaps

    If you scored low on policies or availability, the agent-ready checklist breaks those areas into concrete items.

  4. 04

    Bring your score to a call

    Share your answers on a discovery call. We'll tell you what we'd do first, and what we'd leave alone for now.

Bring your score to a discovery call

A band is a starting point. On a 45-minute discovery call we can turn it into a short list of what to fix, what to pilot and what to ignore.