The Travel Operating System
The infrastructure behind every travel experience.
TravelXP.ai is the AI agentic layer for travel — connecting directly to travel content, inventory, GDS, and travel agent systems, then running the personalization, planning, trip management, engagement, and servicing that make every trip feel handled, not just booked. Travel agents, AI agents, travel partners, and card issuers build on this layer instead of building their own — so travelers, card members, and loyalty members keep coming back.
Already running traveldiari.com in productionPCI-DSS Level 1
target
SOC 2 Type II
target
GDPR & CCPA
by design
Multi-tenant isolation
cryptographic
The journey this runs
One decisioning, engagement, and service experience intelligence engine, from the first search to the next trip.
Planning, booking, protecting, remembering, and coming back: every stage reads from and writes to the same traveler profile, so nothing resets in between.
Understand your options
Plan
Before any money moves, the traveler sees destinations, hotels, and flights matched on what actually matters to them, not just price and city. The goal is a real choice, not a results page.
Get the best experience for the money
Book
At the moment of booking, the platform decides which card, which points, and which fare or rate code actually wins: best value for money, the rewards that really apply, and the class of service and perks the traveler is entitled to.
Stay protected after you book
Manage
Once booked, the trip keeps getting watched: price drops, upgrade openings, disruptions, and service-quality or risk issues get caught and acted on, instead of becoming the traveler's problem to notice and fix.
Keep what actually mattered
Remember
What the traveler loved, rebooked, or skipped becomes durable preference signal, not a post-trip survey nobody fills out, so the next trip starts smarter instead of from zero.
Come back to more rewards and status
Return
In the months before the next trip, loyalty status, points about to expire, and relevant offers surface on their own, so the traveler comes back to higher rewards and better status, not a cold start.
Why now
The industry just named exactly what this platform is built for.
McKinsey · 2026
"Agentic AI will not simply improve customer experience, it will redefine how it is delivered."
McKinsey maps agentic CX across three horizons, defined by how broadly agents can coordinate decisions, from a single workflow to an entire ecosystem of partners. Most companies are stuck at Horizon 1.
One workflow, end to end: support, service, sales assistance. Where most companies are today.
Domain orchestration: workflows coordinate, handoffs carry context, the journey feels continuous.
Ecosystem experience engine: decisions orchestrated across functions, channels, and partners.
TravelXP.ai is built as Horizon 3 from day one. Orchestrating across issuers, airlines, suppliers, distributors, and affiliates isn't a later phase, it's the whole premise of a platform.
Read the McKinsey articleSkift · Sep 2026
"Could AI Agents Turn the Time Between Trips Into a Revenue Channel?"
Skift's reporting names the gap directly: most travel-brand contact is tied to a transaction, a search, a booking confirmation, a disruption notice, a post-trip survey. Once the trip ends, the relationship goes quiet until the traveler starts planning again.
What that costs a brand
- • No owned channel for the months between trips
- • Re-engagement means paying acquisition cost again
- • Service recovery, ancillaries, and retention are measured in isolation, not as one journey
The Retention & Re-Engagement Agent and Travel Memory Agent exist specifically for this gap, turning the dead time between experiences into an owned, persistent channel instead of dead air.
Read the Skift articleProof, not promises
This isn't a concept. It already runs a live product.
TravelDiari.com is a real, in-production consumer travel app built on this same platform: the same Knowledge Graph, the same AI agents, the same shared core services. See exactly which capability powers which part of it.
Live on traveldiari.com today
- Card Coach agent ranking 70+ credit cards by effective return, live on every search
- Attribute-based hotel matching across 100+ destination guides
- A shipped B2B issuer-partnership program and enrichment API, already selling this exact pitch
The secret sauce
Every fare, rate, product, and loyalty code decides who actually gets the upgrade, the loyalty benefits, and the enhanced service.
A booking class, a rate plan, and a loyalty code look like backend plumbing. In practice, they're the single biggest lever in whether a traveler's elite status, card, or points redemption does anything at all, and almost no consumer-facing surface decodes it before checkout.
Airline booking class (RBD)
Same route. Same price. Different letter. Different upgrade.
Every fare is filed under a booking class (Y, B, H, J, D, K, and dozens more), and that class, not the cash price, is what an airline's own system checks before clearing a complimentary upgrade or crediting elite-qualifying miles. Two fares priced identically can carry completely different entitlements.
$412 to Lisbon, two fares, same price
The platform surfaces B before the traveler ever notices the two fares looked the same.
Hotel rate code
"Best flexible rate" isn't always the one elite status applies to.
Hotels file rates under codes tied to channel, source, and contract terms, and elite benefits like suite upgrades, breakfast, and lounge access are frequently scoped to specific codes, not to the room or the price. A prepaid, package, or OTA-sourced code can silently exclude every one of them.
Same property, two rate codes
The platform flags the $6-more code that actually qualifies, not the one that ranks first on price.
