- A travel digital assistant answers questions about bookings, changes, baggage, loyalty, and travel rules from content you approve, and shows the policy behind each answer.
- Enterprise h2oGPTe grounds every answer in your own documents, so the assistant does not invent a rule or a fare condition.
- The assistant can suggest upgrades, add-ons, and alternative options that fit the traveler's trip, then hand the conversation to an agent when a person is needed.
- Traveler data stays in the environment you choose: on-premises, air-gapped, private cloud, or cloud.
Answer traveler questions before they reach an agent
Travelers contact you when plans change: a delay, a missed connection, a baggage question, a fare rule they do not understand. The questions peak at the same moments, and the wait for an agent peaks with them.
Your answers live in fare rules, policy pages, loyalty terms, and itinerary systems. A general chatbot does not know them, and a wrong answer about a refund or a change fee costs you the booking and the traveler's trust.
How a travel digital assistant works
Enterprise h2oGPTe grounds every answer in the content you approve, then shows its sources so a traveler or an agent can check the answer against the actual policy.
Step 1: load your approved content
Fare rules, change and refund policies, baggage and loyalty terms, destination information, and your service scripts go into a collection the assistant can search.
Step 2: answer from the source
Enterprise h2oGPTe finds the passages that answer a question and writes the answer from them, in the traveler's language, rather than guessing at a policy.
Step 3: add the trip context
With the traveler's consent, the assistant reads the booking or itinerary so the answer fits the actual trip: the fare conditions on that ticket, or the connection time at that airport.
Step 4: suggest what fits
The assistant offers relevant options, such as a seat upgrade, extra baggage, or a better connection, based on the trip and your offer rules.
Step 5: hand off cleanly
When a request needs a person, the conversation passes to an agent with a summary, so the traveler does not repeat the story.
Keeping traveler data in your environment
Enterprise h2oGPTe runs in four deployment options: on-premises, air-gapped, private cloud, and cloud. Traveler data, conversation logs, and models stay on infrastructure you control. Guardrails keep the assistant to approved topics, and redaction can remove personal data from logs.