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Targeted AI workflow

Travel agency
workflow.

Answer trip requests faster, then keep improving the proposal.

Travel agency
workflow.

This is the clearest “AI but still personal” pattern: automate research and drafting, then let the travel expert improve the answer before sending.

LLM WORKFLOW MAPClick a use case
USE CASE

Answer trip requests faster, then keep improving the proposal.

Client emails are enriched with trip memory, hotel availability, maps, and an agent review loop before the final reply goes out.

This is the clearest “AI but still personal” pattern: automate research and drafting, then let the travel expert improve the answer before sending.

See workflow details
Drag the map, click a node, or prefill the contact form

6
connected touchpoints.

Client emails are enriched with trip memory, hotel availability, maps, and an agent review loop before the final reply goes out.

01 / Gmail / Typeform

Client request

Email, form, dates, budget, travelers.

02 / Airtable / Drive

Past trips

Reuse old proposals, hotels, notes, preferences.

03 / Booking.com / Amadeus

Hotel options

Check availability ideas and travel constraints.

04 / OpenAI / Claude

LLM itinerary

Draft route, questions, alternatives, and tone.

05 / Human in the loop

Agent review

Edit taste, feasibility, price, and supplier fit.

06 / Internal Tools

Send + follow up

Email, CRM update, reminder if no answer.

This is the clearest “AI but still personal” pattern: automate research and drafting, then let the travel expert improve the answer before sending.

Have a process that
should work better?

Describe the workflow, the friction, and what a useful outcome would look like. We will start there.