The setting
's runs in the cloud. It covers travel policies, approvals, and bookings of hotels, flights, cars and rail.
A confirmed hotel stay cannot become a policy exception without changing the record travelers rely on.
Travelers need a dependable confirmation, while travel managers need a defensible account of policy and availability changes.
Who you’d be doing this for
“My traveler has a confirmation email, but my policy view says the stay is out of bounds.”
Stefan Dumitru · Corporate Travel Manager · a character in this brief
Owns hotel policy compliance and escalation handling for a global managed travel program.
What is at stake
Confirmed hotel stays are being reclassified after travelers receive booking confirmation. You must weigh a durable audit record against a recovery path that keeps travelers housed.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- confirmation trust vs policy accuracy
- automated recovery vs reviewer control
- traveler speed vs audit reconstruction
- service capacity vs self-serve resolution
Why Navan
Book with AI connects hotel search, policy, booking, and recovery in the same enterprise travel journey.
Written with these in mind
Not your kind of problem? 61 more at Navan, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at Navan. They are listed as sources, not as openings. The lines under a posting are its own words, where it meets this brief.
- Senior Product Manager, Flights (opens in a new tab)
- You won’t just own flight data or funnel metrics; you’ll design the intelligent conversational flight experience behind Navan Edge, where AI understands traveler intent, applies personal preferences, compares options, explains trade-offs, and guides users from search to booking with confidence.
- Your mission is to build the next generation of flight booking: a high-converting, personalized agentic experience that helps frequent business travelers find and book the right flights with less effort.
- Director, AI Enablement (opens in a new tab)
- Product Manager - Book with AI (opens in a new tab)
- Improve the product's key outcomes, including successful booking completion, conversion, time to book, user effort, CSAT, trust, and repeat usage.
- You’ll shape the conversational and user-interface experiences that power Book with AI, helping travelers express their needs, evaluate trade-offs, make confident decisions, and complete bookings with less effort.
- Product Director, Service Operations · no longer posted
- Evolve Internal AI Architecture: Lead the product evolution of Ava into an intelligent, AI-driven copilot for frontline travel consultants—enabling faster resolutions, automated policy enforcement, and personalized support across complex travel and expense scenarios.
- By combining cutting-edge technology, corporate cards, and a modern traveler experience, Navan is disrupting traditional enterprise T&E pacing past $900M+ in revenue with over $9B in Gross Booking Volume .
- Staff Product Manager (opens in a new tab)
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.
Where similar work appears
Other live briefs connected to this one, and what connects them.
The same setting, from another role
Each is set around Navan’s Corporate Travel Management Platform, written for a different role. They’re separate briefs, not the same scenario.
Corporate-card fraud cases are linked only after separate accounts have produced losses.
You must decide which relationships justify a review without sweeping legitimate travelers into the queue.
Linked account-takeover bookings could create $1.2 million in monthly payment exposure.
You must choose a production intervention that contains the ring without cutting off legitimate urgent travel.
Corporate-card hotel deposits now send 8.4% of legitimate payments to review.
You must lower the holds without opening a new fraud-loss path.
Other problems with a similar purpose
In each of these, as in this one, the aim is to build machine-learning systems that earn trust by staying explainable where their errors carry real consequences.
An audit found sensitive fields in 7% of shared artifacts that manual review missed, and the classifiers disagree on the edge cases.
You have to build evidence for a production commitment you cannot easily reverse.
One threshold sends very different numbers of drivers into coaching in each region, and reviewers there agree less often.
You have to balance fair treatment of drivers against enough coverage to improve coaching.
Confirmed takeover messages are reaching guests, while legitimate pre-check-in threads are also being blocked.
You must weigh fraud prevention against a guest losing the instructions needed to enter a booked stay.
