Hotel AI Projects Should Pass Four Key Tests: Value, Likelihood, Effort, and Risk Before Implementation
💻 Most hotel AI projects should pass four tests: Value, Likelihood, Effort, and Risk. Tasks with high value and likelihood but low effort and risk should be prioritized. For instance, missing a direct booking email costs 3,000€, and missing four monthly costs 12,000€ in lost sales. Changing systems, like switching a PMS, may cause ~20% productivity dips for two months. Evaluate costs such as token, API, subscription, and potential risks to determine feasibility.
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