01 · The situation
Start with the actual process.
An enquiry combines accommodation, dining and spa services. Preparing a useful proposal means gathering reliable information and maintaining follow-up until the guest decides.
02 · What I would analyse
Information, responsibilities and decisions.
- The requested services and information needed to respond.
- Availability, approved rates and conditions for each service.
- Proposal ownership, follow-up and client decision.
- Dependencies, exceptions and confirmation rules.
03 · What I would design
A functional basis for implementation.
A functional flow from enquiry to proposal, decision and confirmed booking, with information sources, owners, approved terms and follow-up rules. Technical integration is evaluated separately.
A proposed package is not a confirmed booking. Verify the services, capture acceptance and recheck availability before confirming. Offer alternatives only with the guest’s agreement.
04 · Where AI could help
Support grounded in verified information.
AI could draft a proposal from verified information or summarise pending enquiries. It should not invent availability, prices or acceptance.
05 · How to validate value
Measure the improvement before expanding it.
Review response time, eligible enquiries, proposals, completed bookings, cancellations and margin under comparable demand and capacity.
I am Tamara González Molina, a Strategic Generative AI Consultant and Functional AI Solutions Architect. I do not sell tools or develop software. I start by understanding the business.
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