This is what the Fare Class & Rate Code Intelligence Agent runs on every search, decoding eligibility against the traveler's actual elite tier and card terms before price is ever compared, then handing off to the Payments & Rewards Agent to pick the currency that wins.
See the agentThe market
High-touch travel and loyalty value are large, growing, and still run on spreadsheets.
Card issuers are racing into travel. Loyalty programs are sitting on tens of billions in unclaimed value. And the advisor network everyone predicted AI would kill is growing its share of the market. This is the opportunity, and why servicing, not just search, is the product.
$1.4T
Global luxury travel market, 2023
Projected to grow at an 7.9% CAGR through 2030. The high-touch, high-margin end of travel is growing faster than travel overall.
Grand View Research, 2024$15B
Chase Travel's stated 2025 sales-volume goal
Up from $8B in 2022 when Chase launched its consumer travel portal as a self-described top-5 U.S. travel provider — one of several major banks racing into direct travel distribution.
Skift, May 2022: "Chase to Launch Consumer Travel Portal; Claims Top 5 U.S. Travel Provider With $8 Billion in Sales"$95B+
Loyalty value sitting on the table
$11.6B+ owed in unredeemed points by just the seven largest hotel programs, plus roughly $83.8B in combined 2026 valuation across Delta, American, and United's mileage programs alone.
Skift, Apr 2026: "The $7 Billion Loyalty IOU"$46.9B
U.S. travel agency industry revenue, 2026
Up at a 16.7% CAGR over the past five years. The host agency and advisor network is growing, not shrinking, even as AI tools proliferate.
IBISWorld, 2026: Travel Agencies industry report+37%
Growth in $1,500+/night hotel bookings
Virtuoso advisors are seeing roughly 21% year-over-year sales growth overall, with the sharpest gains at the very top of the market.
TravelAge West / Virtuoso, 2026 luxury travel trends60%
Travelers who still prefer a human touch
Prefer human-curated recommendations over AI-generated ones, per a Civitatis survey of 7,000+ travelers (commissioned by a human-guided tour marketplace, and skewed toward travelers over 46 — read the preference as directional, not definitive).
Civitatis survey, 2026 (7,000+ travelers)AI's job here isn't to replace the advisor, the agent, or the concierge desk. It's to give them (and the traveler) the eligibility, entitlement, and servicing intelligence that used to take a human hours to piece together. The market isn't rewarding whoever automates the human out. It's rewarding whoever makes high-touch service scale.
How the platform works
Not another booking site. Not another AI travel bot. The infrastructure underneath both.
Four layers, built once, consumed by every partner on the platform.
Knowledge Graph
Attribute-based hotel data, destination intelligence, and a direct tour/package provider registry, not property codes and city search.
See the graphAgent Orchestration
Thirteen specialized agents spanning the full travel experience: profile, personalization, group coordination, planning, fare and rate eligibility, offers, payments and rewards, travel management, reconciliation, memory, and re-engagement, all on a standardized tool protocol (MCP).
Meet the agentsShared Core Services
Continuous reshopping, dynamic packaging, and fare-class/rate-code decoding: the commodity primitives partners stop having to rebuild themselves.
See it liveDistribution & Connectivity
Multi-source aggregation normalizing NDC/GDS endpoints alongside direct hotel CRS/PMS and tour operator feeds.
For suppliersWho it's for
Built for the ecosystem, not just the traveler.
Travel Agencies & Tour Operators
Deliver the high-touch service clients pay you for, without building the tech yourself.
Learn moreTravel Suppliers, Airlines & Hotels
Keep redemption, distribution, and service quality inside your own ecosystem.
Learn moreCard Issuers
Your card members are paying for benefits they're not realizing.
Learn moreFor developers
Standardized tools. Not another one-off integration.
AI agents interact with the platform through defined tool contracts over the Model Context Protocol (MCP), or you can consume the same capabilities directly via REST/gRPC. Raw database mutations and direct GDS access are barred by design; every integration goes through the same audited surface.
Read the developer docsExample MCP tool definition
{
"name": "query_hospitality_attributes",
"description": "Searches for properties matching specific physical,
acoustic, and experiential constraints.",
"parameters": {
"type": "object",
"properties": {
"destination_id": { "type": "string" },
"check_in": { "type": "string", "format": "date" },
"check_out": { "type": "string", "format": "date" },
"required_attributes": {
"type": "array",
"items": {
"type": "string",
"enum": [
"QUIET_COURTYARD",
"NATURAL_LIGHT",
"HIGH_SPEED_WIFI",
"DEEP_TUB",
"WORK_STATION"
]
}
}
},
"required": ["destination_id", "check_in", "check_out", "required_attributes"]
}
}Let's talk
Bring the platform into your product.
Whether you're an issuer, an airline, a supplier, a distributor, or a publisher, tell us what you're building and we'll show you exactly which layer of the platform fits.
Request a demo