The agent network
Thirteen agents. One graph. A travel experience that doesn't end at checkout.
Most travel-brand contact is transactional: a search, a booking confirmation, a disruption notice, a post-trip survey. The full travel experience (planning, booking and payments, offers, loyalty, in-trip service, and the memories after) gets treated as disconnected moments instead of one relationship. McKinsey calls the ecosystem-wide version of this "Horizon 3" agentic CX. Most companies are still at Horizon 1. This is built as Horizon 3 from day one.
Runs underneath every stage
The identity, personalization, and trust layer every other agent reads from and writes to, so none of it resets between stages or partners.
User Profile Agent
The persistent identity layer every other agent reads from
What it does
Builds one durable profile per traveler across every partner touchpoint: loyalty IDs, card portfolio, past travel experiences, stated preferences (quiet hotels, aisle seats, dietary needs), and inferred signals (books 6 weeks out, prefers direct flights). Backed by the Knowledge Graph, not a per-app session store.
Example
A traveler books through an airline's app in March and a card issuer's portal in July. Same profile, same preferences, same loyalty status, no re-onboarding.
Why partners care
This is the direct fix for the problem the industry is naming right now: context resets after every transaction, which is the biggest reason travel engagement goes dormant between experiences.
Personalization & Servicing Agent
How every interaction adapts to the person, not just what it says
What it does
Tunes channel, tone, timing, and depth of every touchpoint against the same Profile and Memory data every other agent reads from: a quick in-app card for one traveler, a detailed email for another, silence for someone who's opted out of proactive contact.
Example
A traveler who's never opened a marketing email gets their transfer-bonus alert as an in-app card instead. Same information, a channel that actually gets seen.
Why partners care
This is the agent that keeps every partner's touchpoint feeling like one continuous relationship instead of a dozen disconnected ones. It moves past a single workflow into the kind of coordinated, ecosystem-wide experience the industry is now describing as the next stage of agentic CX.
Group & Affiliate Travel Agent
Coordinates planning, booking, and payments across an entire group, not one traveler at a time
What it does
Extends the same Profile, Planning, and Payments & Rewards logic across an entire group, family, friend circle, club, or affiliate cohort: tracking who's confirmed, splitting and reconciling payments and points across multiple cards, and keeping the itinerary synced for everyone instead of one organizer juggling side threads and spreadsheets.
Example
A 12-person ski trip organized by one friend: each traveler's own card and loyalty program gets checked for the best way to pay their share, room assignments and RSVPs stay synced in one place, and the organizer gets a single view instead of a dozen separate group chats.
Why partners care
Group and affiliate travel (family reunions, clubs, corporate and incentive groups) is disproportionately high-touch and high-margin for tour operators and agencies, and the coordination overhead across many travelers and many cards is exactly what keeps it from scaling without this layer.
Understand your options
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.
Recommendation Agent
Destination, hotel, and package matching that improves with use
What it does
Matches destinations, hotels, and packages using attribute-level data from the Knowledge Graph (acoustic profile, walkability, family amenities), not just price and city, and gets sharper with every accepted or ignored suggestion.
Example
"Park Hyatt Niseko: matches your last 3 stays' preference for quiet, ski-in/ski-out, Hyatt loyalty tier." Predicted uptake on attribute-matched suggestions is measurably higher than generic city search.
Why partners care
Higher uptake per recommendation compounds directly into attach revenue for suppliers and transaction volume for distributors and issuers.
Travel Planning Agent
Multi-agent itinerary construction, start to finish
What it does
Clusters activities, balances time and budget, and aligns with the traveler's stated "vibe," pulling destination and package data straight from the Knowledge Graph into a bookable itinerary.
Example
A 5-night Tokyo itinerary auto-sequenced around a food-focused, low-walking-distance preference, with two supplier-sourced experiences slotted into open evenings.
Why partners care
This is the moment distributor and affiliate inventory gets surfaced to a traveler who is actively deciding, not just browsing.
Get the best experience for the money
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.
Payments & Rewards Agent
Best card, best currency, best value, decided at the moment of booking
What it does
At the point of booking, ranks the traveler's own cards by effective return for this specific purchase, compares cash against points across every loyalty program in their wallet at live redemption value, and layers in statement credits, transfer bonuses, or discounts, whichever currency actually wins.
Example
"Use the Sapphire Reserve here: 3x plus a $50 hotel credit beats redeeming 38,000 Hyatt points at this property's current cash rate."
Why partners care
This is the actual revenue-management lever for issuers and suppliers: steer spend toward the payment method and incentive with the highest predicted redemption, instead of a blanket discount to everyone.
Fare Class & Rate Code Intelligence Agent
Decodes the booking class and rate code every fare and room carries, so eligibility is settled before price is even compared
What it does
Every airline fare has a booking class (the letter code behind the ticket: Y, B, H, J, D, K, and dozens more) and every hotel rate has a rate-plan code, and that code, not the price, is what actually decides whether a ticket or room is eligible for a complimentary upgrade, elite-qualifying miles, lounge access, or a card's travel protections. This agent decodes that layer for every option in a search, cross-references it against the traveler's specific elite-tier terms and the exact benefit conditions on the cards in their wallet, and ranks options on real entitlement, not sticker price.
