ARKONIS

Whitepaper · Assessment framework

The 90-day hotel AI readiness assessment.

A practical assessment model for hotel leaders who want a clear AI roadmap before they fund pilots or vendor tools.

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Executive summary

Ninety days is enough to diagnose readiness, score use cases, define controls, and design the first pilot.

A hotel cannot become fully AI-ready in 90 days. It can, however, learn whether it is ready to fund the first controlled AI workflow.

The useful 90-day output is a diagnostic: system and data map, governance gaps, ranked use cases, pilot economics, and an operating cadence for the first build.

01 Govern

Assign owners, policies, controls, and decision rights.

02 Map

Connect use cases to data, systems, users, and risks.

03 Measure

Score value, feasibility, data quality, and trust risk.

04 Manage

Prioritize pilots, controls, review cadence, and stop rules.

Inside the paper

What the paper covers

Four linked arguments that make the topic usable for hotel owners, general managers, and commercial leaders.

01 Readiness, not hype

Why AI value depends on ownership, data quality, workflow, and controls.

02 The assessment map

What to inspect across systems, data, governance, people, and use cases.

03 Hospitality risk

Why guest data, employee adoption, vendors, and trust need early controls.

04 The 90-day output

A ranked roadmap that leadership can fund, stop, or sequence.

Source base

The paper uses primary sources, respected research, hospitality reports, and company examples. Vendor sources are used only where they directly describe hotel operating problems or public product evidence.