Oversee provides AI services for travel management companies, online travel agencies and travel buyers. Servicing automation that handles bookings, changes, cancellations and traveler questions (AgentSee), price optimization that holds air and hotel bookings to the best available rate (FareSaver and HotelSaver), and sourcing analytics that ensure companies get what they were promised. One engine runs all of it.
The Oversee AI Engine has been running on live travel bookings since 2014. More than two million bookings optimized, more than $14 billion in annual booking volume under management as of 2026, air and hotel, across more than 7,000 customers in 60+ countries.
Oversee followed each of those bookings from the moment of purchase through departure, recording what actually happened. Millions of reference points, built from outcomes rather than published prices.
How Oversee’s AI knows what a traveler will book
Twelve years of booking data surfaces the patterns that matter commercially. Which routes an account really flies, and which ones only look good on paper. Which airlines an account picks repeatedly even when a cheaper option sits beside them. Which hotel chains a traveler books again and again. Which fare types hold to departure, and which routes, fares and airlines Oversee reshops most often.
So when a request arrives, servicing it with AgentSee starts with that context. The engine already knows what this customer is likely to book, which means the agent puts up options that get accepted rather than options that get sent back.
And the same picture opens up revenue. When a request comes in for a flight with no hotel attached, AgentSee floats the hotel this traveler usually books. Attachment rates lift on requests that would otherwise have closed as flight only.
How the Oversee AI Engine finds the best prices for travel
Oversee has reshopped millions of PNRs, following each one from booking through to travel, and watching the price the whole way. Fares do not all behave the same way. Some hold from the moment of purchase. Others drop soon after booking. A record that size gives our engine a sense of which is which, and what a trip like this one tends to cost at a given point before travel.
Hotels leave a wider window open, with more options to choose from. Most hotel bookings can be adjusted right up to the stay without a penalty, so the price stays in play almost right up to travel.
Between the two, our engine knows what a trip should cost and how long that price stays worth watching. AgentSee sits on the same engine, so the options an agent puts in front of a traveler come from a system that knows how to find the best available price for travel.
Are we actually getting the best fares and rates? Any travel buyer asking their agency about its AI strategy should be asking that too. An AI that cannot tell a good price from an available one is unlikely to find a better one later.
Why the commercial outcome improves for TMCs and OTAs
AgentSee takes the routine servicing work off the floor. Handling times fall by up to 50% on selected workflows, among them bookings, exchanges and cancellations. Nine in ten booking drafts land in under two minutes, nights and weekends included. Across live deployments, the volume runs to hundreds of thousands of requests a month.
And the answers themselves carry what the engine knows. Routes and airlines the account actually uses. A price that can be set against what the trip normally costs. Access to the best available rates and fares.
Those two effects compound. A request answered correctly the first time does not come back as a second request two days later, so the time saved does not disappear into rework. Agencies running AgentSee report fewer manual errors and better SLA compliance, which come up in every QBR.
The economics change too. A TMC or OTA can take on more volume without adding agents in proportion. Cost to serve comes down on one side, while the booking that comes out of the request is worth more on the other. Margin improves from both. Which is what the best commercial outcome available looks like in practice.
How Oversee runs inside an existing travel agency stack
Oversee works inside the GDS, booking and servicing channels a travel agency already operates. No new systems for agents to learn, and most partners go live within weeks.
Workflows stay hybrid, and the customer controls the depth of automation. Oversee works with agencies to set it workflow by workflow, according to their biggest bottlenecks. Private and self-hosted models are supported, with full audit logging across automation rates, escalation patterns and time to resolution.
More than $300 million has gone back to Oversee customers as of 2026. Twelve years of booking data is what makes the Oversee AI Engine unique, and it is what helps determine whether an answer is a good one. Book a demo and see what the engine does with your own requests.