How a Luxury Travel Agency Freed 12 Hours a Week Per Advisor
A luxury travel agency's advisors retyped client details across eight tools. One database they can question in plain English now saves each about 12 hours a week.
~$15K/year
Saved by retiring Salesforce
2–4 months
Implementation Time
$100K – $250K
Project Cost
the challenge
The agency ran on 8 disconnected systems, including Salesforce, a trip-planning tool, a GDS booking system, a project tracker, email, and file storage, so advisors had to re-enter the same client and trip details into multiple places by hand. There was no single source of truth for a client's history, and pulling together a trip itinerary or checking commission status meant hunting across several tools.
what they built
We consolidated all 8 systems into a single encrypted, versioned database and built a Claude-accessible layer on top of it, so advisors can ask plain-English questions and get instant answers, generate documents on demand, and have new documents automatically parsed and filed with built-in checks to avoid mismatching them to the wrong client or trip.
The team started with the hardest part, the data migration: exporting and reconciling records from all eight systems into a single encrypted, versioned database. Years of client and trip history disagreed across tools, with duplicate records and conflicting details for the same client, so they built disambiguation logic to catch conflicts automatically, though a fair share still needed manual review before the database could be trusted as the single source of truth. With the data in place, they built a Claude interface on top so advisors could ask questions in plain English and generate itineraries and confirmations on demand. Automated intake followed, parsing incoming documents and filing them against the right client and trip, with disambiguation checks before anything was filed. Rollout went system by system so advisors could keep working while each piece came online. In hindsight the team would budget more time for the cleanup phase up front.
best fit for
Advisory or agency businesses running on a patchwork of best-of-breed tools that never talk to each other, especially where advisors spend real time on lookups and document handling. It works best when there's a founder or ops lead willing to sign off on consolidating everything into one system of record.
Ai ROLE
It answers plain-English questions against the unified client and trip database, generates documents like itineraries and confirmations on demand, and classifies and files incoming documents against the right client and trip automatically.
impact
~$15K/year
Cut in licensing costs from a full Salesforce replacement
~12 hrs/week
Saved per advisor on lookups and admin
15-20%
Of previously missed commissions recovered automatically
Kevin Malaekeh
Co-Founder at ModernEdge AI
ModernEdge AI
Co-founder of ModernEdge AI, a Claude partner that builds custom AI agents, voice systems and document workflows for mid-market and PE-backed companies.
How did a luxury travel agency save 12 hours a week per advisor with an AI knowledge platform?
It consolidated eight disconnected tools into one encrypted database and put a Claude interface on top. Lookups and document work that meant switching between apps became a single plain-English query, freeing about 12 hours a week per advisor.
What AI tools were used for the travel agency platform?
Claude, accessed through a plain-English interface over a single encrypted, versioned database that replaced the agency's Salesforce, trip-planning, GDS booking and other tools.
What results did the luxury travel agency achieve?
About 12 hours a week saved per advisor, roughly $15,000 a year cut from licensing by replacing Salesforce, and 15-20% of previously missed commissions recovered automatically.
How long did the travel agency AI platform take to build?
First meaningful results came in two to four months, rolled out system by system so advisors could keep working.
Who is a consolidated AI knowledge platform best for?
Advisory or agency businesses running on a patchwork of tools that don't talk to each other, where advisors spend real time on lookups and documents and a founder or ops lead will sign off on one system of record.
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