A booking tool lists everything the traveler can book.
A general AI assistant can summarise the options it thinks most people want.
Neither tells the traveler what's actually right for them, based on deep experience, policy guidance, available promotions, preference.
Tripism Intelligence tells them what to do, reasoned from your program, policy and colleague feedback, resolved to this traveler, this route, this trip.
It gives your team the dial: the guidance travelers receive is shaped by you, and the behavioral changes are yours to measure.
The compliant choice surfaces first. Out-of-policy options are flagged with the reason, before booking, not discovered in an expense rejection.
A benefit they're entitled to but didn't know about appears at the point of decision - not buried in a PDF.
Guidance reflects their grade, route and allowance. A frequent international traveller and an occasional domestic one each get the advice that fits them.
The recommendation carries the weight of peer experience: what colleagues on the same route actually experienced.
Enterprise Knowledge
Travel policy
Program content
Preferred suppliers
Negotiated rates & benefits
Trip & expense data
Behavioral Knowledge
Traveler behavior
Booking patterns
Reviews
Feedback
Program usage
Knowledge Engine
Updated every booking
Every traveler interaction
Every review
Every supplier change
Every program update
Travelers reach this advice in the way that suits them. Where the organisation has a company-wide AI assistant, the answer arrives inside the tools they already use.
Where it doesn't, they ask Ask TripTM - Tripism's own conversational interface - directly. Same intelligence either way.