Example
Two $412 fares to Lisbon look identical. The B-class ticket is upgrade-eligible and earns 150% redeemable miles under the traveler's Gold status; the K-class fare at the same price is excluded from both. Same logic runs hotel-side: a property's "best flexible rate" is sometimes the one code excluded from suite-upgrade eligibility. The platform flags the code that's $6 more a night but is the one that actually qualifies.
Why partners care
This is the layer that turns a card's premium benefits and an airline or hotel's elite program from marketing copy into something that reliably triggers, which is exactly what protects renewal for issuers and loyalty engagement for airlines and hotels. It hands straight off to the Payments & Rewards Agent to pick the currency that wins once eligibility is settled.
Offer Agent
Real-time offer targeting across every currency a partner wants to spend
What it does
Decides which promotional offer (an issuer-funded statement credit, a merchant discount, a point multiplier, or a platform incentive) to surface at the moment it will actually convert, instead of blasting the same offer to every traveler. Runs the platform's Dynamic Promotion Engine: real-time targeting based on traveler profile, loyalty tier, and spend behavior.
Example
A traveler comparison-shopping three similar properties gets a same-session cash discount; a traveler who already books that brand loyally gets a transfer-bonus nudge next month instead, because that's the offer more likely to convert for them.
Why partners care
Agentic AI doesn't just speed up how offers get delivered, it redefines which ones get sent at all. Issuers stop paying for offers nobody redeems and start paying only for the ones that actually convert.
Stay protected after you book
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.
Price Monitoring & Alert Agent
Continuous reshopping after the booking is already made
What it does
Watches booked airfare and lodging rates continuously, and alerts, or auto-rebooks within the traveler's saved rules, when a price drop, upgrade, or better redemption path appears.
Example
"Fare dropped $85 after booking. Rebooked automatically, penalty-free, per your saved preference."
Why partners care
Proactive price protection is one of the highest-trust touchpoints in travel, and a natural moment to hand off to the Payments & Rewards Agent for the next incentive.
Travel Management Agent
Rebooking, waiver management, disruption recovery, and re-planning, in one place
What it does
Handles check-in prompts, gate changes, cancellations, and disruption recovery in real time, files and tracks waiver requests with the airline or supplier instead of leaving the traveler to call and wait on hold, re-plans the rest of the itinerary when a disruption changes what's actually possible, and tracks service-quality signals (delays, cleanliness, check-in friction) back to the specific hotel, airline, or package provider that caused them.
Example
A canceled flight triggers an automatic waiver request, a rebooking proposal on the next available flight, a same-day hotel voucher, and a re-planned itinerary for the days that follow; the airline's on-time performance for that route gets logged to inform the next Recommendation Agent pass.
Why partners care
This is exactly the "service recovery" moment the industry is trying to measure ROI on: the highest-emotion, highest-churn-risk touchpoint in the entire journey, and the moment a waiver gets filed or a trip gets re-planned is where loyalty is won or lost. It feeds supplier-level quality data back into the graph.
Reconciliation Agent
The back-office trust layer partners actually audit, once the dust settles
What it does
Reconciles loyalty accruals, redemptions, statement credits, and partner payouts across every system that touches them (the platform's own ledger, the issuer's, the merchant's), flagging mismatches before they become a support ticket or a dispute. Runs after booking and travel activity actually happens, closing the loop rather than predicting it.
Example
A statement credit shows as applied in the issuer's system but not TravelXP.ai's. It gets flagged and resolved automatically, with a full audit trail attached, before the cardholder ever notices.
Why partners care
Strong audit controls so agent actions stay transparent and reversible are now table stakes for any agentic deployment a risk or finance team will sign off on. For a card issuer, this is the difference between AI agents as a liability and as something they can actually rely on.
Keep what actually mattered
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.
Travel Memory Agent
Turns what actually happened into durable preference signal
What it does
Captures standout moments, saved places, and what worked or didn't, then writes it back into the Knowledge Graph as preference signal, not a one-time post-trip survey nobody fills out.
Example
A traveler who rebooked the same rooftop-bar reservation twice gets that logged as a "prefers social/nightlife" signal for the next Recommendation Agent pass, no survey required.
Why partners care
This is the raw material that makes every future recommendation and payment decision sharper. Without it, every experience starts from zero again.
Come back to more rewards and status
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.
Retention & Re-Engagement Agent
The agent built for the gap the industry just named
What it does
Uses Travel Memory and Profile data to proactively resurface relevant offers, price drops on saved destinations, and loyalty-expiration nudges, on a cadence that reads as timely, not as a weekly newsletter.
Example
Four months after a trip, a transfer bonus opens to a destination the traveler's Travel Memory flagged as "want to return," surfaced once, at the right moment.
Why partners care
This is the direct mechanism for turning the months between travel experiences into a revenue channel: direct bookings and re-engagement without paying acquisition costs again.
See these agents mapped to your side of the business.
See solutions by audienceLet'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